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How CodeRabbit’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score37/100

Agent-ready 34.8 × 0.30 = 10.44

API quality 25.7 × 0.20 = 5.14

Openness 25.2 × 0.20 = 5.04

Built-in AI 77.8 × 0.15 = 11.67

Automation 28.5 × 0.15 = 4.27

(10.44 + 5.14 + 5.04 + 11.67 + 4.27) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 36.56 ÷ 1.00 = 36.6

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready34.8/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://docs.coderabbit.ai/llms.txtPROBE llms.txt: HTTP 200 at https://docs.coderabbit.ai/llms.txt # CodeRabbit - [Agentic Change Management](https://docs.coderabbit.ai/index.md): Review, prioritize, understand, and se
  • [claimed-docs] https://docs.coderabbit.aiAutomated, context-aware code reviews. Catches bugs, enforces standards, and learns from your team's feedback.

Run the product headlessly / in CI for automationweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.coderabbit.ai/cli/Get AI code reviews directly in your CLI before you commit. Catch race conditions, memory leaks, and security vulnerabilities without leaving your development environment.
  • [claimed-docs] https://docs.coderabbit.ai/overview/ide-cli-review.mdReview your code in IDE or CLI before pushing it to the repo
  • [claimed-docs] https://docs.coderabbit.ai/overview/ide-cli-review.mdCodeRabbit brings AI-powered code reviews directly into your development environment, no pull request required. Review uncommitted changes as you code, apply fixes instantly
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/cicd-pipeline-analysis.mdWhen a CI/CD pipeline fails on a pull request, CodeRabbit reads the failure output and posts inline comments with suggested fixes — directly on the lines of code that caused the failure.
  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key
  • [probe] https://docs.coderabbit.ai/cli/official CLI documented at https://docs.coderabbit.ai/cli/
  • [claimed-docs] https://docs.coderabbit.ai/overview/pull-request-review.mdWithin moments of opening a pull request, CodeRabbit analyzes your code with multiple AI models and provides actionable feedback, catching issues that are easy to miss in manual reviews.

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/mcp-contextUse MCP servers as a knowledge source to give CodeRabbit additional context from your documentation systems, design tools, and project management platforms during reviews and chat.

Connect an agent via an official MCP serverweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/mcp-contextUse MCP servers as a knowledge source to give CodeRabbit additional context from your documentation systems, design tools, and project management platforms during reviews and chat.
  • [claimed-docs] https://www.coderabbit.ai/pricingMCP connections

Use an official CLIweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.coderabbit.ai/cli/Get AI code reviews directly in your CLI before you commit. Catch race conditions, memory leaks, and security vulnerabilities without leaving your development environment.
  • [claimed-docs] https://docs.coderabbit.ai/overview/ide-cli-review.mdReview your code in IDE or CLI before pushing it to the repo
  • [claimed-docs] https://docs.coderabbit.ai/overview/ide-cli-review.mdCodeRabbit brings AI-powered code reviews directly into your development environment, no pull request required. Review uncommitted changes as you code, apply fixes instantly
  • [claimed-docs] https://docs.coderabbit.ai/cli/claude-code-integrationClaude Code can trigger CodeRabbit reviews directly through simple commands, enabling you to build features, run code reviews, and fix issues without manual intervention.
  • [probe] https://docs.coderabbit.ai/cli/official CLI documented at https://docs.coderabbit.ai/cli/

Drive the product through a documented public APIweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key
  • [probe] https://docs.coderabbit.ai/cli/official CLI documented at https://docs.coderabbit.ai/cli/
  • [claimed-docs] https://docs.coderabbit.ai/cli/Get AI code reviews directly in your CLI before you commit. Catch race conditions, memory leaks, and security vulnerabilities without leaving your development environment.

