Greptile
AI pull-request reviewer that indexes your whole codebase as a graph and sends a swarm of agents after each diff.
Evaluation
What to know
Best for
- Teams merging a high volume of agent-written pull requests
- Engineering orgs that want consistent review standards across repos
- Regulated companies needing on-prem or air-gapped review
Not ideal for
- Solo hobbyists who rarely open PRs
- Teams without code-review culture to train it
- Shops wanting an IDE autocomplete rather than a reviewer
Key features
- Graph index of the codebase used as context for every PR review
- Parallel review agents with Base, Plus and Apex depth tiers
- Plain-English custom rules plus learning from team comments
- Hand-off to Claude Code, Cursor, Codex, Devin; MCP server and /greploop
- TREX sandbox runtime testing (beta) and self-hosted enterprise option
Pros
- Whole-repo context catches cross-file bugs simple diff bots miss
- Works as a reviewer for AI-generated code from many agents
- Free for qualified open-source projects; 50% startup discount
Cons
- Credit-based review tiers make cost forecasting harder for busy repos
- Comment volume needs tuning before teams trust it
- Self-hosting and broad VCS support are Enterprise-only
ToolifyNav verdict
Greptile belongs to a category that barely existed two years ago: a reviewer whose main job is checking code nobody on the team typed. Its graph index and agent swarm are a reasonable answer to the core weakness of diff-only bots, and the hooks into Claude Code, Cursor and Devin make it feel like infrastructure rather than another chat window. The trade is operational. Credits per review depth add a budgeting dimension, and any reviewer is only as good as the rules and feedback it receives. Teams already drowning in agent PRs are the obvious buyers; small teams can test the free Starter seat first.
About
About Greptile
Greptile is an AI code reviewer built around one claim: a diff only makes sense in the context of the repository around it. When you connect a repo, Greptile builds a graph index of files, functions and dependencies. On each pull request, parallel agents review the change, follow its impact beyond the edited lines, and leave comments ranging from style violations to security risks and multi-file logic bugs. The company publishes examples of catches in open-source projects from NVIDIA, Meta's PyTorch org and Solana.
Review behavior is tunable. Teams write rules in plain English and point Greptile at repo-specific context, and the system reads engineers' replies to its comments to learn what the team actually cares about. Review depth is now tiered — Base, Plus and Apex reviews consume 1, 3 or 10 credits — so expensive deep passes can be reserved for risky changes.
Greptile positions itself as a validation layer for code written by other agents. It can hand an issue to Claude Code, Cursor, Codex or Devin in one click, exposes an MCP server, ships a Claude Code plugin, and offers a /greploop flow where a coding agent iterates until Greptile has no objections. A beta called TREX runs the PR branch in a sandbox to catch runtime-only bugs. Enterprise buyers get self-hosting, including air-gapped deployments, plus SOC 2 reports, SSO and support for GitHub Enterprise, GitLab Self-Managed, Bitbucket Data Center, Gitea and Perforce.
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