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Greptile

AI code review with full codebase context

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Greptile is a Y Combinator-backed AI code review tool that indexes your entire codebase to build a semantic code graph of functions, classes, and dependencies. Unlike diff-only reviewers, it catches cross-file issues, architectural drift, and convention violations with an 82% bug catch rate. Supports GitHub, GitLab, Jira, Slack, and VS Code. Offers cloud and self-hosted VPC deployment with SOC2 Type II compliance. Used by 250+ companies including Stripe and Amazon.

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A detailed review by the aicoolies team — click to read

Greptile is an AI code review tool that takes a fundamentally different approach from most competitors. Founded by Georgia Tech graduates and backed by Y Combinator with a $25 million Series A led by Benchmark Capital, Greptile indexes your entire repository to build a deep semantic understanding of your code's architecture, patterns, and dependencies before reviewing any pull request.

The core differentiator is full codebase indexing and code graph construction. When you connect a repository, Greptile creates a semantic map of every function, variable, class, file, and directory, understanding how they are all connected. This index is continuously updated as code changes, ensuring reviews always reflect the current state. The tool uses multi-hop investigation to trace dependencies, check git history, and follow leads across files.

This full-context approach catches issues that diff-only tools are fundamentally blind to, including cross-file dependency breaks, architectural drift, duplicate code, and convention violations. Independent benchmarks show an 82% bug catch rate, and the v4 release in early 2026 brought a 74% increase in addressed comments per PR and a 68% increase in positive developer replies.

Greptile integrates as a GitHub and GitLab pull request bot that automatically reviews new PRs with detailed findings. It provides PR summaries with sequence diagrams, supports conversational interaction where developers can request fix suggestions by replying with @greptileai, and offers configurable review focus to specify exactly what changes should receive comments.

Teams can write custom rules in plain English or point Greptile to a markdown file with best practices. The platform learns coding standards by reading every engineer's PR comments and tracks reactions to calibrate useful feedback. Pattern repos can be referenced through greptile.json for cross-repository standards.

Enterprise security includes SOC2 Type II compliance and data encryption at rest and in transit. Deployment options include cloud SaaS and self-hosted on-premises in an air-gapped VPC. The platform supports all mainstream programming languages including Python, JavaScript, TypeScript, Go, Java, Ruby, Rust, PHP, C++, and more.

Over 250 companies including Stripe, Amazon, PostHog, and Raycast use Greptile to review millions of code changes weekly. Additional integrations include Jira, Notion, Google Drive, Sentry, and Slack.

Pricing starts at $30/seat/month for the Pro plan with unlimited repositories and users, 50 included code reviews per seat, and $1 per additional code review. There is no general free tier, but qualified open-source projects and early-stage startups may receive free usage or discounts. Enterprise pricing with self-hosting, SSO/SAML, and dedicated support is available on request.

Pricing

Pro $30/seat/mo with 50 reviews included; $1/additional review; Enterprise custom; OSS/startup discounts

Platforms

GitHub, GitLab, VS Code, Slack, Jira

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Comparisons

CodeRabbit vs Greptile — Precision-First PR Review vs Full-Codebase Context

CodeRabbit and Greptile both promise to catch bugs before they reach production, but they make a fundamentally different trade-off: CodeRabbit optimizes for low noise and broad platform coverage, while Greptile indexes your entire codebase to maximize catch rate — even when that means more false positives to filter through.

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Cubic vs Greptile vs Graphite — AI Code Review Comparison

Three AI code review tools competing for engineering teams in 2026 take fundamentally different approaches. Cubic uses repository-wide analysis with micro-agent architecture to catch cross-file bugs, trusted by teams like cal.com and n8n. Greptile builds complete dependency graphs of entire codebases for the deepest context-aware reviews available. Graphite combines stacked PRs with an AI review agent that maintains under 3% unhelpful comment rate.

CubicGreptileGraphite

CodeAnt AI vs CodeRabbit vs Greptile — AI Code Review Comparison

AI code review tools in 2026 range from all-in-one security platforms to deep codebase-aware analyzers to widely adopted PR reviewers. CodeAnt AI bundles code review, SAST, secrets detection, and DORA metrics into a single subscription. Greptile indexes entire repositories to build dependency graphs for context-aware bug detection. CodeRabbit offers the broadest platform support with over two million connected repos across GitHub, GitLab, Bitbucket, and Azure DevOps.

CodeAnt AICodeRabbitGreptile

Greptile vs CodeRabbit vs GitHub Copilot — AI Code Review Comparison

AI code review has become a critical layer in the development pipeline as AI-generated code volumes surge and human review capacity remains flat. Greptile, CodeRabbit, and GitHub Copilot Code Review represent three fundamentally different approaches to the problem: full-codebase indexing for maximum depth, multi-linter AI synthesis for broad coverage, and ecosystem-native convenience for zero-friction adoption. This comparison examines their architectures, accuracy benchmarks, pricing, and ideal team profiles.

GreptileCodeRabbitGitHub Copilot