138 sources from practitioners, by month and sentiment.
Engineering leaders and teams report the clearest value after they establish shared conventions and context. Indeed, Applied Intuition and Shopify describe Claude Code as their engineers' most used agent in 2026. Their main concerns are review load and the amount of work to delegate.
ClickHouse's chief technology officer says agents became fully usable for daily work on its large C++ codebase from Opus 4.5, and the company mostly runs Claude Code in the terminal with Codex as a backup; he finds Claude Code slow at times, with bugs and glitches, and says agent output still needs review.
"Since Opus 4.5, agents have been fully usable for daily work on large C++ code bases."
Excerpt, Alexey Milovidov
"Claude Code is a very powerful tool, but it can be slow, and it has bugs and glitches. I still recommend using it over integrated agents."
Same speaker
"For CLI agents, we use mostly Claude Code with Opus 4.6, but some people prefer Codex CLI with Codex 5.4."
Same speaker
Published Jul 14, 2026ClickHouse engineering, large C++ codebase, company-wide agent use
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Positive
Maxime Beauchemin, Founder and Chief Executive Officer of Preset
Preset's founder says Claude Code was the first AI tool that worked on large repositories, clearing refactors and test backlogs in minutes plus review time, and that the LLMS.md and CLAUDE.md files in the Superset repo became the most helpful documents the team ever wrote.
"In our Superset repo, our LLMS.md and CLAUDE.md files have become the most helpful documents we've ever written."
Excerpt, Maxime Beauchemin
"Before Claude Code (mid-May if you were first in line), AI pretty much sucked on large repos."
Same speaker
Published Aug 4, 2025Preset, the company behind Apache Superset; large open source repository
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Cost predictability and limits
After a year as a Cursor power user, Sewell moved his agent work to Claude Code, the only agent that has successfully updated an 18,000-line React component at Builder.io. He runs it with permission prompts skipped and calls the US$100 Max plan worth it.
"No AI agent has ever successfully updated this file except Claude Code."
Excerpt, Steve Sewell
Published Jul 11, 2025self-described: Builder.io, large React codebase; a Cursor power user for a year before the switch
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits, Adoption and upkeep
At incident.io, many engineers adopted Cursor first, and Claude Code then became the biggest change, with the entire team using it regularly by mid-2025.
"Claude Code has been the biggest change, though. Our entire team are regular users. Claude Code is the interactive terminal app that runs an Anthropic agent to explore and modify your codebase.”…"
Excerpt, Lawrence Jones
Published Jul 1, 2025self-described: incident.io engineering team
Positive
Ahmad El-Shafey, Senior Engineering Manager at Slack
A Slack engineering manager used Claude Code to turn one doc fix into systematic cleanup and tooling, but found rules drift on bigger tasks, review stays essential, and over-engineering gets easy.
Published May 13, 2026self-described: Slack, their engineering team's repo during Focus Week
Practitioner account; direct use; counts toward Delivered outcomes
Positive
Charles Herring, co-founder and chairman of WitFoo
Brought WitFoo's decade-old production platform into Claude Code work by first having it document the code into CLAUDE.md, then writing a WITFOO_WAY.md standards file and cleaning up debt before a rebuild. Says without a standards document each Claude session makes slightly different decisions.
"Without a clear standards document, each Claude session makes slightly different decisions."
Excerpt, Charles Herring
Published Feb 10, 2026self-described: WitFoo, cybersecurity platform; a decade of production code moving to a rebuilt product
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Reliability
HumanLayer's founder describes a research, plan, implement workflow built around Claude Code's context window that took the three-person team to two to three times throughput on complex brownfield codebases.
"…minute, but like the point is you're constantly st keeping your context window small. You're building your entire workflow around context management. So comes in three phases. research, plan, implement. Um, and we're going to try to stay in the smart zone…"
PromptLayer's founder says Claude Code let the team clear its backlog under a 'build it if under an hour' rule, while warning reviews remain essential because it makes characteristic mistakes.
Published Sep 3, 2025self-described: PromptLayer, startup engineering team
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes
Cleared what Orta Therox calls years of tech-debt backlog solo in six weeks with Claude Code while working on the existing roadmap. Credits monorepos and boring, explicit technologies, and finds the change hard to see in pull request, commit and line counts.
Published Jul 30, 2025self-described: Puzzmo, small engineering team, monorepos
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits
With a subject expert, Claude Code added Python support to Thoughtworks' CodeConcise in half a day, against two to four weeks for a developer pair. Three JavaScript attempts failed: the grammar would not work, then it used libraries that did not exist, then internal packages that did not exist. The author says the agent lacks stronger verification.
Published Mar 10, 2025self-described: Thoughtworks team building the CodeConcise legacy-modernization tool
At Applied Intuition, which uses every coding tool and ranks adoption on a leaderboard, Claude Code has replaced Cursor as the most used tool.
"Yeah. We use everything. So Cursor was, I think the hottest tool in the company for a good while. Now Claude Code, I think has taken the reign on that. We have a internal leader, leaderboard that we use just to sort of encourage adoption…"
Transcript excerpt, Peter Ludwig, around 21:55 in the episode
Published Apr 27, 2026self-described: Applied Intuition, company-wide tool use with an internal adoption leaderboard
Brex lets employees choose between Cursor, Windsurf and Claude Code credits, and some engineers stay on Claude Code after nine months because they know it.
"…some folks are just like, I want to stick with Cloud Code because I know it now. I’ve been working with it for like nine months, so I don’t need to keep switching."
Transcript excerpt, James Reggio, around 21:15 in the episode
Published Jan 17, 2026self-described: Brex, a few seats of several tools chosen by employees
Rated four coding agents on a vibe-coded app and two large pre-AI repos. Claude Code averaged 6.8 of 10 against Cursor's 8, with 5 of 10 on context; calls it best for rapid prototypes and a productive terminal UX.
"Cursor leads on setup speed, Docker/Render deployment, and code quality, while Claude Code is best for rapid prototypes and a productive terminal UX."
Excerpt, Mitch Alderson
Published Aug 12, 2025self-described: Render engineering; timed tests on its own production codebases and a new Next.js app
Reports great success with a short CLAUDE.md, skills, design and plan sessions before building, high test coverage, and Claude Code review plus human PR review for faster velocity.
Published Oct 3, 2026self-described: Team using Claude Code in the terminal, with pull request review
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
Positive
Ahmad El-Shafey, Senior Engineering Manager at Slack
A Slack engineering manager used Claude Code to turn one doc fix into systematic cleanup and tooling, but found rules drift on bigger tasks, review stays essential, and over-engineering gets easy.
Published May 13, 2026self-described: Slack, their engineering team's repo during Focus Week
Practitioner account; direct use; counts toward Delivered outcomes
Airtasker rolled Claude Code out across engineering via AWS Bedrock for data sovereignty, with managed settings, OpenTelemetry dashboards, and a custom spend tracker after CLI cost figures proved unreliable.
Published Nov 10, 2025self-described: Airtasker, engineering-wide rollout via AWS Bedrock
Practitioner account; ran the rollout; counts toward Delivered outcomes, Operational control, Cost predictability and limits, Adoption and upkeep
Positive
Shrivu Shankar, leads AI developer tooling at Abnormal AI
Describes how Abnormal AI uses Claude Code on its monorepo: a strictly maintained 13KB CLAUDE.md, clear-and-document restarts over auto-compaction, a hook that blocks commits until tests pass, and enterprise API keys for usage-based pricing.
