AI code review agent with whole-repository context for GitHub and GitLab
Greptile is an AI code review agent for software teams using GitHub or GitLab.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Greptile is an AI code review agent for software teams using GitHub or GitLab. It automatically reviews pull requests by analyzing the full repository graph rather than just the diff, so it can catch bugs that depend on how changed code interacts with the broader codebase. Feedback lands directly on PRs as summaries, confidence indicators, diagrams, and inline comments, and reviews adapt over time through thumbs up/down reactions and reply-based training. Pricing starts at $30 per month per developer on the Cloud plan, with a free trial and a quote-based Enterprise tier. Key capabilities include custom context rules, rule effectiveness tracking, self-hosted deployment, and API access. TopReviewed's six-seat AI review panel scored it 7.5/10, praising whole-repository indexing for catching cross-file bugs diff-only tools miss while noting the training loop takes weeks to tune to a team's review style. It fits best for engineering teams shipping enough PRs that cross-file regressions actually happen.
In practice, Greptile connects to a GitHub or GitLab repository via a GitHub App or GitLab token and webhook. Once enabled, it automatically triggers on pull requests and posts a review that includes a summary, confidence level, architecture diagrams where relevant, and inline comments on specific lines. Developers can also invoke it manually by tagging @greptileai or request targeted checks on specific concerns. Draft PR reviews are supported, allowing teams to use it as a local review step before requesting human review.
Greptile differentiates itself through graph-based codebase indexing, which lets it reason about how a change affects parts of the codebase not included in the diff. It includes a learning system where thumbs up/down reactions and short explanations on review comments tune future behavior, reducing noise over time. Teams can define custom rules covering architecture, security, performance, and coding standards via a greptile.json file in the repository root or through the dashboard. A pattern repositories feature allows cross-repo context by referencing shared libraries, documentation repos, or related services during review. Greptile also supports MCP integration for IDE-based workflows in tools like Cursor, Claude, and VS Code.
Greptile targets engineering teams of varying sizes, with documented case studies from companies including Brex and Podium. It offers a 14-day free trial. Pricing is subscription-based with public plans listed on the pricing page. Deployment options include a cloud-hosted version and self-hosted options via Docker Compose or Kubernetes for enterprise customers. Named competitors in the category include CodeRabbit and Bugbot, and Greptile publishes benchmark comparisons against five tools on fifty real bug PRs.
The product exposes a REST API for indexing repositories, running natural-language queries, and integrating with external tools such as Slack, Sentry, and GitHub workflows. Webhook support is included for event-driven integrations. Configuration is managed either through the Greptile dashboard or a per-repository greptile.json file, with the file taking precedence over dashboard settings.
Automatically reviews pull requests by building a graph of the full codebase and using parallel agents to reason beyond the diff, producing summaries, confidence scores, diagrams, test suggestions, and inline findings.
Tracks reviews, merge times, addressed rates, critical findings, reactions, teams, repositories, and authors.
Automatically approves low-risk pull requests after a clean Greptile review.
Runs the PR branch in a sandbox using services, tests, mocks, API calls, and browser agents, then attaches logs, screenshots, traces, scripts, videos, or API output as evidence for findings.
Runs full reviews on local branches before opening a pull request, with agent-friendly output for automated review-and-fix loops.
Defines architecture, security, performance, and coding standards scoped to repositories, directories, or file patterns via cascading configuration files.
Indexes full-codebase and adjacent-repository context, custom rules, and directory-scoped configuration, and learns from team feedback to personalize future reviews.
Gives reviews read-only context from related services, shared libraries, SDKs, and documentation repositories.
Validates code from Claude Code, Codex, Cursor, Devin, and other coding agents through Fix in X, MCP, the Claude Code plugin, and iterative greploop workflows.
Lets AI development environments trigger reviews, fetch unresolved feedback, apply fixes, manage custom context, and inspect review status via MCP tools.
Reviews code against implementation guidance from partners like OpenAI, Vercel, Stripe, PostHog, Datadog, WorkOS, Mintlify, and Braintrust, attaching source links to relevant comments.
Performs security-focused PR review combining Opengrep deterministic scanning, software composition analysis for known CVEs, and contextual AI analysis for chained exploits.
Best for individual developers
Best for teams
Best for organizations at scale; custom pricing, talk to sales
YC-backed PR review AI that reads the whole repo, not just the diff.
“Founded 2023, YC W24, $30 per developer per month. Engineering teams already feel the diff-only review ceiling — Greptile bets that whole-repo context is what wins the category.”
Founded 2023. YC W24. $30 per developer per month. Three numbers that frame the bet — early-stage vendor, priced to land in dev-tool budgets, riding a category that didn't exist 18 months ago.
