136 sources from practitioners, by month and sentiment.
Teams praise the code Codex writes in 7 of the 8 sources that discuss it, and the day-to-day experience in 8 of 14. Their cost complaints are surprise bills on team plans: credit use that spikes overnight past monthly caps, and overage billed above API rates. Quesma could not turn off fast mode for the whole organization.
Positive, mixed and negative sources
21102
The score counts them as 19 positive, 10 mixed and 2 negative votes, one per author. See How the numbers work.
As an engineering manager, says US$500 a month for 40 or more hours a week of Astra has made their team's jobs much easier, and calls the Codex App Server amazing.
Published Oct 13, 2026self-described: Engineering manager on an enterprise OpenAI plan
Practitioner account, pseudonymous; opinion; not counted, takes no position
Positive
Riley Collins, software developer at Atomic Object
With a broken wrist while moving to a project as its lone developer, relied on Codex dictation and appshots for several weeks to keep working. Dictation sometimes misheard words, and the developer expects to keep using it after healing.
"Over the past several weeks, I have found Codex tools for improving accessibility very useful…"
Excerpt, Riley Collins
Published Sep 8, 2026Atomic Object, sole developer on a client project while one arm was in a cast
Practitioner account, name and role on their organization's own page; direct use; counts toward Operational control
Positive
Claire Morrison and Katie Fifer, Technically Curious
Two long-time Claude Code users now favor Codex with GPT-5.5 for detailed work and long threads thanks to better compaction, while still preferring Claude for original design and writing.
Published May 27, 2026self-described: Two co-authors using Codex for personal coding projects and business work
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Positive
Dan Shipper, co-founder and CEO of Every, with staff writer Katie Parrott
Every's team found the Codex desktop app the first coding GUI that feels like progress; the CEO moved to a 50-50 split with Claude Code, though one GM prefers terminal handoffs.
Published Feb 2, 2026self-described: Every team Reach Test with its engineering lead and the general managers of Monologue and Cora
Practitioner account, self-described; direct use; not counted, takes no position
Positive
Nick Kilpatrick, software developer at Atomic Object
Set up Codex command rules, sandbox settings and a guard hook to allow routine Git and project file edits, block recursive deletion and .env access, and review pushes; then logged approval requests via Codex hooks to propose allowlist rules he reviews and tests first.
"I implemented a similar model for Codex using its command rules, sandbox configuration, and a guard hook."
Excerpt, Nick Kilpatrick
Published Oct 1, 2026Atomic Object consultant on a mobile app project with simulator testing
Practitioner account, name and role on their organization's own page; direct use; counts toward Operational control
Two Every staff who had switched to Codex in recent months were reconsidering after Opus 5.5; one still prefers the Codex harness, and the CEO still uses Codex for about 80% of his work.
"I prefer the Codex harness, but I’d rather have a worse harness if I can work with a better model."
Excerpt, Mike Taylor, Every
Published Sep 22, 2026self-described: Every staff across evals, design and leadership
Quesma put Codex on OpenAI Business seats and one typical PR burned the US$270 overflow within a day; seat plans are far cheaper than tokens, but fast mode cannot be disabled org-wide.
"On the downside, it is super easy to land in fast mode. I accidentally confirmed it and ran the first half of this change at double rates: $110 of the $283 above was the fast-mode premium. Even worse, it is impossible to disable fast mode across an entire OpenAI Business organization, while Claude requires organizational approval before anyone can turn it on."
Excerpt, Jacek Migdal
Published Aug 28, 2026self-described: Quesma, company on OpenAI Business ChatGPT & Codex seats; teammates on ChatGPT Pro 20x
Builder.io's CEO prefers Codex mainly for its GitHub app, whose auto reviews find real bugs where Claude Code's GitHub reviews disappointed their dev team, plus pricing and limits.
Published Sep 28, 2025self-described: Builder.io dev team; Codex also built into Builder.io for designers and PMs
Vendor material, self-described; direct use; counts toward Delivered outcomes, Operational control, Cost predictability and limits
XING consolidated the whole company on ChatGPT Enterprise and Codex, and accepted trade-offs from token limits to missing IDE autocompletion to get there.
