Quick Verdict
Benchmark Leaderboard (March 2026)
- CodeRabbit (#1): 51.5% F1, 50.5% precision, 52.5% recall, 317,301 reviews processed
- Greptile (#2): 50.2% F1, 66.2% precision, 40.4% recall, 52,699 reviews processed
- Key tradeoff: CodeRabbit catches more issues but generates more noise. Greptile catches fewer issues but most comments are actionable.
CodeRabbit is the right pick for teams that want maximum bug coverage and can tolerate more review noise. It supports four platforms (GitHub, GitLab, Bitbucket, Azure DevOps), has processed 13M+ PRs, and offers granular configuration through .coderabbit.yaml.
Greptile is the right pick for teams that value signal-to-noise ratio and need full-codebase understanding. Its 66.2% precision means two-thirds of its comments point to real problems. The agentic investigation engine traces dependencies across your entire repository, catching issues that diff-only reviewers miss.
Feature Comparison
| Feature | CodeRabbit | Greptile |
|---|---|---|
| Benchmark Rank | #1 overall | #2 overall |
| F1 Score | 51.5% | 50.2% |
| Precision | 50.5% | 66.2% |
| Recall | 52.5% | 40.4% |
| Reviews Processed | 317,301 | 52,699 |
| Platforms | GitHub, GitLab, Bitbucket, Azure DevOps | GitHub, GitLab |
| Codebase Understanding | PR diff + incremental context | Full code graph, multi-hop investigation |
| Configuration | .coderabbit.yaml with path instructions | English rules + markdown files |
| Confidence Scores | No | Yes, per-comment |
| API Access | No | Yes, REST API |
| Self-Hosted | Yes (Enterprise) | Yes (AWS, GCP, Azure, air-gapped) |
| SOC 2 Type II | Yes | Not published |
| Pricing (per dev/mo) | $24 annual / $30 monthly | $30 (includes 50 reviews) |
| Free Tier | Yes (rate-limited) | Open-source projects |
The Precision vs Recall Tradeoff
This is the defining difference between CodeRabbit and Greptile, and it maps directly to how your team reviews code.
What Precision Means for Code Review
Precision measures what fraction of the tool's comments identify real issues. Greptile's 66.2% precision means roughly 2 out of 3 comments flag something worth fixing. CodeRabbit's 50.5% precision means about 1 in 2. In practice, higher precision means less time dismissing irrelevant feedback.
Greptile achieves this through its agentic investigation. Instead of pattern-matching the diff, it traces the change through the code graph, checks how functions are called elsewhere, and validates its hypotheses before commenting. Each comment includes a confidence score so developers can triage by certainty.
What Recall Means for Code Review
Recall measures what fraction of real issues the tool actually catches. CodeRabbit's 52.5% recall vs Greptile's 40.4% means CodeRabbit finds roughly 30% more issues. For teams where missing a bug is costlier than reviewing extra comments, CodeRabbit's higher recall is the better tradeoff.
CodeRabbit compensates for lower precision with volume. It has processed 6x more reviews (317K vs 53K), and its incremental learning from team feedback helps calibrate over time. The .coderabbit.yaml path instructions let you tune strictness per directory, reducing noise in areas where you need less scrutiny.
High Recall (CodeRabbit)
Catches 52.5% of real issues. Better for security-critical code, compliance-heavy environments, and teams that would rather review extra comments than miss a bug.
High Precision (Greptile)
66.2% of comments are actionable. Better for teams with limited review bandwidth, fast-moving startups, and codebases where review fatigue is a problem.
Volume Context
CodeRabbit has processed 6x more reviews (317K vs 53K). Larger sample sizes generally produce more stable benchmark numbers. Greptile's precision advantage is notable but measured on a smaller dataset.
Pricing
CodeRabbit: Per-Seat Subscription
CodeRabbit uses a per-developer subscription model. The free tier is functional for evaluation with rate limits (200 files/hour, 4 PR reviews/hour).
- Free: Rate-limited reviews, unlimited public/private repos, 200 files/hour, 4 reviews/hour
- Pro ($24/dev/month annual, $30 monthly): Unlimited reviews, path instructions, integrations with Jira/Linear, PR summary and release notes
- Enterprise (custom, ~$15K/month for 500+ users): Self-hosted, SSO/SAML, SOC 2 Type II, dedicated support, compliance features
Greptile: Reviews-Based Pricing
Greptile bundles 50 reviews per developer per month, then charges $1 per additional review. This can be cheaper or more expensive than CodeRabbit depending on PR volume.
