CodeRabbit

What CodeRabbit does

CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. The company is building AI-augmented quality gates, with a vision to redefine code reviews and augment every aspect of quality workflows. CodeRabbit uses machine learning algorithms to analyze codebases, identify potential issues, and suggest improvements based on best practices and coding standards. It also offers a planning feature that turns ideas, issues, PRDs, and designs into precise coding plans, grounded in the actual codebase.

Products

• CodeRabbit AgentAI-powered investigation, planning, and code changes right from Slack. It offers shared workspace knowledge, external tools, governed access, and scheduled or message-triggered automations.
• Code ReviewAutomated, context-aware code reviews that catch bugs, enforce standards, and learn from team feedback. It provides one-click fixes and continuous improvement for Pull Requests, in IDEs, and in the CLI.
• CodeRabbit PlanTurns ideas, issues, PRDs, and designs into precise coding plans. It provides research, tasks, and AI-ready prompts grounded in the actual codebase, which can then be handed off to coding agents.
• Web AppCodeRabbit accessible on GitHub, GitLab, Azure DevOps, and Bitbucket, with integrations for Jira and Linear for issue tracking and planning.
• Agent for SlackAllows users to ask questions, generate plans, create issues, and open PRs from any Slack channel, thread, or DM.
• CLI ToolProvides pre-commit reviews from the command line, compatible with various coding agents.
• IDE ExtensionEnables code review as it's being written with extensions for VS Code, Cursor, and Windsurf, offering instant feedback without leaving the editor.

Key capabilities

• Context-aware, human-like code reviews
• AI-driven platform
• Improves code quality
• Reduces manual code review time and effort
• Enables faster software shipping
• Linters and SAST tools support
• Jira & Linear Integrations
• Agentic chat with CodeRabbit
• Product analytics dashboards
• Customizable reports
• Docstring generation
• MCP connections
• Linked repository analysis
• Built-in pre-merge checks
• Finishing Touches: Docstring and Autofix
• Custom pre-merge checks
• Finishing touches: UTG, simplify, merge conflict resolution
• Issue planner
• Higher limits across the product (Pro Plus)
• Custom RBAC, SSO and audit logging (Enterprise)
• API access (Enterprise)
• Self-hosting option (Enterprise)
• Multi-org support (Enterprise)
• SLA support (Enterprise)
• Technical enablement and dedicated CSM (Enterprise)
• Pay via Claude/AWS/GCP marketplace (Enterprise)
• Vendor security review and agreement redlines (Enterprise)
• Custom setup including ALB, etc. (Enterprise)
• EU SaaS deployment (Enterprise)
• Usage-based add-on for unrestricted CLI and PR Reviews
• Unlimited code reviews across every agentic coding loop
• Full control over usage and scaling through the dashboard
• Flexible purchase options (one-time & monthly subscription)
• PR summarization
• Reviews in IDE/CLI
• Automated, context-aware code reviews
• Catches bugs
• Enforces standards
• Learns from team feedback
• One-click fixes
• Continuous improvement
• Turn ideas, issues, PRDs, and designs into precise Coding Plans
• Research, tasks, and AI-ready prompts grounded in codebase
• Integrates with Git platforms (GitHub, GitLab, Azure DevOps, Bitbucket)
• Real-time feedback in IDE
• Reviews from the command line
• AI-powered coding assistance in Slack
• Collaborative planning interface
• Editable AI-generated plans
• Configurable rule sets for plan generation

Use cases

• Improving code quality
• Reducing time and effort for manual code reviews
• Shipping software faster
• Investigating incidents
• Troubleshooting customer tickets
• Automating recurring tasks
• Responding to alerts with triggers
• Planning features and breaking down work
• Generating code and opening pull requests
• Summarizing progress and reporting instantly
• Defining scope, assumptions, and success criteria before code is written
• Generating structured coding plans from text prompts and tickets
• Aligning teams on coding approach before code generation
• Reducing rework of generated code
• Increasing AI adoption and reducing learning curve for prompting agents
• Streamlining code reviews
• Accelerating development
• Enhancing code quality
• Boosting merge confidence
• Reducing bugs
• Improving onboarding for new engineers

AI approach

CodeRabbit uses machine learning algorithms to analyze codebases, identify issues, and suggest improvements based on best practices and coding standards. It provides AI-driven code reviews, planning, and assistance in various development environments. The company states it builds "AI-augmented quality gates" and aims to "leverage and augment every aspect of quality workflows." It also states it doesn't train on customer's proprietary code.

Tech named: machine learning algorithms, Claude, AWS, GCP, Cursor, Codex, Gemini, GitHub Copilot

Industries served

• Software Development
• Robotics

What it says sets it apart

• AI-driven platform for context-aware, human-like code reviews
• Focus on AI-augmented quality gates
• Reduces friction and accelerates workflow by defining scope and assumptions before code is written
• Collaborative planning feature for team alignment on coding plans
• No lock-in for coding agents, allowing hand-off to any agent
• SOC 2 Type 2 and GDPR certified
• Does not train on customer's proprietary code
• Comprehensive support including documentation, tutorials, and dedicated support team
• Free reviews forever for public repositories for open-source projects