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Build against official SDKsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key
  • [probe] https://docs.coderabbit.ai/cli/official CLI documented at https://docs.coderabbit.ai/cli/

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Agent-ready = 73.0 ÷ 210 × 100 = 34.8

API quality25.7/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

  • [community] https://news.ycombinator.com/item?id=44953032While running the exploit, CodeRabbit would still review our pull request and post a comment saying it detected a critical security risk, yet the application would happily execute our code because it wouldn't understand this was actually running on their production system.
  • [claimed-docs] https://docs.coderabbit.ai/security/indexAI Deep Scan is a separately metered scan that analyzes committed source code and infrastructure configuration for exploitable vulnerabilities and exposed secrets beyond the current pull request diff.
  • [claimed-docs] https://docs.coderabbit.ai/self-hosted/overviewSelf-hosted CodeRabbit runs the CodeRabbit review agent inside your own infrastructure instead of CodeRabbit's cloud.

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key

API quality = 18.0 ÷ 70 × 100 = 25.7

Openness25.2/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [probe] https://docs.coderabbit.ai/openapi.jsonPROBE openapi: HTTP 200 at https://docs.coderabbit.ai/openapi.json — contains "openapi" key
  • [probe] https://docs.coderabbit.ai/cli/official CLI documented at https://docs.coderabbit.ai/cli/
  • [claimed-docs] https://docs.coderabbit.ai/guides/dashboardDashboard guide: "The CodeRabbit Dashboard provides visibility into your team's review speed, code quality, collaboration patterns, and the impact of AI-assisted reviews. Use the dashboard to track performance, identify bottlenecks, and measure the ROI of CodeRabbit across your organization." A companion page defines every Git-platform review metric.
  • [claimed-docs] https://docs.coderabbit.aiTriage — a self-updating cross-repository queue that prioritizes pull requests by value and risk, so you always know what to review next.

Export all of my data in open formats and leaveweight 3

3 (weight) × 2 (quality) × 0.6 (partial) = 3.6 of 30 max

  • [claimed-docs] https://docs.coderabbit.ai/getting-started/yaml-configurationUse the `@coderabbitai configuration` command on any PR to get the resolved configuration in YAML format.
  • [claimed-docs] https://docs.coderabbit.ai/faqFAQ, data retention controls: "Data retention only affects storage of code-related data such as learnings and review context"; "On self-hosted CodeRabbit (available for Enterprise), you can opt out of all data retention at any time"; model output logging is a separate, controllable setting.

Read the product's source under an open licenseweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 6 (quality) × 1.0 (full) = 18.0 of 30 max

  • [claimed-docs] https://docs.coderabbit.ai/self-hosted/overviewSelf-hosted CodeRabbit runs the CodeRabbit review agent inside your own infrastructure instead of CodeRabbit's cloud.
  • [claimed-docs] https://docs.coderabbit.ai/faqFAQ, data retention controls: "Data retention only affects storage of code-related data such as learnings and review context"; "On self-hosted CodeRabbit (available for Enterprise), you can opt out of all data retention at any time"; model output logging is a separate, controllable setting.