- Standard ($30/dev/month): 50 reviews/month included, additional reviews $1 each, full code graph, confidence scores
- Enterprise (custom): Self-hosted on AWS/GCP/Azure, air-gapped environments, 500+ seat minimum, custom LLM configuration
| Team Size | Monthly PRs/Dev | CodeRabbit Cost | Greptile Cost |
|---|---|---|---|
| 10 devs | 30 PRs | $240/mo | $300/mo |
| 10 devs | 50 PRs | $240/mo | $300/mo |
| 10 devs | 80 PRs | $240/mo | $600/mo |
| 50 devs | 50 PRs | $1,200/mo | $1,500/mo |
| 50 devs | 100 PRs | $1,200/mo | $4,000/mo |
Cost Breakpoint
CodeRabbit is cheaper at any PR volume because it charges a flat per-seat rate. Greptile becomes significantly more expensive for teams that ship more than 50 PRs per developer per month. Teams that average 30-40 PRs/dev/month pay a similar amount on both.
Customization and Rules
CodeRabbit: .coderabbit.yaml
CodeRabbit's configuration lives in a .coderabbit.yaml file in your repository root. The most powerful feature is path_instructions, which lets you scope review rules to specific file patterns:
# .coderabbit.yaml
review:
path_instructions:
- path: "**/*.go"
instructions: |
Check for unhandled errors.
Verify concurrency safety.
- path: "src/api/**"
instructions: |
Validate input sanitization.
Check auth middleware usage.
- path: "**/*_test.go"
instructions: |
Ensure table-driven tests.
Check edge cases.You can also configure review preferences (auto-review on PR creation, review profile), language settings, and integration options with Jira, Linear, and GitHub Issues. The bot learns from how your team interacts with its comments, refining future reviews based on which suggestions get accepted or dismissed.
Greptile: English Rules + Learned Patterns
Greptile takes a different approach. You write rules in plain English or point the tool to a markdown file with your team's best practices. Rules can be scoped to specific repositories, file paths, or code patterns.
Beyond explicit rules, Greptile learns from your team's PR comments. It reads every engineer's review comments, replies, and reactions, and infers coding standards and conventions. This implicit learning means the tool gets better calibrated to your team over time without manual configuration.
CodeRabbit: Declarative Config
YAML-based, version-controlled, path-scoped rules. Explicit and auditable. Changes go through code review like any other config file.
Greptile: Adaptive Learning
English-language rules plus implicit learning from team behavior. Less configuration overhead, but harder to audit exactly what rules the system has learned.
Platform Integration
CodeRabbit has the broadest platform support of any AI code review tool. It works with GitHub, GitLab (including self-managed instances), Bitbucket Cloud, and Azure DevOps. This makes it the default choice for teams not on GitHub.
Greptile supports GitHub and GitLab. No Bitbucket or Azure DevOps support. If your team is on either of those platforms, CodeRabbit is the only option between these two.
| Platform | CodeRabbit | Greptile |
|---|---|---|
| GitHub | Yes | Yes |
| GitLab (cloud) | Yes | Yes |
| GitLab (self-managed) | Yes | Yes |
| Bitbucket Cloud | Yes (beta) | No |
| Azure DevOps | Yes | No |
| Jira | Yes | Yes |
| Linear | Yes | No |
| Slack | No | Yes |
| Sentry | No | Yes (via API) |
| VS Code | No | Yes |
Greptile compensates with integrations CodeRabbit lacks. Its API lets teams connect to Sentry for alert diagnosis, test pipelines for fix suggestions, and documentation tools for auto-generated wiki articles. Greptile's VS Code extension brings codebase-aware search into the IDE.
When CodeRabbit Wins
Maximum Bug Coverage
52.5% recall catches 30% more issues than Greptile's 40.4%. For security-critical code or compliance environments where missing a bug has high cost, CodeRabbit's higher recall is worth the extra noise.
Non-GitHub Platforms
CodeRabbit supports GitHub, GitLab, Bitbucket, and Azure DevOps. Greptile only supports GitHub and GitLab. If your team uses Bitbucket or Azure DevOps, CodeRabbit is the only viable option.