"Codex IDE is not supporting autocomp completion at all and interestingly the the whole test group looking at Codex before they didn't check this at all so because no one of us was using this so right you're using codeex CLI or…"
After testing Astra, the author is switching the company's primary AI provider for its communication and judgment over Claude, while saying Codex has the worse UX.
Published Sep 9, 2026self-described: Company evaluating a switch of its primary AI provider
Practitioner account, pseudonymous; direct use; not counted, takes no position
Mixed
jillesvangurp, developer at a company that helps small teams adopt agentic AI
A developer onboarding their non-developer CEO to Codex says it lets the CEO handle website and business tasks themselves, though it is painful because of git, repositories and permission friction.
Published May 14, 2026self-described: Small company; onboarding its non-developer CEO to Codex for website, inbox, sales and accounting work
Practitioner account, pseudonymous; ran the rollout; counts toward Operational control, Adoption and upkeep
Scored Codex CLI 5 out of 10 on Render's vibe-coding test after 4 follow-up error prompts, and says its UX felt "somewhat primitive" next to the tools tested before it; in an existing service repository its connection retry code was idiomatic, easy to read and correct first try.
"Codex performed admirably, but the UX felt somewhat primitive compared to the other tools tested so far…"
Excerpt, Mitch Alderson
Published Aug 12, 2025self-described: Render engineering, vibe-coding task and tasks in a production Go repository
Codex cut AGENTS.md at 32 KB, about 600 to 800 lines, without any warning, so instructions near the end never reached the model; Claude Code warns when CLAUDE.md is too large.
"Users assume Codex is unreliable or that AGENTS.md doesn't work properly, when in reality their instructions are being silently clipped."
Excerpt, Beehive Innovations
Published Mar 3, 2026self-described: App maker with a large AGENTS.md, Pro plan on macOS
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes
Every's CEO shipped a Cora feature through Codex within an hour; the team found it rough but useful, best for tech leads working on existing codebases and less suited to new apps.
Published May 16, 2025self-described: Every; tested with Kieran Klaassen, Cora general manager, on Cora's Rails codebase
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Operational control
Running Codex ten times on a detailed API brief, GPT-6 Sol at low effort passed all 178 acceptance tests in every run with or without a harness, and the harness made those runs about 7 times more expensive. GPT-6 Luna succeeded in three unharnessed runs and in every harnessed run, at 33% less per run than Sol.
"Using Codex with GPT-6 Sol at low reasoning effort, the agent produced an application that passed all 178 automated acceptance tests in each of the 10 runs, both with and without the harness."
Excerpt, Naresh Jain
Published Oct 13, 2026Ten-run experiment building an API service with Kafka events against contract tests
Practitioner account, name and role on an outside page; structured test; counts toward Delivered outcomes
Their team runs Codex in VS Code only on work they have agreed in an impact study and implementation plan with full regression tests. It is slow, and they report about 10 times the output with clean, consistent code.
Published Sep 30, 2026self-described: Three-person team on a large C# codebase, Codex in VS Code
Practitioner account, pseudonymous; direct use; counts toward Operational control
Positive
Claire Morrison and Katie Fifer, Technically Curious
Two long-time Claude Code users now favor Codex with GPT-5.5 for detailed work and long threads thanks to better compaction, while still preferring Claude for original design and writing.
Published May 27, 2026self-described: Two co-authors using Codex for personal coding projects and business work
Practitioner account, self-described; direct use; counts toward Delivered outcomes, Reliability, Operational control, Adoption and upkeep
Brex buys a few seats of several coding tools and lets engineers pick. Its CTO reports that engineers saw Codex as better at code generation but a little slower, and that fewer of them now switch, with some staying on Claude Code because they know it well.
"…when Codex came out and everybody was like, oh, Codex is better at CodeGen, but it’s a little bit slower."
Excerpt, James Reggio
Published Jan 17, 2026Brex engineering, where employees choose among several licensed coding tools
Practitioner account, name and role on an outside page; opinion; not counted, takes no position
A director had Codex investigate a bug their LLM-averse team had blamed on a vendor; Codex prepared a PR, and the team reviewed it and agreed it was a valid fix.
