Greptile

Greptile is an AI code reviewer that understands your whole codebase, not just the diff. It indexes your repositories as a graph and unleashes a swarm of parallel agents on each pull request to catch bugs, security risks, and logic errors that isolated, file-by-file review tools miss — learning your team’s standards over time.

What is Greptile?

Greptile is an AI-powered code-review platform that analyzes pull requests with full codebase context. It indexes codebases as graph structures and uses parallel agents to assess changes across files, catching everything from style violations to security risks and logical bugs. A beta feature, TREX, adds runtime validation by writing and executing tests for pull requests. Greptile personalizes to each team: you can set custom rules in plain English, and it learns from your PR comments over time. It integrates with GitHub and GitLab, works alongside AI coding agents like Claude Code and Cursor via the MCP protocol, and offers self-hosting for enterprises with compliance needs. Used by thousands of teams — including well-known engineering organizations — it is priced per seat with review credits, plus a free tier for qualifying open-source projects.

What it does well

• Full-codebase context: graph indexing gives reviews awareness beyond the diff.
• Parallel agents: a swarm assesses changes for bugs, security, and logic issues.
• Personalization: plain-English rules and learning from your team’s comments.
• Flexible integration: GitHub, GitLab, MCP, and self-hosting options.

Who it is for

Greptile fits software teams that want deep, context-aware AI code review — especially those with larger codebases where cross-file understanding matters and where routine review is a bottleneck. It suits teams wanting to catch more issues before merge and to enforce standards consistently. It complements human reviewers rather than replacing them, so critical design judgment still rests with people, but for raising review quality and speed, Greptile is a strong choice.

Things to keep in mind

• AI review is a powerful first pass, but humans should still own major design decisions.
• Reviews and credits are priced per seat and per review, so costs scale with usage.
• It works best once it has learned your codebase and standards.

Our verdict

Greptile stands out among AI code reviewers for its full-codebase context: by indexing repositories as graphs and running parallel agents, it catches issues that diff-only tools miss, and it tailors itself to your standards over time. Integrations with GitHub, GitLab, and MCP, plus self-hosting, make it flexible for real teams. It is a first-pass reviewer that complements human judgment, and costs scale with usage, but for teams that want deeper, context-aware reviews, Greptile is an excellent, capable option.

Frequently asked questions

What is Greptile?

Greptile is an AI code-review tool that reviews pull requests with full-codebase context, indexing repositories as graphs and using parallel agents to find bugs, security risks, and logic errors.

How is Greptile different from other AI reviewers?

It analyzes changes with full-codebase context rather than just the diff, uses a swarm of parallel agents, and learns your team’s standards from PR comments.

Does Greptile integrate with my tools?

Yes. It works with GitHub and GitLab, alongside AI agents like Claude Code and Cursor via MCP, and offers self-hosting for enterprises.

How much does Greptile cost?

Plans are around $30 per seat per month with 50 credits included, plus about $1 per additional review, with a free tier for qualifying open-source projects.

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