Published Nov 2, 2025self-described: Abnormal AI engineering, shared monorepo
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
After a year as a Cursor power user, Sewell moved his agent work to Claude Code, the only agent that has successfully updated an 18,000-line React component at Builder.io. He runs it with permission prompts skipped and calls the US$100 Max plan worth it.
"No AI agent has ever successfully updated this file except Claude Code."
Excerpt, Steve Sewell
Published Jul 11, 2025self-described: Builder.io, large React codebase; a Cursor power user for a year before the switch
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits, Adoption and upkeep
incident.io engineers run several Claude Code agents in parallel via Git worktrees and plan mode; one US$8 session delivered an 18% faster API generation step, though architecture stays human-led.
Published Jun 27, 2025self-described: incident.io, product engineering team
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Operational control
Two Every staff who had switched from Claude Code to Codex in the months before September 22, 2026 were reconsidering after Opus 5.5, though one still prefers the Codex harness and the CEO still uses Codex for most work.
"Mike Taylor and Tyler Nishida are former Claude power users who switched to Codex in recent months, but Opus 5.5 has them reconsidering that switch."
Excerpt, Katie Parrott
Published Sep 22, 2026self-described: Every staff across evals, design and leadership
A Mercoin iOS engineer runs 22 Claude Code sessions across git worktrees with phase-specific slash commands to ship about 140 design-system migration PRs, plus dedicated sessions reviewing teammates' PRs.
Published Jun 22, 2026self-described: Mercari / Mercoin client team, design-system migration
Practitioner account; direct use; counts toward Delivered outcomes, Reliability
After months of human investigation went into one detailed prompt, Atolio let Claude Code run in auto mode for about six hours to move thousands of files from Svelte 4 to 5; two developers then spent about two days on warnings and QA, which found one bug.
"…we let it run in auto mode for around six hours on a Friday afternoon…"
Excerpt, Pablo Arellano
"Once it was in testing, the team found only one bug during QA."
Same speaker
Published Jun 4, 2026Atolio engineering team, Svelte front end with thousands of files
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Operational control
A Spotify team rolled out 240 automated dataset migration PRs with its Claude Code based agent, work it estimated at about 10 engineering weeks by hand; it needed very detailed prompts, and it dropped one pipeline framework whose style varied too much between teams.
"We estimated that it would have taken around 10 engineering weeks of effort to complete these migrations manually."
Excerpt, Devon Edwards Joseph
"…we successfully rolled out 240 automated migration PRs using Fleetshift…"
Same speaker
Published Apr 22, 2026Spotify data team migrating downstream dataset consumers with Honk and Fleetshift
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes
Cleared what Orta Therox calls years of tech-debt backlog solo in six weeks with Claude Code while working on the existing roadmap. Credits monorepos and boring, explicit technologies, and finds the change hard to see in pull request, commit and line counts.
Published Jul 30, 2025self-described: Puzzmo, small engineering team, monorepos
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits
Rolling out Cursor and Claude Code to about 40 developers, Tanda's co-founder finds Claude Code great at refactors but subtly wrong on bug fixes, estimating roughly 20% productivity gains.
Published Apr 29, 2025self-described: Tanda, about 40 developers, 12-year-old Ruby on Rails SaaS codebase
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Cost predictability and limits
Positive
alexmuro, Runs a small analytics and web products lab; manages 5 developers
Since trying Claude Code with Opus 4.5 alexmuro writes few features by hand, rebuilt a server and added sync, keeps a short leash, and reports mixed reactions across their five-person team.
Published Mar 15, 2026self-described: Small lab building a React/Node analytics and GIS platform for clients
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes
Positive
Charles Herring, co-founder and chairman of WitFoo
Brought WitFoo's decade-old production platform into Claude Code work by first having it document the code into CLAUDE.md, then writing a WITFOO_WAY.md standards file and cleaning up debt before a rebuild. Says without a standards document each Claude session makes slightly different decisions.
"Without a clear standards document, each Claude session makes slightly different decisions."
Excerpt, Charles Herring
Published Feb 10, 2026self-described: WitFoo, cybersecurity platform; a decade of production code moving to a rebuilt product
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Reliability
Positive
Maxime Beauchemin, Founder and Chief Executive Officer of Preset
Preset's founder says Claude Code was the first AI tool that worked on large repositories, clearing refactors and test backlogs in minutes plus review time, and that the LLMS.md and CLAUDE.md files in the Superset repo became the most helpful documents the team ever wrote.
"In our Superset repo, our LLMS.md and CLAUDE.md files have become the most helpful documents we've ever written."
Excerpt, Maxime Beauchemin
"Before Claude Code (mid-May if you were first in line), AI pretty much sucked on large repos."
Same speaker
Published Aug 4, 2025Preset, the company behind Apache Superset; large open source repository
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Cost predictability and limits
Graphite engineers found Claude Code's large refactor diffs unreviewable, even edited tests, so many used it only for point fixes until CLAUDE.md stacking instructions produced small reviewable PRs.
Published Jul 24, 2025self-described: Graphite engineering team, monorepo
Practitioner account, self-described; direct use; counts toward Delivered outcomes
Five engineers who paid US$800 to US$1,000 a month together on Max and Pro plans paid about US$1,000 a day for the same work at API rates, Dastidar writes.
"After this, the bill was approximately $1000 per day for the same work. So in one fell swoop, the cost went up thirty times."
Excerpt, Arunabh Dastidar
Published Oct 12, 2026self-described: A team of five engineers on Max and Pro plans
At a company thrifty with AI spend, had a US$100 a month spend while trying to be its AI leader. Sees that Claude Code can do a lot of heavy lifting at work, while most colleagues stuck cost-maxing cannot imagine hitting session limits; says there's a case the cost-maxing hurt the company.
Published Jun 28, 2026self-described: Company AI lead; most employees on US$20 monthly plans
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
Mixed
Shodhan Sheth, Enterprise Modernization, Platforms & Cloud Lead at Thoughtworks
Says, from 18 months of AI-assisted legacy modernization at Thoughtworks, that Claude Code is one of the best coding agents so far, exceptional on time and cost but weaker on correctness and drift, and that agents cannot yet reliably ingest tens of millions of lines at once.
"In terms of Claude Code, it’s exceptional when it comes to time and cost. What it’s not as strong as, though, are the bottom two issues…"
Excerpt, Shodhan Sheth
Published Mar 2, 2026Thoughtworks UK legacy modernization practice, 18 months of AI-assisted mainframe work, with Alessio Ferri
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Reliability
A Sanity engineer treats Claude Code like a junior developer with amnesia: three attempts per feature, Claude.md context, layered review, 2-3x faster shipping at roughly US$1000-1500 per month.
Published Sep 2, 2025self-described: Sanity, engineering team (internal workshop write-up)
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Cost predictability and limits, Adoption and upkeep
After a year as a Cursor power user, Sewell moved his agent work to Claude Code, the only agent that has successfully updated an 18,000-line React component at Builder.io. He runs it with permission prompts skipped and calls the US$100 Max plan worth it.
"No AI agent has ever successfully updated this file except Claude Code."
Excerpt, Steve Sewell
Published Jul 11, 2025self-described: Builder.io, large React codebase; a Cursor power user for a year before the switch
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits, Adoption and upkeep
Ronacher reports more than 90% AI-written code in a 40,000-line Go service at his new company. Claude Code is his tool for debugging that needs heavy tool access, such as a deadlock or corrupted data, and he still reviews every line.