Published Dec 19, 2025self-described: Leads a team of direct reports; a bug the team had attributed to an external vendor
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
Scored Codex CLI 5 out of 10 on Render's vibe-coding test after 4 follow-up error prompts, and says its UX felt "somewhat primitive" next to the tools tested before it; in an existing service repository its connection retry code was idiomatic, easy to read and correct first try.
"Codex performed admirably, but the UX felt somewhat primitive compared to the other tools tested so far…"
Excerpt, Mitch Alderson
Published Aug 12, 2025self-described: Render engineering, vibe-coding task and tasks in a production Go repository
XING consolidated the whole company on ChatGPT Enterprise and Codex, and accepted trade-offs from token limits to missing IDE autocompletion to get there.
"Codex IDE is not supporting autocomp completion at all and interestingly the the whole test group looking at Codex before they didn't check this at all so because no one of us was using this so right you're using codeex CLI or…"
Quesma put Codex on OpenAI Business seats and one typical PR burned the US$270 overflow within a day; seat plans are far cheaper than tokens, but fast mode cannot be disabled org-wide.
"On the downside, it is super easy to land in fast mode. I accidentally confirmed it and ran the first half of this change at double rates: $110 of the $283 above was the fast-mode premium. Even worse, it is impossible to disable fast mode across an entire OpenAI Business organization, while Claude requires organizational approval before anyone can turn it on."
Excerpt, Jacek Migdal
Published Aug 28, 2026self-described: Quesma, company on OpenAI Business ChatGPT & Codex seats; teammates on ChatGPT Pro 20x
In an organization workspace, Codex twice consumed about 38,000 to 39,000 credits against monthly caps of 5,000 and 10,000, once overnight with no tasks running. The company issued an internal notice about abnormal credit use.
"This appears to be affecting multiple accounts within our organization. An internal company-wide notice has been issued regarding abnormal Codex credit consumption."
Excerpt, chang-kr
Published Aug 13, 2026self-described: Company workspace with organization-set monthly credit caps, VS Code extension
Practitioner account, pseudonymous; direct use; counts toward Operational control, Cost predictability and limits
GitButler's co-founder ported Git to Rust by running several coding agents for months. In /goal mode Codex kept working where Claude often stalled, though he found both goal modes slower than his own prompting loop, and his Codex subscription tokens ran out in the final days.
"Codex running in /goal mode seemed to keep working and getting stuff done."
Excerpt, Scott Chacon
Published Jun 9, 2026GitButler, months-long port of Git to a Rust library run through several coding agents
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Reliability, Cost predictability and limits
After a company rollout of ChatGPT with Codex, the author used it happily for two months until IT flagged 400 million tokens and a bill of at least a thousand euros.
Published May 17, 2026self-described: Employee at a company that rolled out ChatGPT with Codex
Practitioner account, pseudonymous; direct use; counts toward Cost predictability and limits
Jayson DeLancey writes that a lot of tool shuffling has been landing on Codex for Semgrep's engineering team, with engineers citing less babysitting on certain types of tasks, cheap retries and AGENTS.md. One engineer now does 90% of their work through Codex; one described burning 94% of a five-hour limit.
"One engineer on our team switched about six months ago, around the GPT-5.5 release, and now does 90% of their work through Codex."
Excerpt, Jayson DeLancey
Published Oct 6, 2026self-described: Semgrep's own engineering team; the post also announces Semgrep Guardian support for Codex
Vendor material; ran the rollout; counts toward Operational control, Adoption and upkeep
Running Codex ten times on a detailed API brief, GPT-6 Sol at low effort passed all 178 acceptance tests in every run with or without a harness, and the harness made those runs about 7 times more expensive. GPT-6 Luna succeeded in three unharnessed runs and in every harnessed run, at 33% less per run than Sol.
"Using Codex with GPT-6 Sol at low reasoning effort, the agent produced an application that passed all 178 automated acceptance tests in each of the 10 runs, both with and without the harness."
Excerpt, Naresh Jain
Published Oct 13, 2026Ten-run experiment building an API service with Kafka events against contract tests
Practitioner account, name and role on an outside page; structured test; counts toward Delivered outcomes
As an engineering manager, says US$500 a month for 40 or more hours a week of Astra has made their team's jobs much easier, and calls the Codex App Server amazing.
