Greptile
AI code review platform that builds a graph index of your entire repository, then runs a swarm of parallel agents to assess each pull request against the whole codebase rather than the diff alone.
Free trial
14-Day Free Trial • Free for Open Source • From $24/user/mo
CATEGORIES
AI CODING & DEVELOPMENT
ROLES & STACK
GRAPH INDEXING
AGENT SWARM
SELF-HOSTABLE
PRICING & TRIAL
STARTER FREE (50 CREDITS)
The Bottom Line
Greptile is ranked #5 in our AI Coding & Development category. Graph-indexed AI code review with parallel agents and full-codebase context. We rate it 4.8/5.
Best for
Engineering teams reviewing pull requests on GitHub or GitLab who want AST-aware, context-mapped feedback; open-source projects, which the platform is free for.
Considerations
Engineering teams reviewing pull requests on GitHub or GitLab who want AST-aware, context-mapped feedback; open-source projects, which the platform is free for.
Open-source repos
Free forever
Setup
Under 2 minutes, no card
Git providers
GitHub and GitLab
Executive Summary & Independent Verdict
Greptile describes itself as “AI agents that review and test pull requests with full context of the codebase”, and the phrase that matters in that sentence is full context.
Most automated reviewers read a diff. Greptile reads the repository first. It indexes your codebase by building “a graph of your repo – files, functions, and dependencies”, then deploys a swarm of parallel agents that “review changes, assess their impact beyond the diff, and flag issues.” Over time it reads engineer comments on its own reviews to learn your coding standards.
Core Technology: Abstract Syntax Tree (AST) vs Raw Diff Scanning
Traditional code review bots suffer from high false-positive rates because they operate strictly on raw text diffs without understanding application runtime context. When a pull request modifies a shared utility function, raw diff scanners evaluate the changed lines in isolation without verifying downstream callers.
That architecture produces a specific and well-documented trade-off, and an honest review has to lead with it: Greptile is repeatedly reported as catching more issues than competitors in a single pass, while also producing more false positives. Depth and noise come from the same design decision.
- Full-Repository AST Indexing: Upon receiving a GitHub or GitLab webhook trigger, Greptile builds a semantic call graph representing your codebase symbols, exported types, and package exports.
- Context-Aware Delta Calculation: Instead of reading only modified lines, CodeRabbit traces data flow from upstream API handlers down to database ORM models.
- Deterministic Static Analysis Overlay: Greptile passes AST structural hints to LLM prompts, ensuring the AI does not hallucinate non-existent properties or invalid function parameters.
Greptile
AI Coding & Development
Developer:
Greptile Inc. (YC S23, Daksh Gupta)
Supported VCS:
GitHub, GitLab, Bitbucket, Azure DevOps
Review Engine:
AST Semantic Analysis & One-Click Patches
Security & Privacy:
SOC 2 Type II Certified, Zero Code Retention
Greptile
AI Coding & Development
AI code review platform that builds a graph index of your entire repository, then runs a swarm of parallel agents to assess each pull request against the whole codebase rather than the diff alone.
Starter free (50 credits) • Pro $30/seat/mo • Enterprise custom
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