"Claude is indispensable still when debugging and needing a lot of tool access (eg: why do I have a deadlock, why is there corrupted data in the database etc.)."
Excerpt, Armin Ronacher
Published Sep 29, 2025self-described: New company; a 40,000-line Go email service with generated Python and TypeScript SDKs
Practitioner account, self-described; direct use; counts toward Delivered outcomes
Intercom turned Claude Code into an internal platform: 13 plugins, 100+ skills, hook-enforced PR workflow, guarded read-only production console, OpenTelemetry observability and auto-updated CLAUDE.md files.
Published Mar 19, 2026self-described: Intercom, company-wide Claude Code platform (engineering, data, support, product)
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Operational control, Adoption and upkeep
Positive
Max Charas and Marc Bruggmann, Senior Staff and Principal Engineers at Spotify
Spotify moved its background migration agent to Claude Code after open source and homegrown agents struggled, finding end-state prompts, few tools and a verify tool give mergeable PRs.
Published Nov 24, 2025self-described: Spotify, fleet-wide background coding agent for migrations
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Operational control
Mixed
Peter Silberman, Chief Technology Officer at Fixify
Tried to have Claude Code zero-shot whole Fixify integrations, first through CLAUDE.md, then with specialized sub-agents that hallucinated permissions and API routes until an agent distilling vendor docs into a reference file cut that dramatically. Says full autonomy is probably not coming without human oversight.
"Unsurprisingly, Claude and its sub-agents hallucinated, permissions that didn’t exist, API routes that weren’t real."
Excerpt, Peter Silberman
"Will we ever ship a fully autonomous integration? Probably not without human oversight."
Same speaker
Published Aug 20, 2025Fixify, IT operations company with its own integration SDK
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Adoption and upkeep
incident.io engineers run several Claude Code agents in parallel via Git worktrees and plan mode; one US$8 session delivered an 18% faster API generation step, though architecture stays human-led.
Published Jun 27, 2025self-described: incident.io, product engineering team
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Operational control
Mixed or negative, 1
Mixed
Stella Laurenzo (stellaraccident), software engineer (employer unnamed in the issue)
Reports from months of mined Claude Code logs on IREE projects using Opus that complex engineering quality degraded from February, forcing a shutdown of the concurrent agent fleet for single-session work. Says Claude has been good to them and hopes Anthropic can address it.
Published Apr 2, 2026self-described: Compiler/GPU projects; the issue's first version says every senior engineer on the author's team reported similar experiences
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes, Reliability
6Enterprise Administration4 of 5 sources on it praise itAdmin controls for running Claude Code across a company, from who gets access and through which provider to hooks that enforce team rules.
Describes how Elastic's InfoSec team monitors Claude Code, in active use across Elastic engineering, by exporting its OpenTelemetry events into Elastic, with telemetry set through managed settings deployed by IT that users cannot override. Notes telemetry is opt-in and redacts prompts and tool arguments by default.
"Claude Code supports managed settings that are deployed by IT and cannot be overridden by users."
Excerpt, Spencer Niemi
Published Apr 25, 2026self-described: Elastic engineering organization; the InfoSec team monitors agent use with OpenTelemetry
Practitioner account, self-described; ran the rollout; counts toward Operational control
Positive
Stephan Lensky, senior engineer on the AI Developer Experience team at HubSpot
HubSpot built its cloud agent platform on Claude Code, which it already knew worked well for its engineers, and in six months merged over 7,000 fully AI-generated pull requests and reviewed over 50,000 human ones, using hooks to enforce the behavior it wants.
"…we used an existing platform, Claude Code, which we already knew worked well for our engineers…"
Excerpt, Stephan Lensky
"To date, we have merged over 7,000 fully AI-generated pull requests and code reviewed over 50,000 pull requests authored by humans."
Same speaker
Published Jan 23, 2026HubSpot engineering, self-hosted cloud agent platform (Crucible) on Kubernetes
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control
Intercom turned Claude Code into an internal platform: 13 plugins, 100+ skills, hook-enforced PR workflow, guarded read-only production console, OpenTelemetry observability and auto-updated CLAUDE.md files.
Published Mar 19, 2026self-described: Intercom, company-wide Claude Code platform (engineering, data, support, product)
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Operational control, Adoption and upkeep
Positive
Shrivu Shankar, leads AI developer tooling at Abnormal AI
Describes how Abnormal AI uses Claude Code on its monorepo: a strictly maintained 13KB CLAUDE.md, clear-and-document restarts over auto-compaction, a hook that blocks commits until tests pass, and enterprise API keys for usage-based pricing.
Published Nov 2, 2025self-described: Abnormal AI engineering, shared monorepo
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Rolled Cowork out to all non-technical staff at work and calls Cowork/Claude Desktop frustrating, with no native audit log and all-or-nothing access for Claude Code and for some MCP connections such as QuickBooks Online. Wants governance features and per-member RBAC.
Published Jun 23, 2026self-described: Company that rolled Claude Cowork out to all non-technical staff on Microsoft Teams
Practitioner account, pseudonymous; ran the rollout; not counted, repeats a stronger account
As sole staff engineer reviewing PRs from three offshore developers using Claude Code, throwatdem12311 says review has become impossible to keep up with and delivery has slowed.
Published Jul 26, 2026self-described: Small company, half-million-line codebase, reviewing PRs from 3 offshore developers
Practitioner account, pseudonymous; second-hand; not counted, repeats a stronger account
On a Godot mobile app their team estimates 3x speed and 3x more pull requests with about 20% more regressions. They dropped review below a file-size threshold and grew CI tests about 500%.
Published Jul 1, 2026self-described: Team building a Godot mobile app, with shared Claude skills for writing and auditing pull requests
Practitioner account, pseudonymous; ran the rollout; not counted, repeats a stronger account
Positive
Ahmad El-Shafey, Senior Engineering Manager at Slack
A Slack engineering manager used Claude Code to turn one doc fix into systematic cleanup and tooling, but found rules drift on bigger tasks, review stays essential, and over-engineering gets easy.
Published May 13, 2026self-described: Slack, their engineering team's repo during Focus Week
Practitioner account; direct use; counts toward Delivered outcomes
thoughtbot built production-quality Rails code for a client in a two-week sprint with Claude Code by giving it very small tasks, keeping a CLAUDE.md and reviewing every change before a human commit; sometimes it wrote tests that checked only the fake objects they set up.
"During a two-week sprint with a startup, we ended the intense engagement with true production-quality code…"
Excerpt, Chad Pytel
"Allowing Claude Code to make commits relinquishes this critical quality control step."
Same speaker
Published Feb 9, 2026thoughtbot consultancy team building a client Rails app
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes
Expo's web team says Claude Code performs best on well-specified repository work, while context quality deteriorates as it accumulates and the agent still needs explicit reminders and human review.
Published Feb 6, 2026self-described: Expo web team and company-wide Claude Code users
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability
Ronacher reports more than 90% AI-written code in a 40,000-line Go service at his new company. Claude Code is his tool for debugging that needs heavy tool access, such as a deadlock or corrupted data, and he still reviews every line.
"Claude is indispensable still when debugging and needing a lot of tool access (eg: why do I have a deadlock, why is there corrupted data in the database etc.)."
