Greptile

✓ Editorially verified

AI code review that understands the whole codebase, not just the diff

Paid· Free for open-source / $30 per seat/month (includes 50 review credits, $1 per additional credit) / Enterprise (self-hosted, custom)Coding

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Best for

Engineering teams on GitHub or GitLab who want AI PR reviews that understand the whole codebase, not just the diff — especially teams shipping fast enough that human reviewers are a bottleneck.

Skip if

Solo hobbyists on tiny repos where a diff-only Copilot review is enough, or shops that cannot send source to a third-party SaaS and are not on the enterprise self-hosted plan.

Greptile is an AI code review platform that plugs into GitHub and GitLab pull requests and comments on them the way a senior engineer would — with an understanding of how the changed code fits into the rest of the repository. Rather than treating a diff as isolated text, Greptile first constructs a graph index of the whole codebase (files, functions, symbols and their dependencies), then dispatches a swarm of specialised agents to reason about the PR against that graph. The result is review comments that catch cross-file logic bugs, breaking API changes, missed call-sites, dead branches, and violations of team-specific conventions that a diff-only linter or a generic LLM assistant would miss. A separate runtime-validation component called TREX writes and runs tests for the PR in a sandbox, so reviews can flag behavioural regressions rather than only static concerns. Greptile also learns continuously from the way a team responds to its comments — the patterns humans accept, dismiss, or rewrite become weightings on future reviews, and teams can encode explicit rules in plain English. Beyond PR review, the same index is exposed to coding agents (Claude Code, Cursor, and others via an MCP server) and through a REST API, so Greptile can act as the retrieval backend for internal AI tooling as well as a reviewer. It is used by 9,000+ teams, including Brex, Nvidia, Meta PyTorch, Substack, Retool and Zapier, and offers a self-hosted AWS deployment for regulated environments in defense, healthcare and finance where the code cannot leave the tenant.

Editor's take

Greptile is one of the few AI review tools that actually earns its comments — the codebase graph plus TREX sandbox execution give it a defensible edge over 'LLM reading a diff' competitors. The pricing is fair for the value if your team pushes real PR volume, but the opaque model stack and cloud-default deployment mean regulated buyers should budget for the enterprise tier from day one.

— The AI Tool Bible editorial team

Pros

✅ Whole-repo graph index catches cross-file bugs that diff-only reviewers miss
✅ TREX sandbox actually executes tests against the PR to catch behavioural regressions
✅ Learns from a team's accept/dismiss patterns, so noise drops over time
✅ Custom rules can be written in plain English rather than a DSL
✅ Same index is exposed via REST API and MCP, so it doubles as a codebase retrieval backend for other agents
✅ Free tier for open-source and a self-hosted AWS option for regulated industries
✅ Ships with GitHub, GitLab, Zapier and Claude Code integrations out of the box

Cons

⚠️ Seat-based pricing plus per-review credits gets expensive on high-PR-volume monorepos
⚠️ Initial indexing on very large repositories takes time and must be kept in sync
⚠️ Underlying model providers are not disclosed on the marketing site, which matters for buyers with strict data-processing requirements
⚠️ Review quality still depends on the team investing in feedback loops and custom rules early on
⚠️ SaaS default sends code to Greptile's cloud — self-hosting is enterprise-tier only

Use cases

Automated pull request reviewCross-file bug detectionEnforcing team coding conventionsRuntime regression testing in sandboxesCodebase Q&A for engineering onboardingRAG backend for internal coding agentsMCP server for Claude Code and CursorSelf-hosted code review in regulated industries