# CodeRabbit

- Status: Unclaimed: compiled by Nowen from public sources, not reviewed by the company
- Industry: Developer Tools
- Delivery model: software
- Website: https://coderabbit.ai
- AI agent profile: https://nowen.ai/agents/coderabbit-ai
- Updated: 2026-11-06
- Directory: one of 21 AI agents in Developer Tools (https://nowen.ai/industry/developer-tools)
- Read by AI assistants from: Perplexity, Meta, Amazon

> CodeRabbit helps engineering teams review, prioritize, understand, and secure software changes.

CodeRabbit helps engineering teams manage software changes as development accelerates through AI and automation. It provides independent review, prioritization, explainability, and security capabilities that help teams assess changes, maintain quality standards, and ship trustworthy software.

**Mission:** We make every software change trustworthy.

## Products & Services

### [CodeRabbit Review](https://www.coderabbit.ai/review)
*Product*
Helps teams catch issues, understand changes, and validate code before merge across pull requests and coding workflows.
CodeRabbit Review provides automated, context-aware code reviews for pull requests and changes made in IDEs, the CLI, and coding-agent workflows. It inspects changes for correctness, test coverage, security and policy risks, and incomplete work, using repository context and team guidance. Reviews include plain-language summaries and walkthroughs, while the workflow can provide sandbox evidence, learn from team corrections, support coding-agent fix loops, apply suggested changes, and automate checks and follow-up tasks. IDE and CLI reviews support staged and unstaged changes before a pull request, with inline feedback and coding-agent handoffs.

- **Automated code review** — Review Changes Automatically
- **Pre-commit change reviews** — Review Changes Before Pull Requests
- **Context-aware code analysis** — Ground Reviews In Codebase Context
- **Correctness and test coverage analysis** — Catch Defects And Test Gaps
- **Security and policy review** — Flag Security And Policy Risks
- **Independent multi-agent review** — Validate Changes Independently
- **Multi-surface review** — Review Across Development Workflows
- **Coding-agent integration and handoff** — Hand Off Review Context To Agents
- **Consistency and completeness review** — Spot Incomplete And Inconsistent Changes
- **Review summaries and walkthroughs** — Understand Pull Requests Faster
- **Sandbox verification** — Add Evidence To Suspected Findings
- **Team learning** — Apply Team Standards Across Reviews
- **Coding-agent review loops** — Review Fixes Before Human Review
- **Suggested code fixes** — Apply Suggested Fixes Quickly
- **Pre-merge checks** — Enforce Quality Gates Before Merge
- **Free IDE reviews** — Start Reviewing Without A Subscription
- **Finishing-touch automation** — Complete Routine Pull Request Work
- **Post-merge action automation** — Automate Post-Merge Follow-Up
- **Programming language coverage** — Review Code Across Languages

### [CodeRabbit Triage](https://www.coderabbit.ai/triage)
*Product*
Helps teams focus review attention on valuable, urgent, or risky pull requests and move work through the queue efficiently.
CodeRabbit Triage turns a growing pull request stream into an ordered, actionable queue. It scores and ranks PRs by value, impact, urgency, risk, and review effort, and surfaces stale PRs and work that may be closed. Teams can use a cross-repository Kanban queue with custom filters and saved views, route PRs to suitable reviewers, and review, repair, reassign, merge, close, or follow PRs from the queue. Slack features include scheduled queue digests, reviewer requests, and the ability to approve or close a PR. Advanced and Enterprise plans include security-informed prioritization.

- **Value and risk prioritization** — Prioritize High-Value And Risky PRs
- **Pull request guidance** — Identify PRs That Need Attention
- **PR queue management** — Organize PRs In One Queue
- **Reviewer routing** — Route PRs To Suitable Reviewers
- **Queue actions** — Act On PRs From The Queue
- **Duplicate work detection** — Spot Duplicate PR Work
- **Slack triage** — Manage PR Triage In Slack

### [CodeRabbit Explain](https://www.coderabbit.ai/pricing)
*Product*
Understand code changes in detail so reviewers can assess their impact and make informed decisions before shipping.
CodeRabbit Explain helps teams understand and assess code changes in detail. Its Change Stack workspace makes pull requests structured and navigable, while semantic diffs explain code edits, movement, and functional changes. Reviewers can inspect findings, ask questions about changes, files, and code, and—on eligible plans—see a pull request’s blast radius and architecture impact. CodeRabbit Explain also documents changes to help reviewers judge code before it ships.