Excerpt, Armin Ronacher
Published Sep 29, 2025self-described: New company; a 40,000-line Go email service with generated Python and TypeScript SDKs
Practitioner account, self-described; direct use; counts toward Delivered outcomes
Positive
Jonathan Pedoeem, Technical founder of PromptLayer
PromptLayer's founder says Claude Code let the team clear its backlog under a 'build it if under an hour' rule, while warning reviews remain essential because it makes characteristic mistakes.
Published Sep 3, 2025self-described: PromptLayer, startup engineering team
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes
A Sanity engineer treats Claude Code like a junior developer with amnesia: three attempts per feature, Claude.md context, layered review, 2-3x faster shipping at roughly US$1000-1500 per month.
Published Sep 2, 2025self-described: Sanity, engineering team (internal workshop write-up)
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Cost predictability and limits, Adoption and upkeep
Mixed
Peter Silberman, Chief Technology Officer at Fixify
Tried to have Claude Code zero-shot whole Fixify integrations, first through CLAUDE.md, then with specialized sub-agents that hallucinated permissions and API routes until an agent distilling vendor docs into a reference file cut that dramatically. Says full autonomy is probably not coming without human oversight.
"Unsurprisingly, Claude and its sub-agents hallucinated, permissions that didn’t exist, API routes that weren’t real."
Excerpt, Peter Silberman
"Will we ever ship a fully autonomous integration? Probably not without human oversight."
Same speaker
Published Aug 20, 2025Fixify, IT operations company with its own integration SDK
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Adoption and upkeep
Graphite engineers found Claude Code's large refactor diffs unreviewable, even edited tests, so many used it only for point fixes until CLAUDE.md stacking instructions produced small reviewable PRs.
Published Jul 24, 2025self-described: Graphite engineering team, monorepo
Practitioner account, self-described; direct use; counts toward Delivered outcomes
Describes how Julep ships production code daily with Claude under a CLAUDE.md that tells the agent never to modify tests, change API contracts or alter migration files. Humans write the tests, and AI-assisted commits are tagged so reviewers pay extra attention.
"Next, I’ll walk you through the infrastructure we use at Julep to ship production code daily with Claude’s help."
Excerpt, Diwank Singh
Published Jun 7, 2025self-described: Julep, AI workflow orchestration; a backend with years of accumulated decisions
Practitioner account; direct use; counts toward Delivered outcomes, Adoption and upkeep
Rolling out Cursor and Claude Code to about 40 developers, Tanda's co-founder finds Claude Code great at refactors but subtly wrong on bug fixes, estimating roughly 20% productivity gains.
Published Apr 29, 2025self-described: Tanda, about 40 developers, 12-year-old Ruby on Rails SaaS codebase
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Cost predictability and limits
With a subject expert, Claude Code added Python support to Thoughtworks' CodeConcise in half a day, against two to four weeks for a developer pair. Three JavaScript attempts failed: the grammar would not work, then it used libraries that did not exist, then internal packages that did not exist. The author says the agent lacks stronger verification.
Published Mar 10, 2025self-described: Thoughtworks team building the CodeConcise legacy-modernization tool
As tech lead of a team vibe coding with Claude, reviewed merge requests of at least 800 lines, multiple per day per person; says understanding the code took 2 hours. Quit to start a company and is slowly reeling back to coding by hand, which they prefer.
Published Aug 23, 2026self-described: Tech lead of a team measured by merge-request count and given fixed deadlines
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
After months of daily use, Marmelab asks Claude Code for one step at a time and reviews each before the next, because asking for a whole feature sends it off the rails. Lessons from each session go into CLAUDE.md, rules and skills.
"If you say “implement the whole feature,” Claude will go off the rails. Instead, ask for step one, review it, and only then ask for step two."
Excerpt, Caroline Schneider
Published Apr 24, 2026self-described: Marmelab, software agency; client projects and its react-admin and Atomic CRM open source frameworks
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability
Salesforce uses Claude Code as a command-line tool for automation and scripting beside Cursor and Windsurf, and reports code in production up 30%, which put pressure on review and deployment.
"AI accelerated development speed, increasing code in production by 30%. This surge created significant pressure on downstream processes."
Excerpt, Darryn Dieken
Published Dec 16, 2025self-described: Salesforce engineering
Red Eagle Tech describes Claude Code reading existing workflows, tracing repository conventions, generating a complete CI/CD pipeline, and reaching a reviewed pull request in about 25 minutes. Manual work took about three hours, and the account still calls for review.
Published Feb 21, 2026self-described: Red Eagle Tech engineering team building bespoke software and an e-commerce SaaS platform
Practitioner account; ran the rollout; counts toward Delivered outcomes
Reports great success with a short CLAUDE.md, skills, design and plan sessions before building, high test coverage, and Claude Code review plus human PR review for faster velocity.
Published Oct 3, 2026self-described: Team using Claude Code in the terminal, with pull request review
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
jaegerpicker's team reports 5x output with fewer quality issues by having Claude research each ticket into acceptance criteria that humans validate, then requiring local testing, integration tests, and 90% coverage.
Published Aug 12, 2026self-described: Engineer with 25 years of experience; their team plans, codes, and verifies tickets with Claude
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes
Positive
Alexey Milovidov, Co-Founder and Chief Technology Officer at ClickHouse
ClickHouse's chief technology officer says agents became fully usable for daily work on its large C++ codebase from Opus 4.5, and the company mostly runs Claude Code in the terminal with Codex as a backup; he finds Claude Code slow at times, with bugs and glitches, and says agent output still needs review.
"Since Opus 4.5, agents have been fully usable for daily work on large C++ code bases."
Excerpt, Alexey Milovidov
"Claude Code is a very powerful tool, but it can be slow, and it has bugs and glitches. I still recommend using it over integrated agents."
Same speaker
"For CLI agents, we use mostly Claude Code with Opus 4.6, but some people prefer Codex CLI with Codex 5.4."
Same speaker
Published Jul 14, 2026ClickHouse engineering, large C++ codebase, company-wide agent use
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Intercom turned Claude Code into an internal platform: 13 plugins, 100+ skills, hook-enforced PR workflow, guarded read-only production console, OpenTelemetry observability and auto-updated CLAUDE.md files.
Published Mar 19, 2026self-described: Intercom, company-wide Claude Code platform (engineering, data, support, product)
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Operational control, Adoption and upkeep
Positive
Charles Herring, co-founder and chairman of WitFoo
Brought WitFoo's decade-old production platform into Claude Code work by first having it document the code into CLAUDE.md, then writing a WITFOO_WAY.md standards file and cleaning up debt before a rebuild. Says without a standards document each Claude session makes slightly different decisions.
"Without a clear standards document, each Claude session makes slightly different decisions."
Excerpt, Charles Herring
Published Feb 10, 2026self-described: WitFoo, cybersecurity platform; a decade of production code moving to a rebuilt product
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Reliability
HumanLayer's founder describes a research, plan, implement workflow built around Claude Code's context window that took the three-person team to two to three times throughput on complex brownfield codebases.
"…minute, but like the point is you're constantly st keeping your context window small. You're building your entire workflow around context management. So comes in three phases. research, plan, implement. Um, and we're going to try to stay in the smart zone…"
2Inconsistent Results on Large Tasks6 of 7 sources on it raise it as a concernVariation in quality on large or ambiguous tasks, or across runs and releases.
Counted for Engineering leaders and teams.
Raised as a concern, 6
Mixed
Stella Laurenzo (stellaraccident), software engineer (employer unnamed in the issue)
Reports from months of mined Claude Code logs on IREE projects using Opus that complex engineering quality degraded from February, forcing a shutdown of the concurrent agent fleet for single-session work. Says Claude has been good to them and hopes Anthropic can address it.