Openness = 25.2 ÷ 100 × 100 = 25.2

Built-in AI77.8/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [claimed-docs] https://docs.coderabbit.aiAutomated, context-aware code reviews. Catches bugs, enforces standards, and learns from your team's feedback.
  • [claimed-docs] https://docs.coderabbit.aiUnderstand large diffs as logical cohorts and layers, with range-specific summaries and diagrams that show how each change fits together.
  • [claimed-docs] https://docs.coderabbit.ai/overview/pull-request-review.mdSpot potential runtime errors, null pointer exceptions, race conditions, and logic flaws before deployment
  • [claimed-docs] https://docs.coderabbit.ai/guide/improvements.mdOne of CodeRabbit's powerful features is its ability to not just identify issues, but also generate the code changes needed to fix them.
  • [claimed-docs] https://docs.coderabbit.ai/overview/pull-request-review.mdWithin moments of opening a pull request, CodeRabbit analyzes your code with multiple AI models and provides actionable feedback, catching issues that are easy to miss in manual reviews.
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/summaries.mdCodeRabbit appends a generated summary to the bottom of the PR description after a review. The summary groups changes by type
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/walkthroughs.mdEvery time CodeRabbit reviews a pull request, it posts a **walkthrough comment** — a structured overview of the changes that appears at the top of the PR comment thread
  • [claimed-docs] https://docs.coderabbit.ai/guide/chatyou can ask follow-up questions, request clarifications, challenge recommendations, or explore alternative approaches
  • [community] https://news.ycombinator.com/item?id=44953032I've noticed CodeRabbit at times does reviews that are super. It is able to catch bugs that even claude code misses on our Github PRs. Blows my mind at times tbh.
  • [community] https://news.ycombinator.com/item?id=45264392I enabled coderabbit on a few of my open source repos and experience is pretty good, it's better than expected, best of the limited number of code review tools I have experience with. Having an extra active 'maintainer' (even if ai) just adds a bit of extra confidence.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.coderabbit.ai/configuration/auto-reviewyou can disable reviews globally and re-enable them by keyword or label, apply them only to certain branches, skip draft PRs, and pause after a set number of commits
  • [claimed-docs] https://docs.coderabbit.ai/triage/slack.mdGet your Triage queue as a scheduled digest, send reviewer requests to the people who should act on them, and approve or close a pull request without leaving Slack.
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/cicd-pipeline-analysis.mdWhen a CI/CD pipeline fails on a pull request, CodeRabbit reads the failure output and posts inline comments with suggested fixes — directly on the lines of code that caused the failure.
  • [claimed-docs] https://docs.coderabbit.ai/finishing-touches/indexOne-click agentic actions that polish and extend your pull requests or merge requests: fix review findings, resolve merge conflicts, generate unit tests, simplify code, run any custom recipes.
  • [claimed-docs] https://docs.coderabbit.ai/issues/pr-validation.mdCodeRabbit provides intelligent assessment of linked issues to validate whether pull requests properly address their requirements.
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/slop-detection.mdAutomatically detect low-quality, AI-generated 'Slop' pull requests on GitHub repositories.
  • [claimed-docs] https://docs.coderabbit.ai/guides/commands.mdPause, resume, ignore reviews, request manual reviews, resolve comments, request approval, and update pull request summaries using @coderabbitai commands.

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://docs.coderabbit.ai/guide/chatyou can ask follow-up questions, request clarifications, challenge recommendations, or explore alternative approaches
  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/learningsTeach CodeRabbit your review preferences using natural-language chat.
  • [claimed-docs] https://docs.coderabbit.ai/finishing-touches/indexOne-click agentic actions that polish and extend your pull requests or merge requests: fix review findings, resolve merge conflicts, generate unit tests, simplify code, run any custom recipes.
  • [claimed-docs] https://docs.coderabbit.ai/overview/slack-agentInvestigate — Ask questions about your codebase, trace features, and cross-reference Sentry errors with merged PRs and Jira issues, all in natural language.
  • [claimed-docs] https://docs.coderabbit.ai/reference/review-commands@coderabbitai review does incremental review (new changes), not a full review. Use @coderabbitai full review when you want a complete pass over the entire pull request.
  • [claimed-docs] https://docs.coderabbit.ai/cli/Get AI code reviews directly in your CLI before you commit. Catch race conditions, memory leaks, and security vulnerabilities without leaving your development environment.
  • [community] https://news.ycombinator.com/item?id=44953032I've noticed CodeRabbit at times does reviews that are super. It is able to catch bugs that even claude code misses on our Github PRs. Blows my mind at times tbh.
  • [community] https://news.ycombinator.com/item?id=44953032We removed it as it was mostly too verbose, catching too many false positives and never really added anything useful.

