Greptile
AI code reviewer with full-codebase context
Overview
Greptile indexes the entire codebase to deliver AI code reviews with cross-file awareness — catches issues that single-file diff reviewers miss. Used by Reddit, Vercel, Stride Health and others. Integrates with GitHub and the major CI providers.
Use cases
What you can produce with Greptile
- Connect a GitHub or GitLab repository and have every new pull request automatically reviewed with comments that account for code in other files, not just the diff.
- Catch a breaking change in a shared helper function before merge, with Greptile tracing the downstream call sites across modules that a diff-only reviewer would miss.
- Ask questions about an unfamiliar codebase in natural language, such as where authentication is handled, and get answers grounded in the indexed repository.
- Get an auto-generated summary of each pull request so reviewers understand the intent of a change before reading the code.
- Thumbs-up or thumbs-down individual review comments and have the bot learn your team's conventions, suppressing the kinds of nitpicks you keep rejecting.
- Encode team-specific rules, like naming conventions or forbidden patterns, and have them enforced automatically on every PR.
- Start on the free tier with 50 automated reviews per month before committing to the roughly $30-per-developer paid plan.
ASEAN Perspective
Greptile in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Greptile's edge is full-codebase indexing: its reviewer reasons about your repo as a whole, so it catches cross-file and context-dependent bugs that diff-only reviewers miss. Recent additions (long-term memory, MCP integrations with Jira/Notion, scoped rules) make it genuinely useful as a first-pass reviewer on every PR. The Genius/Codebase Intelligence API ($0.45/request) lets teams build custom internal tooling on top of the index, which is a real differentiator.
Pricing is $30/developer/month with 50 reviews included then $1 per extra review, so very high-volume teams should model costs first. As with all AI reviewers, expect some false positives and treat it as augmentation, not a gate. No ASEAN-specific features but standard cloud availability applies.
What people say
Greptile has grown from a Y Combinator seed project into one of the most talked-about AI code reviewers, closing a $25 million Series A led by Benchmark in September 2025 and claiming over 2,000 customers by early 2026, including Brex, Substack and Whoop. Its pitch is architectural: instead of reviewing only the diff, it indexes the whole repository into a code graph, so a pull-request review can flag a break three modules away. A free tier (50 reviews a month) arrived in mid-2026, lowering the barrier for small teams.
Users who like Greptile like it for exactly that reason. Independent benchmarks run across real open-source pull requests measured an 82 percent bug catch rate, well ahead of most diff-only rivals, and reviewers consistently credit it with catching cross-file regressions, convention violations and dependency breaks that single-file tools are structurally blind to. The bot also learns from thumbs-up and thumbs-down feedback, so comment quality tends to improve on a given repo over time.
The recurring complaint is noise. Hacker News threads include developers who called early Greptile reviews "pure noise" and generic, cited confident but wrong claims, and disliked the per-PR confidence score, which teammates could misread as a verdict on the author. Benchmarkers noted Greptile publishes recall figures but not precision, and its false-positive count ran well above quieter competitors. The v4 release in March 2026 raised the comment acceptance rate from roughly 30 to 43 percent, a real improvement, though community sentiment has been slower to turn.
Greptile fits teams with large, interdependent codebases who would rather triage a few spurious comments than miss a cross-module bug, and who will invest a couple of weeks tuning it. Teams that prize a quiet, high-precision reviewer above maximum recall may be happier elsewhere.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Greptile's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Greptile unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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