Enterprise Compliance
SOC 2 Type II certification, self-hosted deployment, SSO/SAML. 2M+ repositories connected, 13M+ PRs processed. The scale and compliance story is stronger for enterprise procurement.
Granular Path Rules
.coderabbit.yaml supports path_instructions for scoping rules to directories and file types. Version-controlled, auditable, and review-able like code. Useful for monorepos with different standards per package.
When Greptile Wins
Precision-First Teams
66.2% precision means 2 out of 3 comments flag real issues. Teams with limited review bandwidth or severe review fatigue benefit from Greptile's higher signal-to-noise ratio.
Full Codebase Context
Greptile indexes your entire repository and builds a code graph. Its multi-hop investigation traces dependencies across files, catching issues that diff-only reviewers miss entirely.
API-First Workflows
Greptile's REST API lets teams build custom integrations: connect to Sentry for alert diagnosis, trigger reviews from CI pipelines, or build internal tools with codebase-aware search.
Confidence-Based Triage
Per-comment confidence scores let developers prioritize high-certainty findings and skip low-confidence suggestions. After v4, 43% of Greptile comments get addressed by developers (up from 30%).
WarpGrep: Semantic Search Powering Code Review Agents
Both CodeRabbit and Greptile solve code review. The bottleneck underneath both is the same: how quickly and accurately can an AI find relevant code across a large repository?
Morph WarpGrep is the semantic search layer that code review agents (and any AI coding tool) use to understand codebases. It achieves 0.73 F1 in 3.8 steps on the SWE-Bench codebase retrieval benchmark, running 8 parallel tool calls per turn across 4 turns, completing searches in under 6 seconds.
WarpGrep works as an MCP server that integrates with any AI tool. Pair it with Morph Fast Apply for 10,500+ tok/s code edits, and you have the infrastructure layer that makes code review agents faster and more accurate. The same semantic search that powers review can power AI code review, refactoring, and codebase Q&A.
Frequently Asked Questions
Which AI code review tool has higher accuracy, CodeRabbit or Greptile?
It depends on what you mean by accuracy. CodeRabbit has a higher F1 score (51.5% vs 50.2%) and catches more issues (52.5% recall). Greptile has higher precision (66.2% vs 50.5%), meaning a larger fraction of its comments identify real problems. CodeRabbit finds more bugs overall; Greptile wastes less of your time.
Does Greptile support Bitbucket or Azure DevOps?
No. Greptile currently supports GitHub and GitLab only. CodeRabbit supports GitHub, GitLab, Bitbucket Cloud, and Azure DevOps. If your team uses Bitbucket or Azure DevOps, CodeRabbit is the only option between these two.
How much does CodeRabbit cost per developer?
CodeRabbit Free includes rate-limited reviews (200 files/hour, 4 reviews/hour). Pro costs $24/month per developer on annual billing, or $30/month on monthly billing. Enterprise pricing starts around $15,000/month for 500+ users and includes self-hosting.
How much does Greptile cost per developer?
Greptile costs $30/developer/month, which includes 50 reviews. Additional reviews cost $1 each. Annual discounts are available. Self-hosted and enterprise pricing require contacting sales.
What is Greptile's confidence score?
Each Greptile review comment includes a confidence score indicating how certain the tool is about the finding. High-confidence comments typically flag real bugs. Lower-confidence ones may be style suggestions or edge cases. After v4, 43% of Greptile comments get addressed by developers, up from 30% in v3.
Can CodeRabbit and Greptile be self-hosted?
Yes. CodeRabbit provides on-premise options with SOC 2 Type II certification. Greptile supports self-hosted deployment on AWS, GCP, Azure, and air-gapped environments, available for enterprises with 500+ seats.
What is CodeRabbit's .coderabbit.yaml file?
The .coderabbit.yaml file lives in your repository root and configures CodeRabbit's behavior. It supports path_instructions for scoping review rules to specific file patterns. You can also configure review preferences, language settings, and integration options.
How does Greptile understand the full codebase?
Greptile indexes your entire repository and builds a code graph mapping how functions, classes, files, and directories connect. When reviewing a PR, its agent traces dependencies across the codebase, checks git history, and follows leads across files. This multi-hop investigation catches issues that diff-only tools miss.
Related Reading
Semantic Code Search for Review Agents
WarpGrep's MCP server indexes your codebase for any AI tool. 0.73 F1 on SWE-Bench retrieval, 8 parallel tool calls per turn, sub-6s search. The search layer code review agents need.