Skip to content
agentscamp
Tool

Greptile

An AI code review agent that reviews pull requests with full-codebase context — catching multi-file logical bugs and learning your team's standards.

paidreview
Updated Jun 11, 2026
code-reviewai-reviewpull-requestsci

Greptile reviews pull requests with full context of the codebase — not just the diff — so it catches multi-file logical bugs diff-scoped reviewers miss. It learns team standards from your engineers' own PR comments, takes custom rules in plain English (and reads CLAUDE.md/.cursorrules), and hands fixes off to Claude Code or Cursor. Paid per seat, 14-day trial; free for qualifying open source.

Greptile attacks the weakness of diff-scoped review: most real bugs aren't visible in the changed lines alone. It indexes your entire codebase and reviews every pull request against that context — the callers of the function you changed, the convention the rest of the module follows, the invariant two files away — which is how it catches the multi-file logical bugs that pattern-matching reviewers wave through.

Highlights

  • Full-codebase context — reviews reason over the repository, not the diff, targeting cross-file logic errors.
  • Learns your standards — the v4 agent architecture (March 2026) learns from your engineers' own PR comments, so the bot's taste converges on the team's and nitpick noise drops.
  • Rules in plain English — codify standards conversationally; it also auto-detects existing CLAUDE.md and .cursorrules files as conventions.
  • Agent handoff — "Fix with your Agent" sends findings straight to Claude Code, Cursor, or Codex; an MCP server exposes reviews and patterns inside those tools.
  • CLI for local reviewnpm i -g greptile reviews branches from the terminal before a PR exists.
  • Enterprise posture — SOC 2 Type II, SSO, audit logs, and self-hosting (Docker/Kubernetes, air-gapped with custom LLMs).

In an AI-assisted workflow

Install the GitHub or GitLab app, select repos, and reviews start appearing on PRs within minutes. The compounding loop is the point: agents write more of the code, Greptile reviews it with repo-wide context, and its findings route back to the agent that wrote it — closing the write → review → fix cycle without a human ferrying comments.

TIP

Treat the learning period deliberately: keep human review on high-stakes paths for the first weeks while Greptile absorbs your team's comment patterns — its precision visibly improves as it learns what your engineers actually flag.

Good to know

Greptile is a proprietary SaaS (the GitHub org hosts integrations, not the product), backed by a $25M Series A led by Benchmark (September 2025) and used by 9,000+ teams including Brex and PostHog by mid-2026. Reviews are metered per seat (50/month on Pro, then per-review) — relevant for very high-PR-volume teams. GitHub and GitLab only; Bitbucket/Azure DevOps shops should look at Qodo. How it stacks against the field is in Best AI Code Review Tools in 2026.

Frequently asked questions

What makes Greptile different from other AI code reviewers?
Codebase-wide context and learned standards. It indexes the whole repository, so a review considers callers, conventions, and side effects beyond the diff — and its v4 architecture learns from how your engineers actually comment on PRs, cutting nitpick noise over time. Custom rules are plain English, and it auto-detects CLAUDE.md and .cursorrules files.
How much does Greptile cost?
It's a paid product — Pro runs $30 per seat/month with 50 reviews per seat included ($1 per extra review), with a 14-day trial, a 50% startup discount, and custom Enterprise plans. There's no permanent free tier, but qualifying open-source projects (MIT/Apache/GPL, non-commercial) get it free.
Does Greptile work with GitLab and self-hosting?
Yes on both: GitHub (Cloud and Enterprise Server) and GitLab (Cloud and Self-Managed) are supported, and the platform is SOC 2 Type II with self-hosted deployment via Docker Compose or Kubernetes — including air-gapped setups with custom LLMs for stricter environments.

Related