Published Oct 13, 2026self-described: Engineering manager on an enterprise OpenAI plan
Practitioner account, pseudonymous; opinion; not counted, takes no position
Mixed
Elie Bakouch, research engineer at Prime Intellect
In a multi-day research speedrun Codex never went idle and beat the human record, though it burned more tokens than Claude Code and invented no new optimizer.
"…and then I was just like okay continue explore new direction hey just go again for 10 hours and then say yeah I cannot beat the recall and so on. So basically onethird of the time the cloud code agent was idle…"
"So basically onethird of the time the cloud code agent was idle because I had no way to basically monitor it and codeex totally the opposite just worked for all the all the time and uh yeah almost never idle never asked for question…"
Transcript excerpt, Elie Bakouch (automatic captions), at 8:12
Published Sep 26, 2026self-described: Prime Intellect, optimizer speedrun experiments on the company GPU cluster
Their three-person team left Claude Code, which was slow and failed to fix issues, for Codex; with two Plus accounts per person, work is easier and free of usage anxiety.
Published Jul 18, 2026self-described: Three-person team selling to local government, 400,000-line repository
Practitioner account, pseudonymous; direct use; counts toward Delivered outcomes, Cost predictability and limits
After months of running both at LangWatch, Chaves keeps Claude Code as the builder for its background agents. Codex is the reviewer, surfacing the most P1 and P2 findings, such as a spend query missing its tenant filter. Automatic Codex review on every pull request stays off because of cost.
"After months of running both, our preference has been boringly consistent: Claude Code is better at doing the work, and Codex is the better reviewer of it."
Excerpt, Rogerio Chaves
Published Jul 8, 2026LangWatch, lean engineering team running a fleet of scheduled background agents
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Operational control
Builder.io's CEO prefers Codex mainly for its GitHub app, whose auto reviews find real bugs where Claude Code's GitHub reviews disappointed their dev team, plus pricing and limits.
Published Sep 28, 2025self-described: Builder.io dev team; Codex also built into Builder.io for designers and PMs
Vendor material, self-described; direct use; counts toward Delivered outcomes, Operational control, Cost predictability and limits
GILD's fact checks, which don't count as sources
Checked Oct 12, 2026.Codex limits vary by model and task. OpenAI estimates 15 to 160 local messages per five hours on GPT-6.1 Sol for Plus and Business, and Pro plans have no five-hour limit. Credits extend usage past the limit. A report of running out does not establish what another plan or model would allow. Pricing
Brex buys a few seats of several coding tools and lets engineers pick. Its CTO reports that engineers saw Codex as better at code generation but a little slower, and that fewer of them now switch, with some staying on Claude Code because they know it well.
"…when Codex came out and everybody was like, oh, Codex is better at CodeGen, but it’s a little bit slower."
Excerpt, James Reggio
Published Jan 17, 2026Brex engineering, where employees choose among several licensed coding tools
Practitioner account, name and role on an outside page; opinion; not counted, takes no position
Tanda's co-founder tried Codex in the cloud and found the feedback loop too slow to work with. Some prompts return a pull request that needs no changes, but any follow-up seems to rebuild the whole environment, which he calls a night and day difference from Claude Code on his machine.
"The implementation is so slow that it feels unworkable."
Excerpt, Alex Ghiculescu
Published Aug 18, 2025Tanda engineering, comparing Codex cloud tasks with Claude Code
Practitioner account, self-described; direct use; counts toward Delivered outcomes
GitButler's co-founder ported Git to Rust by running several coding agents for months. In /goal mode Codex kept working where Claude often stalled, though he found both goal modes slower than his own prompting loop, and his Codex subscription tokens ran out in the final days.
"Codex running in /goal mode seemed to keep working and getting stuff done."
Excerpt, Scott Chacon
Published Jun 9, 2026GitButler, months-long port of Git to a Rust library run through several coding agents
Practitioner account, name and role on their organization's own page; direct use; counts toward Delivered outcomes, Reliability, Cost predictability and limits
XING consolidated the whole company on ChatGPT Enterprise and Codex, and accepted trade-offs from token limits to missing IDE autocompletion to get there.