- **Change documentation** — Understand Every Change
- **Structured change workspace** — Navigate Changes In One Workspace
- **Semantic diffs** — See What Changed And How
- **Change findings** — Assess Findings And Fix Priorities
- **Blast radius mapping** — Map Downstream Change Impact
- **Architecture impact review** — Understand System-Level Impacts
- **Code conversations** — Ask Questions About Code Changes
- **On-demand AI engineering** — Request Further Analysis Or Changes

### [CodeRabbit Secure](https://www.coderabbit.ai/security)
*Product*
Finds and verifies real security risks across code changes and repositories, helping teams prioritize and fix vulnerabilities before they are exploited.
CodeRabbit Secure uses security-focused agents and semantic analysis to identify vulnerabilities and exposed secrets in pull requests, committed code, and infrastructure configuration. It traces potential attack paths across code and linked repositories, assesses reachability and exploitability, and verifies findings before they reach teams. Deep Scans can run on demand or on a schedule, while ongoing reviews and delta scans keep coverage connected to code changes. For eligible findings, CodeRabbit can provide reviewable fixes, verify fixes after merge, and support runtime testing in a prepared environment. Repository administrators can also enforce merge checks for open critical findings.

- **Attack-path analysis** — Trace Exploitable Paths Across Code
- **Deep codebase scans** — Scan Committed Code And Infrastructure
- **Finding verification** — Verify Findings Before They Reach You
- **Pull request security reviews** — Review Security Risks Before Merge
- **Continuous security monitoring** — Keep Security Coverage Current
- **Runtime verification** — Test Findings In A Prepared Environment
- **Security merge checks** — Block Merges On Critical Findings
- **Reviewable vulnerability fixes** — Draft Reviewable Vulnerability Fixes
- **Cross-repository analysis** — Trace Risks Across Linked Repositories
- **Attack surface mapping** — Track Verified And Stale Areas
- **Fix verification and finding resolution** — Verify Fixes And Resolve Findings
- **Organization-wide security reporting** — Track Findings Across The Organization
- **Security architecture and blast radius analysis** — Assess Security Impact Beyond Changed Lines
- **Scan budget controls** — Control Deep Scan Spending
- **Security findings integrations** — Route Findings Into Existing Tools
- **Security tool compatibility** — Complement Existing Security Scanners

### [CodeRabbit Engineer](https://www.coderabbit.ai/agent)
*Product*
Resolve engineering work with connected context and a collaborative Slack agent, while keeping workflows governed and costs tied to active agent time.
CodeRabbit Engineer is an AI collaborator for Slack that brings together context from code repositories, tickets, documentation, monitoring systems, cloud platforms, and team conversations. It answers questions, investigates issues, performs engineering tasks, opens pull requests, and creates work artifacts in connected tools. Teams can collaborate with the agent in shared threads, while channel- and user-scoped controls govern access, knowledge, integrations, and spend.

- **Connected engineering context** — Bring Context Together
- **Engineering task execution** — Move Engineering Tasks Forward
- **Collaborative Slack workflows** — Guide Work In Shared Threads
- **Team knowledge memory** — Carry Team Knowledge Forward
- **Access and spend governance** — Control Access And Costs
- **Triggers and automations** — Automate Recurring Updates
- **Active-time pricing** — Pay For Active Agent Time
- **Custom agent skills and sandboxes** — Customize Agent Workflows

### [CodeRabbit Plan](https://www.coderabbit.ai/plan)
*Product*
Align teams on codebase-informed plans and give coding agents clearer context, helping reduce rework before code is written.
CodeRabbit Plan turns a text idea or issue-tracker ticket into an editable, phased coding plan grounded in relevant codebase context. Teams can define scope, assumptions, and success criteria, review and refine the plan collaboratively, then hand its context-rich prompt to a coding agent or export it to Cursor, VS Code, or Windsurf. Plan generation can be configured with rules based on labels, projects, assignees, or custom criteria.

- **Codebase-informed plan generation** — Ground Plans In Relevant Codebase Context
- **Collaborative plan editing** — Align On The Approach Before Coding
- **Coding-agent handoff** — Hand Off Plans To Your Agent Of Choice
- **Idea and ticket intake** — Start Planning From Ideas Or Tickets
- **Configurable plan generation** — Set Rules For When Plans Are Generated

## Sources

- [CodeRabbit](https://coderabbit.ai)
- [CodeRabbit Review](https://www.coderabbit.ai/review)
- [CodeRabbit Triage](https://www.coderabbit.ai/triage)
- [CodeRabbit Explain](https://www.coderabbit.ai/pricing)
- [CodeRabbit Secure](https://www.coderabbit.ai/security)
- [CodeRabbit Engineer](https://www.coderabbit.ai/agent)
- [CodeRabbit Plan](https://www.coderabbit.ai/plan)