Greptile
Greptile is an AI code reviewer for codebases. It first uses graph indexing to understand the entire repository, then dispatches a team of agents to review PRs in parallel and run tests automatically, and it can also learn the team's coding standards.
Updated: 2026-10-26
What is Greptile?
Greptile is an AI code reviewer for codebases. It is positioned to make Pull Request reviews faster and more accurate, and advocates using agents that understand the entire repository to fill the blind spots of manual reviews. It first builds a graph index for the repository, then uses a set of agents to review changes in parallel, and can continuously learn coding standards based on team comments. The official claims that it can help teams double or triple their merge speed and discover more defects that should not have been merged.
Who is it for?
- Engineering teams with large codebases where manual reviews cannot cover all impacts, requiring systematic reviews rather than blind line-by-line checks.
- Technical leaders and architects who want consistent review standards that do not drift due to different reviewers.
- Teams already using coding AI agents such as Claude Code, Cursor, Codex, or Devin need a validation layer as a safety net.
- For enterprise users with security and compliance requirements who need self-hosting or SOC 2 compliance, you can keep the code review process in your own environment.
Key features
5Codebase Graph Indexing
Constructs a directed graph of files, functions and dependencies within the repository, giving code reviews a global perspective that goes beyond diffs to identify which modules are affected by a single change.
Parallel Agent Review
Multiple agents simultaneously check the changes, assess their scope of impact, and flag issues that humans might miss, speeding up the throughput of a single review round.
Continuous learning of team norms: Reads engineers' past PR comments, gradually understands and aligns with your coding standards, becoming more like a member of your team over time.
Custom Rules
Write your team's conventions in natural language, point to specific repository context, and enforce the patterns you truly care about on every PR.
Automatically test every PR
As a central verification layer, it collaborates with various coding agents to conduct unified validation of all code changes, serving as a unified gatekeeper for modifications.
How to use Greptile
- 1First connect Greptile to a core repository, let it build the index and observe the quality of suggestions across several PR rounds before expanding the scope.
- 2Document your team's frequent conventions with custom rules, so that the same standards are automatically enforced for every review and verbal reminders are reduced.
- 3Integrate it with the coding agents you are already using, for example, share review context via MCP to form a closed loop from review to modification.
- 4Prioritize cross-file logical defects identified, as these hidden issues are most likely to be overlooked by manual reviews when reviewers are fatigued.
- 5Provide feedback on false positives, allowing the system to improve with your historical comments and steadily boost the false positive rejection rate over time.
Traffic & popularity
Data month Sep 2026
Greptile receives about 82.9K visits per month and ranks #541,311 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct37.8%
- Search33.5%
- Referrals19.2%
- Social5.4%
- Display ads1.9%
- Other2.3%
Top countries
- United States38.6%
- India7.9%
- Brazil4.3%
- United Kingdom3.7%
- Germany3.1%
Estimated from third-party traffic data.
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