Two things matter. One: the whole-repository indexing solves a real problem CodeRabbit and Sourcery work around with diff-only context. Two: code review is high-trust work, and that trust is built one PR at a time. The thumbs up/down training loop is smart but it's slow.
Pilot on five repos for 60 days. Don't replace human reviewers. If the team starts merging Greptile-flagged fixes faster than human-flagged ones, you have a real signal. If not, $30/seat is cheap enough to keep around for the obvious bugs.
Differentiated vs CodeRabbit on indexing depth, but the category will consolidate within 24 months.
YC backing softens the 'who is this vendor' conversation; still early enough to flag in board materials.
PR comments appear immediately on first install — no upfront training delay before reviewers see signal.
Whole-repo context is a genuine differentiator for teams already feeling the diff-only review ceiling.
YC W24, founded 2023, no public funding round beyond the accelerator — early but actively shipping.
Engineering teams shipping enough PRs that diff-only review tools miss cross-file bugs.
Your team is regulated and cannot route proprietary code through a vendor-managed indexer.
Indexed repository graph is the right architectural bet for AI code review.
“Greptile reads your full call graph, not just the patch — the only architecture that catches cross-module regressions before merge. The lock-in question is the index, not the comments.”
The architecture is the differentiator. Greptile builds a repo-wide graph at install time, then queries it on every PR. That's the only shape that catches a regression where the diff looks safe but a downstream caller breaks. CodeRabbit's diff-with-AST approach can't see that pattern by design.
If we adopt this, in 18 months our PR culture changes — engineers will write smaller PRs because Greptile flags drift cheaply. That's a workflow benefit, not just a feature. The lock-in lives in the index, not the comments. If we leave, the comments don't travel.
GitHub and GitLab are both supported, which matters because we run both. The integration surface is shallow on purpose, which I read as a v1 decision, not a long-term architectural call.
Sits ahead of CodeRabbit on architectural depth, behind GitHub Copilot on distribution — defensible for now.
Maps to how senior engineers actually review — by tracing impact across files, not by reading patches in isolation.
GitHub and GitLab supported via standard PR webhooks; no IDE plugin, which is intentional but limits surface.
Lock-in lives in the index plus the team's training feedback; both are shallow enough to walk away from in under a quarter.
Repo-graph indexing is technically harder than diff-AST and represents a real craft ceiling above competitors.
Engineering orgs with multi-repo monoliths or microservices where cross-file regressions actually happen.
Your team writes single-file features and does not have meaningful cross-module coupling.
$30/dev/month, transparent tiers, 14-day trial — predictable for a 2024 dev tool.
“Three tiers, all priced publicly. No SSO tax visible. The math at a 50-engineer team works out to $18K/year — competitive against CodeRabbit at $24/dev.”
$30 per developer per month. Listed publicly. No sales call needed for the team plan.
50 engineers × $30 × 12 = $18K/year. Add the seat creep finance teams underestimate at roughly 20% over 24 months. Year 3 lands closer to $24K. Compare CodeRabbit Pro at $24/dev/month — Greptile sits in the middle of the category, not at the floor.
No published overage rate, because the model is per-seat, not per-PR. That removes one risk most AI tools carry. Enterprise pricing is contact-sales — assume the standard 30-50% premium for SSO and SLAs. 14-day trial is short for a tool this dependent on repo indexing, but it's honest pricing throughout.
Self-serve credit card on team plan removes procurement friction; enterprise tier reverts to standard contract motion.
Monthly billing on the team plan; auto-renewal terms not published — assume category-standard 30-day cancellation.
All tier prices visible; team plan is self-serve; only enterprise hides behind contact-sales — category-honest.
Hard to measure dollar value of bugs caught early; easier to measure PR cycle time, which Greptile should compress.
$18K-24K per year for a 50-engineer team over three years; predictable because it is per-seat, not per-PR.
A 20-100 engineer team that wants predictable monthly AI review cost without negotiating overage clauses.
You need 30+ day trials to validate index quality on a large monorepo before commitment.
Inline PR comments, confidence scores, full-repo context — the day-3 friction is the noise.
“On day three, the comments mostly land. The friction is volume — Greptile leaves more inline comments than a senior reviewer would, and there's no per-comment dismissal-feedback shortcut yet.”
Day one looks great. Greptile drops a structured summary at the top of every PR — diagram, confidence indicators, inline comments with file:line references. That's closer to how engineers actually review than a single AI block at the bottom.
Day three the friction shows up. The comment density is high. CodeRabbit has the same issue, but Greptile's thumbs-up/thumbs-down trainer is the only path to teach it your team's style. Two weeks of consistent thumbs to dial the noise down. Real cost.
