The AI review score
Exemplary design execution with token-disciplined UI and strong technical positioning. Mobile LCP reaches 10.1s due to unpreloaded hero media and pricing lacks decision support.
13 dimensions
Reviewed on Aug 28, 2026
coderabbit.ai
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Claim itWhat it does
AI-first pull request reviewer with context-aware feedback, line-by-line code suggestions, and real-time chat.
The AI review score
Exemplary design execution with token-disciplined UI and strong technical positioning. Mobile LCP reaches 10.1s due to unpreloaded hero media and pricing lacks decision support.
13 dimensions
Reviewed on Aug 28, 2026
Verified user rating
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No verified reviews yet — the evidence locker is empty.
Captured during our latest review on Aug 28, 2026
Prices shown are monthly-equivalent rates billed annually. Enterprise plan requires contacting sales. Billed monthly.
| Plan | Price | Details |
|---|---|---|
| Pro | $24 monthly per user | Agentic AI reviews on PRs & CLI, 1-click fixes, learnings, loops with coding agents, MCP connections, built-in pre-merge checks, agentic chat, linters and SAST tools support, Jira and Linear integrations. View source |
| Pro Plus | $48 monthly per user | All Pro plan features plus multi-repo analysis, custom pre-merge checks, finishing touches (unit tests, merge conflict resolution, simplify), post-merge actions, issue planner, and higher limits. View source |
AI-Driven Pull Request Reviews
Code Review
Automated context-aware feedback and line-by-line code suggestions on every PR.
Pull Request Prioritization
Workflow Management
Ranks PRs by priority (P0-P3) based on risk, reward, effort, and activity to help teams focus on critical work.
Agentic Change Management
Planning
Turns vague ideas into structured coding plans with context-rich prompts before code is written.
CLI Workflows
Developer Tools
Run agentic AI reviews and 1-click fixes directly from the command line.
Continuous Security Monitoring
Security
Scans repositories for security issues with per-PR security reviews and full repo scans.
Scaling code quality in fast-paced engineering environments
Teams needing to reduce merge time and review cycles without slowing delivery velocity.
Agentic coding workflows requiring structured plans
Developers using AI coding agents who need defined scope, assumptions, and success criteria before code is written.
Jira
Project management
Integration for issue tracking and workflow synchronization with pull requests and coding plans.
Linear
Project management
Integration for issue tracking and workflow synchronization with pull requests and coding plans.
GitHub Issues
Project management
Connect issue tracker to let CodeRabbit pick up tickets automatically for planning workflows.
Cursor
Developer tools
Export coding plans and context-rich prompts for use in the Cursor IDE.
VS Code
Developer tools
Export coding plans and context-rich prompts for use in the VS Code editor.
Windsurf
Developer tools
Export coding plans and context-rich prompts for use in the Windsurf IDE.
CodeRabbit earned an overall score of 77/100 on SiteList, categorizing it in the strong evaluation band based on 38 crawled pages.
CodeRabbit excels in design execution (94/100) and positioning (93/100), offering visual discipline, zero contrast failures, and clear technical copywriting.
CodeRabbit scored 35/100 in performance due to a mobile LCP of 10.1 seconds caused by unpreloaded hero images.
CodeRabbit scores 85/100 in technical SEO, featuring server-side rendering, standard security headers, and valid crawl directives.
Answers are based on SiteList's latest evidence review. Read the full review.
CodeRabbit earns a score of 77/100 on SiteList, anchored by exceptional design execution and developer-focused positioning. However, site performance is constrained by a 10.1-second mobile Largest Contentful Paint alongside unoptimized pricing decision surfaces.
77/100: strong technical product dragged by mobile speed
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