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.coderabbit.ai/guide/chatyou can ask follow-up questions, request clarifications, challenge recommendations, or explore alternative approaches
  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/learningsTeach CodeRabbit your review preferences using natural-language chat.
  • [claimed-docs] https://docs.coderabbit.ai/overview/slack-agentInvestigate — Ask questions about your codebase, trace features, and cross-reference Sentry errors with merged PRs and Jira issues, all in natural language.
  • [claimed-docs] https://docs.coderabbit.ai/guides/commands.mdPause, resume, ignore reviews, request manual reviews, resolve comments, request approval, and update pull request summaries using @coderabbitai commands.
  • [claimed-docs] https://docs.coderabbit.ai/cli/claude-code-integrationClaude Code can trigger CodeRabbit reviews directly through simple commands, enabling you to build features, run code reviews, and fix issues without manual intervention.
  • [claimed-docs] https://docs.coderabbit.ai/reference/review-commands@coderabbitai review does incremental review (new changes), not a full review. Use @coderabbitai full review when you want a complete pass over the entire pull request.

Built-in AI = 70.0 ÷ 90 × 100 = 77.8

Automation28.5/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://docs.coderabbit.aiPrioritize your PR queue by value and risk, surface the changes that need attention, and route each pull request to the right reviewer.
  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/multi-repo-analysisLink related repositories so CodeRabbit can detect breaking changes, API mismatches, and dependency issues that cross repository boundaries during code review.
  • [claimed-docs] https://docs.coderabbit.ai/finishing-touches/indexOne-click agentic actions that polish and extend your pull requests or merge requests: fix review findings, resolve merge conflicts, generate unit tests, simplify code, run any custom recipes.
  • [claimed-docs] https://docs.coderabbit.ai/configuration/central-configurationMaintain CodeRabbit configuration for your entire organization in one dedicated repository. Create a `coderabbit` repository in your organization and add your `.coderabbit.yaml` file

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 7 (quality) × 0.6 (partial) = 12.6 of 30 max

  • [claimed-docs] https://docs.coderabbit.ai/configuration/path-instructionsPath instructions apply targeted guidance to specific paths, such as security checks for API controllers, coverage requirements for tests, or clarity rules for documentation.
  • [claimed-docs] https://docs.coderabbit.ai/configuration/ast-grep-instructionsCodeRabbit supports review instructions based on Abstract Syntax Tree (AST) patterns, powered by ast-grep
  • [claimed-docs] https://docs.coderabbit.ai/configuration/auto-reviewyou can disable reviews globally and re-enable them by keyword or label, apply them only to certain branches, skip draft PRs, and pause after a set number of commits
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/cicd-pipeline-analysis.mdWhen a CI/CD pipeline fails on a pull request, CodeRabbit reads the failure output and posts inline comments with suggested fixes — directly on the lines of code that caused the failure.
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/request-changes-workflow.mdUse request changes workflow to keep review decisions synchronized with resolved feedback, completed reviews, and Pre-Merge Checks.
  • [claimed-docs] https://docs.coderabbit.ai/pr-reviews/slop-detection.mdAutomatically detect low-quality, AI-generated 'Slop' pull requests on GitHub repositories.

Schedule recurring jobs or workflowsweight 2

2 (weight) × 3 (quality) × 0.6 (partial) = 3.6 of 20 max

  • [claimed-docs] https://docs.coderabbit.ai/triage/slack.mdGet your Triage queue as a scheduled digest, send reviewer requests to the people who should act on them, and approve or close a pull request without leaving Slack.
  • [claimed-docs] https://docs.coderabbit.aiTriage — a self-updating cross-repository queue that prioritizes pull requests by value and risk, so you always know what to review next.

Version, review, and roll back my automationsweight 1

1 (weight) × 3 (quality) × 0.6 (partial) = 1.8 of 10 max

  • [claimed-docs] https://docs.coderabbit.ai/configuration/central-configurationMaintain CodeRabbit configuration for your entire organization in one dedicated repository. Create a `coderabbit` repository in your organization and add your `.coderabbit.yaml` file
  • [claimed-docs] https://docs.coderabbit.ai/getting-started/yaml-configurationUse the `@coderabbitai configuration` command on any PR to get the resolved configuration in YAML format.
  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/learningsTeach CodeRabbit your review preferences using natural-language chat.
  • [claimed-docs] https://docs.coderabbit.ai/knowledge-base/learningsReview preferences CodeRabbit learns from your chat conversations and applies automatically to future reviews.

Automation = 22.8 ÷ 80 × 100 = 28.5