Build the muscle of dismissing low-confidence comments fast. The repo-graph context catches cross-file bugs nothing else does — that's the win. Just don't expect every comment to land on a 3-line refactor PR.
Comment density is high until the team trains the model — two weeks of thumbs-feedback is real onboarding friction.
Docs include real PR screenshots and integration setup, written in engineer voice — not marketing.
Noise on small refactor PRs and the lack of a one-key dismiss-with-reason shortcut accumulates over a sprint.
.greptileignore and per-repo config let advanced teams dial it in; less depth than CodeRabbit's YAML rules.
Comments land directly on the PR, not in a separate dashboard — same surface engineers already use.
Engineers on monorepos or multi-service codebases where cross-file impact analysis matters daily.
Your repo is small or single-purpose and a diff-level review tool already covers your needs.
A code reviewer that actually read the repo before the PR — but it talks too much on day one.
“The first week, Greptile feels like it's trying to prove itself with comment volume. Week three, after thumbs feedback, it gets quiet and sharp.”
You can tell pretty quickly when someone on the team has actually shipped code review software. The Greptile PR view has a summary, a diagram, inline comments, confidence indicators — they thought about how reviewers actually scan a PR, not just how to dump AI output into a comment box.
But day one is loud. There's a lot of feedback. Some of it is gold. Some of it is the kind of comment a junior engineer would leave on a 5-line PR. CodeRabbit has the same problem, honestly. Both tools need calibration time.
The thumbs-up flow is the trick. Three weeks of consistent feedback and Greptile starts sounding like it knows your codebase. $30/seat for that, fine. The free trial is only 14 days, which feels short for a tool this dependent on context.
PR comment formatting, diagrams, and confidence pills feel hand-tuned — not the default Markdown a wrapper would output.
First hour is fine. Month three is when the trained model finally feels like a teammate.
Comments live in GitHub/GitLab so mobile experience inherits theirs — Greptile itself has no separate mobile surface.
GitHub install is fast, but the first week is loud — you feel the noise before you feel the signal.
Comments arrive consistently within minutes of PR open; no public uptime page found, but no horror stories either.
Engineering teams who can spend two to three weeks training the tool to their voice and want sharper review than diff-only AI gives.
You want code review that works perfectly on day one without team-level training feedback.
Three green flags, two yellow ones — YC W24 is young, but the team is shipping.
“The pitch is real and the differentiation against CodeRabbit holds. Two things missing from the public site keep me from going higher: SOC 2 status and a self-hosted option.”
YC W24. Founded 2023. $30/seat. Three signals that match early-survivor patterns more than early-shutdown ones.
Green flags. Active changelog. Inline comments with confidence scores — not the generic 'AI explained your PR' wrapper a hackathon team would ship. Repo-graph indexing is technically harder than diff parsing, which suggests at least one founder knows what they're building.
Yellow flags. No SOC 2 or self-hosted option visible — enterprise sales will hit that wall soon. The category is crowded — CodeRabbit, Sourcery, Sweep, GitHub Copilot Reviews. Two will survive. Greptile has the indexing differentiator, but distribution wins these races more often than craft does.
Repo-graph indexing is real differentiation vs CodeRabbit; questionable whether it survives Copilot adding the same.
The index is theirs, but PR comments live in your GitHub/GitLab — leaving costs zero migration work.
No public funding round beyond YC; no enterprise SOC 2 listed; the next 18 months will tell us a lot.
Pricing page is direct, demo is honest, no hyperbolic 'best in class' superlatives — refreshingly grounded.
YC W24 plus a 12-month changelog matches early-survivor patterns; founded 2023 still means anything can happen.
Teams who can absorb a 2-year-old vendor risk in exchange for the indexing differentiation.
You need SOC 2 today or your security team requires self-hosted code analysis tooling.
Common questions answered by our AI research team
Greptile's Pro plan costs $30 per seat per month, including 50 credits per seat. The Starter plan is free for individual developers with 50 credits per month.
Additional credits beyond the included 50 per seat cost $1 each. One standard review uses 1 credit, while one TREX review uses 3 credits.
Yes, Greptile integrates seamlessly with GitLab in addition to GitHub.
Yes, Greptile can be self-hosted in your own AWS environment, and you can even use your own LLM providers for added flexibility. Enterprise plans also offer self-hosting in your own infrastructure.
Greptile fully supports Python, JavaScript, TypeScript, Go, Elixir, Java, C, C++, C#, Swift, PHP, and Rust. Most other languages are supported but with slightly lower response quality.
AI Code Reviews that understand your entire codebase. Automate PR reviews, catch bugs faster, improve code quality with AI-driven analysis. Try Greptile free!
