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Decision brief

Greptile Review: What to Settle Before Greptile Reviews Every Pull Request

Buy Greptile for the highest-precision AI review on Martian's independent July 2026 benchmark, once the credit budget, strictness, and data sharing are set.

Reading time
3 min read
Sources
23 cited
In this piece
Greptile+40 Positive

GILD verdict

Buy Greptile as the first reviewer on every pull request when review capacity is the bottleneck and you want a reviewer independent of your coding agent.

Its comments carry less noise than most. Greptile's capture of Martian's independent benchmark shows developers acted on 76.2% of its suggestions on July 30, 2026, the highest precision on the board. The New Stack placed it second there on October 6.

Greptile

AI Code Review by Greptile

+40 Positive
Product page

Fit and limits

Who it fits

  • Review queues are growing faster than reviewer capacity, including pull requests opened by coding agents.
  • Your code spans GitHub, GitLab, Bitbucket, or Gitea, or runs on self-managed hosts such as GitHub Enterprise Server or Bitbucket Data Center.
  • Security or data residency rules require review inside your own infrastructure. Greptile self-hosts on Docker Compose or Kubernetes, air-gapped included, with your own LLM provider.
  • You want review independent of the coding agent, with fixes sent to Claude Code, Codex, Conductor, Cursor, or Devin.

Where it falls short

  • Every author and coding agent draws on one prepaid credit pool, so a few prolific authors, or Plus and Apex tiers, set the bill.
  • Help us improve Greptile is on by default, and Greptile's security page reserves the right to train models on de-identified customer data until you opt out.
  • On Greptile Cloud, code stays cached on Greptile's servers until access is revoked in the code host.
  • Self-managed code hosts, Gitea, SSO, and self-hosting all require Enterprise, and Azure DevOps is not among the supported code providers.

Implementation reality

  1. Cap spend before you enable repositories

    Pro bills prepaid credits at US$1 each, shared across the organization. Base uses 1 credit, Plus 3, and Apex 10. Leave automatic recharge off for the pilot: when credits run out, new reviews pause until you add more. Greptile excludes dependabot and renovate by default; add service accounts to excludeAuthors so they spend no credits.

  2. Decide where deeper tiers apply

    Greptile recommends Auto as the default, with tier rules that run Apex on pull requests into production branches or above 30 changed files. Tiers can be set for the organization, a repository, a directory in .greptile/config.json, or one pull request with an @greptileai comment.

  3. Tune noise, then let the team train it

    Start at strictness 2 on the 1 to 3 scale. Add generated paths to ignorePatterns. React to comments with thumbs up or down and reply with corrections. Greptile says it stops commenting on ignored topics after 2 to 3 weeks. Greptile reports that its v5 agent, live for all users since August 5, 2026, raised the share of comments authors address from 52% to 66% in A/B tests. Its analytics dashboard tracks addressed rate, critical bugs caught, and merge times.

  4. Settle data handling and approvals

    Decide whether to disable Help us improve Greptile and opt out of AI training. Choose cloud hosting or a self-hosted license. Keep auto-approve off or restrict it to low-risk paths. It approves pull requests on GitHub, GitLab, Bitbucket Cloud, and Gitea without another human review.

What to measure in your pilot

  • Track the addressed rate by tier for a month; if Apex comments are addressed no more often than Base ones, keep Apex for production branches only.
  • GILD found no published credit spend per developer under Auto; read credits per developer in Settings, Usage weekly for the first month before turning on automatic recharge.
  • GILD found no team that published both review time and escaped defects; compare time to first human approval and production incidents for a month before and after.

Sources

Official documentation
22
Public source
1
  1. Greptile pricingOfficial documentationgreptile.com
  2. Greptile docs: BillingOfficial documentationgreptile.com
  3. Greptile docs: Review tiersOfficial documentationgreptile.com
  4. Greptile docs: OverviewOfficial documentationgreptile.com
  5. Greptile docs: Key featuresOfficial documentationgreptile.com
  6. Greptile docs: Code providersOfficial documentationgreptile.com
  7. Greptile docs: Deployment optionsOfficial documentationgreptile.com
  8. Greptile docs: Self-hosted GreptileOfficial documentationgreptile.com
  9. Greptile security practicesOfficial documentationgreptile.com
  10. Greptile docs: SSO & identityOfficial documentationgreptile.com
  11. Greptile docs: Organization settingsOfficial documentationgreptile.com
  12. Greptile docs: Controlling nitpickinessOfficial documentationgreptile.com
  13. Greptile docs: Memory and learningOfficial documentationgreptile.com
  14. Greptile docs: Graph-based codebase contextOfficial documentationgreptile.com
  15. Greptile docs: Auto-approve PRsOfficial documentationgreptile.com
  16. Greptile docs: Fix with your AgentOfficial documentationgreptile.com
  17. Greptile docs: Greptile CLIOfficial documentationgreptile.com
  18. Greptile docs: MCP overviewOfficial documentationgreptile.com
  19. Greptile docs: MCP tools referenceOfficial documentationgreptile.com
  20. Greptile docs: ChangelogOfficial documentationgreptile.com
  21. Greptile: Greptile Ranks #1 on Martian's AI Code Review Benchmark (Jul 30, 2026)Official documentationgreptile.com
  22. The New Stack: Copilot tops GitHub's own AI code review benchmark. An independent one tells a different story. (Oct 6, 2026)Public sourcethenewstack.io
  23. Greptile changelog: Greptile v5 (Aug 5, 2026)Official documentationgreptile.com

Keep reading

  1. Buyer guideGreptile Review Playbook: Comments Your Engineers Act OnPer-directory strictness and comment types, training Greptile with reactions and replies, handing fixes to your coding agent, and a human approval before merge.
  2. Buyer guideGreptile Team Rollout Checklist: What a Pilot Has to ProveA five-step pilot for teams deciding whether Greptile Pro's prepaid review credits, US$1 each with no seat fees, are worth it after the 14-day trial, with the billing settings that prevent surprise charges.
  3. Buyer guideGreptile Data & Deployment Checklist: Storage, Training, and Self-HostingWhat Greptile Cloud stores and what it can train on, the settings to change before connecting repositories, SSO and directory sync, and when to self-host.
Read the research