"Codex IDE is not supporting autocomp completion at all and interestingly the the whole test group looking at Codex before they didn't check this at all so because no one of us was using this so right you're using codeex CLI or…"
Builder.io's CEO prefers Codex mainly for its GitHub app, whose auto reviews find real bugs where Claude Code's GitHub reviews disappointed their dev team, plus pricing and limits.
Published Sep 28, 2025self-described: Builder.io dev team; Codex also built into Builder.io for designers and PMs
Vendor material, self-described; direct use; counts toward Delivered outcomes, Operational control, Cost predictability and limits
GILD's fact checks, which don't count as sources
Checked Oct 12, 2026.GPT-6.1 Sol runs in Standard and Fast modes where supported, and in Ultrafast on Pro US$500 and eligible Enterprise and Edu plans; faster modes draw on usage limits at a higher rate. Pricing
Says Codex shines at running dozens of small edits in parallel, like an unlimited pool of junior engineers, though output still needs work to be production ready.
Published May 16, 2025self-described: Assembled, engineering team in the Codex alpha test
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
A director had Codex investigate a bug their LLM-averse team had blamed on a vendor; Codex prepared a PR, and the team reviewed it and agreed it was a valid fix.
Published Dec 19, 2025self-described: Leads a team of direct reports; a bug the team had attributed to an external vendor
Practitioner account, pseudonymous; direct use; not counted, repeats a stronger account
Jayson DeLancey writes that a lot of tool shuffling has been landing on Codex for Semgrep's engineering team, with engineers citing less babysitting on certain types of tasks, cheap retries and AGENTS.md. One engineer now does 90% of their work through Codex; one described burning 94% of a five-hour limit.
"One engineer on our team switched about six months ago, around the GPT-5.5 release, and now does 90% of their work through Codex."
Excerpt, Jayson DeLancey
Published Oct 6, 2026self-described: Semgrep's own engineering team; the post also announces Semgrep Guardian support for Codex
Vendor material; ran the rollout; counts toward Operational control, Adoption and upkeep
An engineer built a team AI docs repo and a listener so Codex, triggered by PagerDuty alerts, investigates code and dashboards and posts bug-fix PRs to Slack for the on-caller to review.
Published Jul 31, 2026self-described: Engineering team owning production services, using Slack, PagerDuty and Grafana
Practitioner account, pseudonymous; ran the rollout; counts toward Delivered outcomes, Adoption and upkeep
After months of running both at LangWatch, Chaves keeps Claude Code as the builder for its background agents. Codex is the reviewer, surfacing the most P1 and P2 findings, such as a spend query missing its tenant filter. Automatic Codex review on every pull request stays off because of cost.
"After months of running both, our preference has been boringly consistent: Claude Code is better at doing the work, and Codex is the better reviewer of it."
Excerpt, Rogerio Chaves
Published Jul 8, 2026LangWatch, lean engineering team running a fleet of scheduled background agents
Practitioner account, name and role on their organization's own page; ran the rollout; counts toward Delivered outcomes, Operational control
A team feeds legacy app definitions through a multi-step Codex pipeline that outputs roughly 90% working React pages; developers fix and review, raising throughput from one to three pages a week.
Published Feb 24, 2026self-described: Team rewriting a legacy 1990s RAD application into React
Practitioner account, pseudonymous; ran the rollout; counts toward Delivered outcomes
Positive
Kelsey Brennan, software developer at Atomic Object
Kelsey Brennan's client project team runs Codex through codex exec in GitHub Actions to review pull requests against the project's written rules. Over a few months, 60 to 70 percent of its comments were solid findings worth addressing, though a person still needs project context to judge them.
"We have a GitHub Actions workflow that generates the prompt and passes it to Codex using codex exec…"
Excerpt, Kelsey Brennan
"…over the last few months I’ve found that 60 to 70% of the AI’s comments are solid findings that I choose to address…"
Same speaker
Published Dec 30, 2025Atomic Object client project team with a Django backend and shared Cursor rules
Practitioner account, self-described; direct use; counts toward Delivered outcomes
Positive
Ryan Cox, Senior Director of Infrastructure and Security at Temporal
Temporal's engineers used Codex to clear long-standing Java SDK issues, batching backlog tasks before lunch or end of day, and added AGENTS.md files to prepare repos for agents.