Published Apr 2, 2026self-described: Compiler/GPU projects; the issue's first version says every senior engineer on the author's team reported similar experiences
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes, Reliability
Mixed
Shodhan Sheth, Enterprise Modernization, Platforms & Cloud Lead at Thoughtworks
Says, from 18 months of AI-assisted legacy modernization at Thoughtworks, that Claude Code is one of the best coding agents so far, exceptional on time and cost but weaker on correctness and drift, and that agents cannot yet reliably ingest tens of millions of lines at once.
"In terms of Claude Code, it’s exceptional when it comes to time and cost. What it’s not as strong as, though, are the bottom two issues…"
Excerpt, Shodhan Sheth
Published Mar 2, 2026Thoughtworks UK legacy modernization practice, 18 months of AI-assisted mainframe work, with Alessio Ferri
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Reliability
With a subject expert, Claude Code added Python support to Thoughtworks' CodeConcise in half a day, against two to four weeks for a developer pair. Three JavaScript attempts failed: the grammar would not work, then it used libraries that did not exist, then internal packages that did not exist. The author says the agent lacks stronger verification.
Published Mar 10, 2025self-described: Thoughtworks team building the CodeConcise legacy-modernization tool
A Slack engineering manager used Claude Code to turn one doc fix into systematic cleanup and tooling, but found rules drift on bigger tasks, review stays essential, and over-engineering gets easy.
Published May 13, 2026self-described: Slack, their engineering team's repo during Focus Week
Practitioner account; direct use; counts toward Delivered outcomes
A Sanity engineer treats Claude Code like a junior developer with amnesia: three attempts per feature, Claude.md context, layered review, 2-3x faster shipping at roughly US$1000-1500 per month.
Published Sep 2, 2025self-described: Sanity, engineering team (internal workshop write-up)
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Cost predictability and limits, Adoption and upkeep
Rolling out Cursor and Claude Code to about 40 developers, Tanda's co-founder finds Claude Code great at refactors but subtly wrong on bug fixes, estimating roughly 20% productivity gains.
Published Apr 29, 2025self-described: Tanda, about 40 developers, 12-year-old Ruby on Rails SaaS codebase
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Cost predictability and limits
incident.io engineers run several Claude Code agents in parallel via Git worktrees and plan mode; one US$8 session delivered an 18% faster API generation step, though architecture stays human-led.
Published Jun 27, 2025self-described: incident.io, product engineering team
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Operational control
3Context Management6 of 12 sources on it raise it as a concernKeeping the right information available to the agent across long sessions and large repositories.
Counted for Engineering leaders and teams.
Raised as a concern, 6
Mixed
Shodhan Sheth, Enterprise Modernization, Platforms & Cloud Lead at Thoughtworks
Says, from 18 months of AI-assisted legacy modernization at Thoughtworks, that Claude Code is one of the best coding agents so far, exceptional on time and cost but weaker on correctness and drift, and that agents cannot yet reliably ingest tens of millions of lines at once.
"In terms of Claude Code, it’s exceptional when it comes to time and cost. What it’s not as strong as, though, are the bottom two issues…"
Excerpt, Shodhan Sheth
Published Mar 2, 2026Thoughtworks UK legacy modernization practice, 18 months of AI-assisted mainframe work, with Alessio Ferri
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Reliability
Expo's web team says Claude Code performs best on well-specified repository work, while context quality deteriorates as it accumulates and the agent still needs explicit reminders and human review.
Published Feb 6, 2026self-described: Expo web team and company-wide Claude Code users
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability
HumanLayer's founder describes a research, plan, implement workflow built around Claude Code's context window that took the three-person team to two to three times throughput on complex brownfield codebases.
"…minute, but like the point is you're constantly st keeping your context window small. You're building your entire workflow around context management. So comes in three phases. research, plan, implement. Um, and we're going to try to stay in the smart zone…"
Describes how Abnormal AI uses Claude Code on its monorepo: a strictly maintained 13KB CLAUDE.md, clear-and-document restarts over auto-compaction, a hook that blocks commits until tests pass, and enterprise API keys for usage-based pricing.
Published Nov 2, 2025self-described: Abnormal AI engineering, shared monorepo
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
A Sanity engineer treats Claude Code like a junior developer with amnesia: three attempts per feature, Claude.md context, layered review, 2-3x faster shipping at roughly US$1000-1500 per month.
Published Sep 2, 2025self-described: Sanity, engineering team (internal workshop write-up)
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Cost predictability and limits, Adoption and upkeep
Rated four coding agents on a vibe-coded app and two large pre-AI repos. Claude Code averaged 6.8 of 10 against Cursor's 8, with 5 of 10 on context; calls it best for rapid prototypes and a productive terminal UX.
"Cursor leads on setup speed, Docker/Render deployment, and code quality, while Claude Code is best for rapid prototypes and a productive terminal UX."
Excerpt, Mitch Alderson
Published Aug 12, 2025self-described: Render engineering; timed tests on its own production codebases and a new Next.js app
Shares, as an engineering director at Fin.ai, what engineers reported: some of the most experienced accelerate faster than earlier-career peers, and those getting the most from Claude plan over many turns and invest in claude.md as evolving instructions. Says many keep their anxiety to themselves.
Published Mar 25, 2026self-described: Intercom engineering organization
Practitioner account, self-described; second-hand; not counted until substantiated
Positive
cyan, iOS engineer on the Mercoin (MC) Client team
A Mercoin iOS engineer runs 22 Claude Code sessions across git worktrees with phase-specific slash commands to ship about 140 design-system migration PRs, plus dedicated sessions reviewing teammates' PRs.
Published Jun 22, 2026self-described: Mercari / Mercoin client team, design-system migration
Practitioner account; direct use; counts toward Delivered outcomes, Reliability
Mixed
Sergii Gorbachov, Staff Software Engineer at Slack
Ran more than 200 agentic end-to-end test runs at Slack through non-interactive Claude Code. Agent runs typically cost US$15 to 30 each and averaged about 5 to 11 minutes; says the cost may currently suit them better to debugging and exploratory testing than to high-frequency CI.
"Agent-driven runs were typically $15 to 30 per execution, compared to much cheaper traditional test runs."
Excerpt, Sergii Gorbachov
"Due to the cost, agent-driven testing may currently be better suited for targeted debugging or exploratory testing than for high-frequency CI execution…"
Same speaker
Published Jun 11, 2026Slack end-to-end testing, more than 200 agent runs in test workspaces
Practitioner account, name and role on their organization's own page; structured test; counts toward Delivered outcomes
After months of daily use, Marmelab asks Claude Code for one step at a time and reviews each before the next, because asking for a whole feature sends it off the rails. Lessons from each session go into CLAUDE.md, rules and skills.
"If you say “implement the whole feature,” Claude will go off the rails. Instead, ask for step one, review it, and only then ask for step two."
Excerpt, Caroline Schneider
Published Apr 24, 2026self-described: Marmelab, software agency; client projects and its react-admin and Atomic CRM open source frameworks
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability
A Spotify team rolled out 240 automated dataset migration PRs with its Claude Code based agent, work it estimated at about 10 engineering weeks by hand; it needed very detailed prompts, and it dropped one pipeline framework whose style varied too much between teams.
"We estimated that it would have taken around 10 engineering weeks of effort to complete these migrations manually."
Excerpt, Devon Edwards Joseph
"…we successfully rolled out 240 automated migration PRs using Fleetshift…"
Same speaker
Published Apr 22, 2026Spotify data team migrating downstream dataset consumers with Honk and Fleetshift
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes
thoughtbot built production-quality Rails code for a client in a two-week sprint with Claude Code by giving it very small tasks, keeping a CLAUDE.md and reviewing every change before a human commit; sometimes it wrote tests that checked only the fake objects they set up.
"During a two-week sprint with a startup, we ended the intense engagement with true production-quality code…"
Excerpt, Chad Pytel
"Allowing Claude Code to make commits relinquishes this critical quality control step."
Same speaker
Published Feb 9, 2026thoughtbot consultancy team building a client Rails app
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes
At a company thrifty with AI spend, had a US$100 a month spend while trying to be its AI leader. Sees that Claude Code can do a lot of heavy lifting at work, while most colleagues stuck cost-maxing cannot imagine hitting session limits; says there's a case the cost-maxing hurt the company.
Published Jun 28, 2026self-described: Company AI lead; most employees on US$20 monthly plans
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
Mixed
Sergii Gorbachov, Staff Software Engineer at Slack
Ran more than 200 agentic end-to-end test runs at Slack through non-interactive Claude Code. Agent runs typically cost US$15 to 30 each and averaged about 5 to 11 minutes; says the cost may currently suit them better to debugging and exploratory testing than to high-frequency CI.
"Agent-driven runs were typically $15 to 30 per execution, compared to much cheaper traditional test runs."
Excerpt, Sergii Gorbachov
"Due to the cost, agent-driven testing may currently be better suited for targeted debugging or exploratory testing than for high-frequency CI execution…"
Same speaker
Published Jun 11, 2026Slack end-to-end testing, more than 200 agent runs in test workspaces
Practitioner account, name and role on their organization's own page; structured test; counts toward Delivered outcomes
Mixed
Stella Laurenzo (stellaraccident), software engineer (employer unnamed in the issue)
Reports from months of mined Claude Code logs on IREE projects using Opus that complex engineering quality degraded from February, forcing a shutdown of the concurrent agent fleet for single-session work. Says Claude has been good to them and hopes Anthropic can address it.
Published Apr 2, 2026self-described: Compiler/GPU projects; the issue's first version says every senior engineer on the author's team reported similar experiences
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes, Reliability
Airtasker rolled Claude Code out across engineering via AWS Bedrock for data sovereignty, with managed settings, OpenTelemetry dashboards, and a custom spend tracker after CLI cost figures proved unreliable.
Published Nov 10, 2025self-described: Airtasker, engineering-wide rollout via AWS Bedrock
Practitioner account; ran the rollout; counts toward Delivered outcomes, Operational control, Cost predictability and limits, Adoption and upkeep
Five engineers who paid US$800 to US$1,000 a month together on Max and Pro plans paid about US$1,000 a day for the same work at API rates, Dastidar writes.
"After this, the bill was approximately $1000 per day for the same work. So in one fell swoop, the cost went up thirty times."
Excerpt, Arunabh Dastidar
Published Oct 12, 2026self-described: A team of five engineers on Max and Pro plans
jabart's team measured usage with cc-usage and found costs near the monthly license on a multi-million-line codebase, even with jabart running 3 to 4 sessions at once.
Published Jun 7, 2026self-described: Team on a Claude Team plan, working in a codebase of millions of lines
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
A Sanity engineer treats Claude Code like a junior developer with amnesia: three attempts per feature, Claude.md context, layered review, 2-3x faster shipping at roughly US$1000-1500 per month.
Published Sep 2, 2025self-described: Sanity, engineering team (internal workshop write-up)
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Cost predictability and limits, Adoption and upkeep
Positive
Shrivu Shankar, leads AI developer tooling at Abnormal AI
Describes how Abnormal AI uses Claude Code on its monorepo: a strictly maintained 13KB CLAUDE.md, clear-and-document restarts over auto-compaction, a hook that blocks commits until tests pass, and enterprise API keys for usage-based pricing.
Published Nov 2, 2025self-described: Abnormal AI engineering, shared monorepo
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Cleared what Orta Therox calls years of tech-debt backlog solo in six weeks with Claude Code while working on the existing roadmap. Credits monorepos and boring, explicit technologies, and finds the change hard to see in pull request, commit and line counts.
Published Jul 30, 2025self-described: Puzzmo, small engineering team, monorepos
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits
incident.io engineers run several Claude Code agents in parallel via Git worktrees and plan mode; one US$8 session delivered an 18% faster API generation step, though architecture stays human-led.
Published Jun 27, 2025self-described: incident.io, product engineering team
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Operational control
Rolling out Cursor and Claude Code to about 40 developers, Tanda's co-founder finds Claude Code great at refactors but subtly wrong on bug fixes, estimating roughly 20% productivity gains.
Published Apr 29, 2025self-described: Tanda, about 40 developers, 12-year-old Ruby on Rails SaaS codebase
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Cost predictability and limits
GILD's fact checks, which don't count as sources
Checked Oct 12, 2026.Spending controls depend on the plan and billing route. Team and Enterprise admins can set spend limits for the organization, a group, or a member. Console workspaces have spend limits. A report of unexpected spend does not establish that spending controls are missing. Manage costs effectively
Testing sandbox setups, Williams found that Claude Code's sandboxed Bash tool passes environment variables to the sandboxed process by default and can read the entire computer it runs on.
"Claude Code’s sandboxed Bash terminal tool by default exposes environment variables to the sandboxed process, and has read access to the entire computer it’s running on."
Rolled Cowork out to all non-technical staff at work and calls Cowork/Claude Desktop frustrating, with no native audit log and all-or-nothing access for Claude Code and for some MCP connections such as QuickBooks Online. Wants governance features and per-member RBAC.
Published Jun 23, 2026self-described: Company that rolled Claude Cowork out to all non-technical staff on Microsoft Teams
Practitioner account, pseudonymous; ran the rollout; not counted, repeats a stronger account
Says Trail of Bits got everyone on Claude Code with supported configs, default sandboxing and a curated plugin marketplace. For certain clients where codebase and scope allow, auditors running fleets of agents went from about 15 bugs a week to 200.
"We got everyone on Claude Code, and we treat it like any other enterprise tool…"
Excerpt, Dan Guido
"…we went from finding about 15 bugs a week to 200…"
Same speaker
Published Mar 31, 2026Security consultancy; every employee on Claude Code with shared configs and sandboxes
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Operational control, Adoption and upkeep
Intercom turned Claude Code into an internal platform: 13 plugins, 100+ skills, hook-enforced PR workflow, guarded read-only production console, OpenTelemetry observability and auto-updated CLAUDE.md files.
Published Mar 19, 2026self-described: Intercom, company-wide Claude Code platform (engineering, data, support, product)
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Operational control, Adoption and upkeep
Positive
Max Charas and Marc Bruggmann, Senior Staff and Principal Engineers at Spotify
Spotify moved its background migration agent to Claude Code after open source and homegrown agents struggled, finding end-state prompts, few tools and a verify tool give mergeable PRs.
Published Nov 24, 2025self-described: Spotify, fleet-wide background coding agent for migrations
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Operational control
Airtasker rolled Claude Code out across engineering via AWS Bedrock for data sovereignty, with managed settings, OpenTelemetry dashboards, and a custom spend tracker after CLI cost figures proved unreliable.