Published May 17, 2025self-described: Temporal SDK and server repositories; engineers across the company
Practitioner account, self-described; direct use; counts toward Delivered outcomes
Questions the sources split on, with the count on each side.
Evidence remains mixed
Among practitioners who use both, is Codex or Claude Code the better main tool?
77
Codex as the main tool, 7 sources
Some moved their main work to Codex for code that follows instructions closely and reviews that catch real bugs.
Claude Code as the main tool, 7 sources
Others keep Claude Code for front-end and design work or because it plans and asks before building, and use Codex for review or second opinions.
Evidence remains mixed
Should Codex work run on the engineer's machine or as delegated cloud tasks?
62
Local CLI, IDE, or app, 6 sources
Most work through the CLI, the IDE extension, or the desktop app on their own machine, where they can watch and steer each change.
Delegated cloud tasks, 2 sources
Others hand well-specified tasks to Codex Cloud and review the pull requests later, often several at a time.
Evidence remains mixed
How much should Codex complete before a human checkpoint?
42
Broader delegation, 4 sources
Some give Codex long unattended runs, overnight or across many issues, once acceptance checks are written down.
Tighter steering, 2 sources
Others plan first and work in small, supervised steps so wrong assumptions do not spread through larger changes.
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
44 sources. Leaders' accounts cover shared conventions, review load, spend as adoption spreads, and what changes when Codex moves from individual use into a team or company standard.
Individual builders
92 sources. Builders' accounts cover code quality, speed, plan limits, and how Codex performs in self-directed development.
All practitioners
136 sources. This group gives the broadest market read. It mixes individual work with team rollouts, and the two can reach different conclusions.
136 sources from practitioners, by the context they work in. Filled rows count for this group.
Individual practitionerSolo developers and independent builders92 sources
Emphasizes Code quality and plan limits
Very small team2 to 10 engineers12 sources, counted here
Emphasizes How much to delegate and what reaches review
Professional team11 to 50 engineers, or a named company's team14 sources, counted here
Emphasizes Review load and shared AGENTS.md conventions
Technical leadershipLeaders setting adoption across teams10 sources, counted here
Emphasizes Which vendor to standardize on, and at what cost
Organization-wideEnterprise or company-wide rollout8 sources, counted here
Emphasizes Managed defaults and company-wide spend
What changes with scale. Solo developers weigh the code Codex writes against how fast they hit their plan's caps. Team and organization accounts focus on how much of a task Codex carries and what that costs at company scale.
Where the sources come from
Where this group's sources were published.
Counted for Engineering leaders and teams, from 44 sources. Change group
65 sources for this group, 21 of them documentation
Engineering Blogs & Reviews22, 34% of 65 sources
Product Documentation21, 32% of 65 sources
Developer Communities16, 25% of 65 sources
Podcasts, Talks & Videos6, 9% of 65 sources
Older evidence stays when it still applies. Sources tied to a changed plan, limit, or model remain 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 Codex 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 +51 to +55, individual builders from +35 to +39 and all practitioners from +41 to +44.
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 +56 to +51, individual builders from +38 to +35 and all practitioners from +45 to +41.
Oct 28, 2026: added 12 records from GILD's research ledger and Reddit: 7 podcasts and talks with timed quotes, from DHH, Superhuman, BetterUp, Docker, Databricks, Shopify and a Meta product manager, 3 write-ups, a GitHub issue and a Reddit post, and quoted the Prime Intellect, Quesma and Armin Ronacher accounts already listed. Three state no view of Codex overall, and GILD has not checked the Reddit author's ties to OpenAI, so those four count toward no figure. Since the Oct 25 weighting change, leaders and teams move from +57 to +55 on 41 counted sources, individual builders move from +38 to +39 on 83, and all practitioners move from +45 to +46 on 124.
Oct 28, 2026: lists NVIDIA's blog post by Justin Boitano without counting it, because NVIDIA is an OpenAI investor and infrastructure partner. Leaders and teams move from +57 to +56 and all practitioners from +46 to +45; individual builders stay at +38.
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.
Leaves out a review-capacity statement and a question about whether Codex saves time overall, which fewer than 5 sources discuss.
Checks every documentation link against OpenAI's current Codex documentation on learn.chatgpt.com.