Published Nov 10, 2025self-described: Airtasker, engineering-wide rollout via AWS Bedrock
Practitioner account; ran the rollout; counts toward Delivered outcomes, Operational control, Cost predictability and limits, Adoption and upkeep
Positive
Shrivu Shankar, leads AI developer tooling at Abnormal AI
Describes how Abnormal AI uses Claude Code on its monorepo: a strictly maintained 13KB CLAUDE.md, clear-and-document restarts over auto-compaction, a hook that blocks commits until tests pass, and enterprise API keys for usage-based pricing.
Published Nov 2, 2025self-described: Abnormal AI engineering, shared monorepo
Practitioner account, self-described; ran the rollout; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Cleared what Orta Therox calls years of tech-debt backlog solo in six weeks with Claude Code while working on the existing roadmap. Credits monorepos and boring, explicit technologies, and finds the change hard to see in pull request, commit and line counts.
Published Jul 30, 2025self-described: Puzzmo, small engineering team, monorepos
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits
After a year as a Cursor power user, Sewell moved his agent work to Claude Code, the only agent that has successfully updated an 18,000-line React component at Builder.io. He runs it with permission prompts skipped and calls the US$100 Max plan worth it.
"No AI agent has ever successfully updated this file except Claude Code."
Excerpt, Steve Sewell
Published Jul 11, 2025self-described: Builder.io, large React codebase; a Cursor power user for a year before the switch
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Cost predictability and limits, Adoption and upkeep
incident.io engineers run several Claude Code agents in parallel via Git worktrees and plan mode; one US$8 session delivered an 18% faster API generation step, though architecture stays human-led.
Published Jun 27, 2025self-described: incident.io, product engineering team
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Operational control
GILD's fact checks, which don't count as sources
Checked Oct 12, 2026.The operating-system sandbox for shell commands is off by default. Managed settings can disable the bypass and auto permission modes for an organization. Configure the sandboxed Bash tool
Close to agreement: each needs 14 supporting sources
Below threshold
The strongest reported workflows involve well-scoped repository tasks where Claude Code can inspect existing code, make the change, run tests, and iterate.
Questions the sources split on, with the count on each side.
Evidence remains mixed
How much implementation work should Claude Code complete before a human checkpoint?
99
Broader delegation, 9 sources
Some give the agent substantial scope, or run several sessions in parallel, once the objective and acceptance checks are explicit.
Tighter steering, 9 sources
Others review a plan first and work in small steps, so incorrect assumptions do not spread through larger changes.
Evidence remains mixed
Once review and rework are counted, does Claude Code reduce total engineering time?
72
Net time saved, 7 sources
Some report a clear gain after review, from doubled pull request throughput to hours saved a day.
Absorbed by review, 2 sources
Others find review, supervision, and cleanup absorb the time saved, or make the work slower than doing it by hand.
The evidence
Whose experience this is
The three groups, then every practitioner by the context they work in, and how emphasis changes with scale.
Three groups drawn from the same sources. Choose a group to select whose experience counts. Within that group, each author counts once in the practitioner sentiment, with their latest view. Signals open on Engineering leaders and teams.
Engineering leaders and teams
68 sources. These accounts focus on review capacity, team conventions, governance, cost visibility, delegation boundaries, and what changes when Claude Code moves from individual use into an engineering operating model.
Individual builders
70 sources. These accounts focus on raw capability, speed, experimentation, and how Claude Code performs in self-directed development workflows.
All practitioners
138 sources. This is the broadest read. It mixes settings, from solo work to company rollouts, that can lead to different conclusions.
138 sources from practitioners, by the context they work in. Filled rows count for this group.
Individual practitionerSolo developers and independent builders70 sources
Emphasizes Personal speed, usage limits, and context loss
Very small team2 to 10 engineers15 sources, counted here
Emphasizes Shipping velocity and how much to delegate
Professional team11 to 50 engineers, or a named company's team22 sources, counted here
Emphasizes Review load and shared repository conventions
Technical leadershipLeaders setting adoption across teams13 sources, counted here
Emphasizes Where to delegate and how to measure it
Organization-wideEnterprise or company-wide rollout18 sources, counted here
Emphasizes Platform tooling, managed settings, and telemetry
What changes with scale. Individual builders emphasize personal speed and, increasingly, usage limits and cost. Team and organization accounts shift toward shared conventions, review load, managed settings, and telemetry.
Where the sources come from
Where this group's sources were published.
Counted for Engineering leaders and teams, from 68 sources. Change group
90 sources for this group, 22 of them documentation
Engineering Blogs & Reviews45, 50% of 90 sources
Product Documentation22, 24% of 90 sources
Developer Communities13, 14% of 90 sources
Podcasts, Talks & Videos10, 11% of 90 sources
Older evidence is retained when it still applies. Sources that depend on a changed plan, limit, or model stay in the history, marked Needs a recheck.
Nov 1, 2026: the Oct 28 and Oct 30 entries were each figured without the other's changes, the record changes on the weighted second view and one vote per author on the records before them. By the owner's decision, a record whose own words state no overall view of Claude Code now casts no vote; it still counts toward its topics and is listed, and 17 records that counted leave the vote this way. Read together, leaders and teams move from +69 to +75, individual builders from +11 to +17 and all practitioners from +38 to +45.
Oct 30, 2026: each author now counts once, with their latest view, by the owner's decision; the older weighted reading stays as a second view under Method. Leaders and teams move from +71 to +69, individual builders from +16 to +11 and all practitioners from +48 to +38.
Oct 30, 2026: a second-model check moved Superhuman's talk to the partner list, since Anthropic offered the team its early Claude Code beta, so it counts toward no figure; leaders and teams move from +72 to +71. Every's account no longer dates its staff's move to Codex, Prime Intellect's race no longer credits Codex with beating the human record, and Stripe's engineer counts as a team account. Docker's podcast record leaves, since the episode transcript prints no publication day; the nets hold. Indeed's comparison accounts date DX's talk to June 2026, since DX's page prints no day.
Oct 30, 2026: Michael Redding's DX episode now carries the identity GILD checked for him on the Cursor, GitHub Copilot and Devin Desktop hubs, so it counts with the weight those records carry. Leaders and teams move from +71 to +72.
Oct 28, 2026: added 22 records from GILD's research ledger and Reddit: 12 podcasts and talks with timed quotes, from DHH, Docker, Superhuman, Applied Intuition, Shopify, Indeed and others, 6 engineering and practitioner write-ups, a GitHub issue and 3 Reddit posts, and quoted the XDA Developers account already listed. Four state no view of Claude Code overall, and GILD has not checked the three Reddit authors' ties to Anthropic, so those seven count toward no figure. Leaders and teams reach 64 counted sources from 62 authors and stay at +71, individual builders move from +16 to +19 on 65 sources, and all practitioners move from +48 to +50 on 129.
Oct 28, 2026: lists the Salesforce engineering post by Srinivas Tallapragada without counting it, because Salesforce is an Anthropic investor and strategic partner. Leaders and teams move from +72 to +71 and all practitioners from +49 to +48; individual builders stay at +16.
Uses public sources only: every source links to the page it comes from and names its author and publication date.
Applies the minimum evidence rule set out under Method.
Removes the Debugging theme and a statement on persistent concerns, because each had fewer than 5 sources from 3 authors.
Rechecks every documentation page against Anthropic's current docs.
Oct 21, 2026: added 17 Hacker News accounts. Four state a leadership role or a company-wide rollout and joined leaders and teams, taking it from 26 to 30 sources, from 29 authors, and its overall signal from +69 to +63. The other 13 state no headcount, organization or role and count as individual builders.
Oct 25, 2026: added two independent team accounts, from Expo and Red Eagle Tech, so leaders and teams have 32 sources from 31 authors, still at +63. Two findings for leaders and teams then had fewer than 5 sources from 3 authors. Faster on self-directed work had 4 supporting sources from 4 authors. Multi-Step Execution had 3 of 4 positive, 1 critical. A later entry below brings both above it.
Oct 25, 2026: added six themes from what existing accounts state. Value for Money: 6 say the plan is worth it and 5 say it is not. Needs Close Steering: 3 report supervising a run to keep it on track, and 2 hand it work without that concern. Enterprise Administration: 3 praise the controls and 3 find them lacking. Day-to-Day Friction: 5 report friction in daily use and 1 finds none. Stability: 1 praises it and 4 report freezes, breakage or outages. Reliability: 4 report freezes, service problems or breaking changes, and 1 finds it less buggy than Codex.
Oct 25, 2026: the weighting then counted accounts GILD matched to a named person three times when GILD listed the author as a technical leader and twice otherwise. Alex Ghiculescu, Charles Herring and eight accounts added since counted three times here, and 15 other matched accounts counted twice. On that record, leaders and teams moved from +71 to +72, individual builders from +13 to +16, and all practitioners from +41 to +49. The headline now counts one vote per author, and this weighted reading shows as a second view under Method.
Oct 25, 2026: added 25 sources from outside Hacker News and Reddit. They include engineering blogs from Spotify, Elastic, Marmelab and Scott Logic, and named practitioners' blogs. The rest are independent benchmarks from Render and AIMultiple, a security test of Auto Mode, six GitHub issues and two X posts. Hacker News falls from 54% to 41% of 105 sources. Leaders and teams move to 43 sources from 42 authors and from +62 to +69. Individual builders reach 62 sources and gain six points from +9, and all practitioners move from +32 to +39. In leaders and teams, Faster on self-directed work now has 6 supporting accounts from 6 authors and Multi-Step Execution has 5 (4 positive, 1 critical), so both clear the minimum. Debugging has three accounts, from Filippo Valsorda, antirez and Armin Ronacher, and stays out until it reaches five.
Method
A running review of what engineering teams report about Claude Code, from individual builders to company-wide rollouts. Each finding links to its sources, and each conflict shows both sides.
Counts cover only the sources GILD reviewed.
Who counts
Engineering leaders and teams
Very small team, Professional team, Technical leadership, Organization-wide
Individual builders
Individual practitioner
All practitioners
Everyone in the leaders and teams and individual builders groups
Choose a group to select whose experience counts. Within that group, each author counts once in the practitioner sentiment, with their latest view. GILD files each source in a group from how the account describes its author. A role or employer marked self-described is what the source states about themselves. Documentation checks facts for every group and never counts toward sentiment.
How the numbers work
Overall signal. Positive votes minus negative ones, per 100 votes from the sources that take a side. Each author counts once, with their latest view, whoever they are and wherever they posted. The older weighted reading, where accounts GILD matched to a named person count three times when GILD lists the author among engineering leaders and twice otherwise, is shown beside it as a second view. Where an author wrote more than one source, the line beside the split gives the votes, one per author, so the score follows from it. When one author's sources from the same day disagree, that author counts as mixed, and a half point rounds away from zero. On the AI coding agent hubs, each account's overall stance comes from GILD's blind coding: two models from different families read the source's own words without seeing each other's codes, and a third settled where they differed. An account that states no overall view there, such as a bug report, casts no vote and still counts toward its topics. Other hubs count the stance stored on each record. Sources with no opinion are listed and not counted. Strong positive is +50 or higher, positive +20 to +49, mixed −19 to +19, negative −20 to −49, strong negative −50 or lower.
Weighted reading, second view. Counted the older way, where an account GILD matched to a named person counts two or three times, leaders and teams read +71 strong positive (method sentiment/S1). GILD printed that number as "GILD score" until October 29, 2026; most of those matches rest on a name or a self-described role.
Method change, Oct 30, 2026. GILD changed how practitioner sentiment counts, to one vote per author. Weighted, it read +71 Strong positive; with one vote per author it read +69 Strong positive. No evidence changed.
Correction, Nov 1, 2026. GILD now takes each account's overall stance from its blind two-model coding, and accounts that state no overall view cast no vote. It read +70 Strong positive and now reads +75 Strong positive.
Unscored. A group gets a score only with 20 sources from 15 authors. Below that, one source moves the score about 5 points, so the read says "Unscored until 20 sources from 15 authors" and shows its counts.
Independence. A source whose author works for the vendor, for one of its partners or programs, or for a competitor, and a page the vendor published or ran, is listed with that tie and counts toward nothing. One author counts on at most two records per product. The line under the score says how many authors and how many separate discussions the counted sources come from: comments in one thread are one discussion.
Praise and concerns. How many of the sources that discuss a theme praise it or raise it.
Consensus. A statement joins when 20% of the group's sources support it and fewer contradict it. Contradicting sources are counted separately. Below that line a statement shows as building. At 40% or more it reads Strong agreement; below, Recurring point.
Disagreements. The count on each side. GILD names no winner and gives no share of all users.
Minimum evidence. A finding needs 5 sources from 3 authors; a disagreement also needs 2 on each side. Smaller counts stay in the table below, marked under the minimum.
Labels on a source
A source's date and whether it still applies are separate: a recent post can describe an old version, and an old one can still hold.
Documented
Stated in official documentation.
Reported
A practitioner's account of their own use.
Measured
Backed by the source's own measurements, such as a comparative test or tracked team metrics.
GILD analysis
GILD's check of a claim against official documentation.
Current
Describes the product as it is now.
Still applicable
Older, and the behavior or lesson still holds.
Needs a recheck
May depend on a plan, version or setting that changed since it was written. It keeps counting until GILD rechecks it, since the rest of the account usually holds, and its card says so.
Out of date
No longer accurate. Kept in the record; counts toward nothing current.
Flagged for a recheck, of the sources that take a side: leaders and teams 3 of 53, individual builders 12 of 57, all practitioners 15 of 110.
Limits
These figures count English-language public accounts of several kinds. They are Hacker News comments, Reddit posts, GitHub issues on Anthropic's repository, company engineering blogs, named practitioners' blogs, recorded talks and podcasts, independent benchmarks and security tests, and X posts by named practitioners. They describe the people who wrote publicly and do not represent all Claude Code users. A GitHub issue is a bug report, so it counts as mixed unless its author rejects Claude Code; all nine issues here count as mixed.
Sources record the plan, model, and product version inconsistently; each source shows what it states.
Every count, and the sources behind it
25 findings for 3 groups
Each row opens its sources for the group you are reading.
GILD's checks of claims against official documentation, kept apart from the source counts.
Usage / Cost. Spending controls depend on the plan and billing route. Team and Enterprise admins can set spend limits for the organization, a group, or a member. Console workspaces have spend limits. A report of unexpected spend does not establish that spending controls are missing. Manage costs effectively, checked Oct 12, 2026
Permissions & Safety. The operating-system sandbox for shell commands is off by default. Managed settings can disable the bypass and auto permission modes for an organization. Configure the sandboxed Bash tool, checked Oct 12, 2026