Admits English-language publishers only. This removed 7 team accounts and, with them, the pull request review, code quality, and AGENTS.md findings for leaders and teams. The latest source was then dated Oct 7, 2026.
Oct 21, 2026: added 20 Hacker News accounts. Three state a headcount or an engineering-manager role and joined leaders and teams, taking it from 21 to 24 sources, from 21 authors, and its score from +48 to +54. The other 17 state no headcount, organization or role and count as individual builders. The evidence window now ends at the newest source, Oct 18, 2026.
Oct 30, 2026: a second-model check removed Atomic Object's code-review card, a consultancy's own post, while its pre-SURFACE record stays. Superhuman's talk is listed and no longer counted, since Superhuman took part in Anthropic's early Claude Code beta. It corrected Every's switch date to recent months before Sep 22, Prime Intellect's speedrun result, which gives no clear figure for Codex, and Disney's account, which reports leaving Copilot and a plan to adopt Codex. Docker's episode card and record leave, since the episode transcript prints no publication day. 64 positive and 13 negative accounts remain.
Oct 25, 2026: reviewed five new sources and admitted four. A Business Insider report is left out: Codex was due to follow on May 12, and the article documents no Codex use. Leaders and teams stay at 24 sources from 21 authors, each taking a side, at +54. Sources from practitioners grow from 86 to 90. At that point Codex versus Claude Code and local versus delegated cloud work each had a side with fewer than 2 team sources. Neither showed as a disagreement for leaders and teams. A later entry below adds them.
Oct 25, 2026: added four themes from what existing accounts state. Value for Money: 9 say the plan is worth it and 4 say it is not. Needs Close Steering: 4 report supervising or correcting a run to keep it on track, and 3 hand off work without that concern. Fast Runs: 4 praise how fast Codex works and 6 find it slow or mixed. Stability: 1 calls it reliable and 2 report runs that break or stop.
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. Ryan Cox, Steve Sewell, Rogerio Chaves and four accounts added since counted three times here, and 17 other matched accounts counted twice. On that record, leaders and teams moved from +54 to +57, individual builders from +35 to +38, and all practitioners from +41 to +46. 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: 7 company and personal blog posts, a Render benchmark, 4 independent research studies, and 13 GitHub issues on openai/codex. Hacker News falls from 51% to 40% of the 115 accounts. Leaders and teams gain 5 sources, reaching 29 from 26 authors, and their score moves from +60 to +59, with LangWatch's CTO Rogerio Chaves counted three times. Individual builders hold steady, and all practitioners sit at +44. Codex versus Claude Code now has 2 team sources for Claude Code, LangWatch's CTO among them, and 7 for Codex. Local versus cloud work has 4 local and 2 cloud. Both now show as disagreements for leaders and teams. How much to delegate still has 1 team source for tighter steering. A team deciding it should log, over a two-week pilot, how often each Codex run needs a correction before review.
Method
A running review of what engineering teams report about Codex, 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 +55 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 +56 Strong positive; with one vote per author it read +51 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 +51 Strong positive and now reads +55 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 6 of 33, individual builders 22 of 73, all practitioners 28 of 106.
Limits
The figures come from 157 reviewed sources: 136 accounts from people who use Codex and 21 documentation pages. They do not represent all Codex users. Hacker News comments, OpenAI Developer Community posts, GitHub issues and a Reddit post make up 64 of those accounts; blog posts, newsletters, benchmarks and research studies 53; and recorded talks and podcasts 19. A GitHub issue counts as mixed unless its author rejects Codex, and a research study takes no side. Team and leader accounts make up 44 of the 136.
Sources do not consistently name the plan, model, or Codex client. Each record includes what its author states. Codex has changed model generations since May 2025.
Every count, and the sources behind it
24 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 Limits / Cost. Codex limits vary by model and task. OpenAI estimates 15 to 160 local messages per five hours on GPT-6.1 Sol for Plus and Business, and Pro plans have no five-hour limit. Credits extend usage past the limit. A report of running out does not establish what another plan or model would allow. Pricing, checked Oct 12, 2026
Speed. GPT-6.1 Sol runs in Standard and Fast modes where supported, and in Ultrafast on Pro US$500 and eligible Enterprise and Edu plans; faster modes draw on usage limits at a higher rate. Pricing, checked Oct 12, 2026