About
CodeRabbit builds an AI-powered code review platform for modern engineering teams, integrating with GitHub, GitLab, Bitbucket, and Azure DevOps. It differentiates through context-aware, human-like feedback and automated fixes that combine large language models with deep code-graph analysis inside developers’ existing workflows.
Market
CodeRabbit competes in the AI-powered developer-tools and software-development-applications market, specifically automated code review and broader SDLC workflow software. It positions itself as a context-aware AI quality gate that combines LLMs, code-graph analysis, automated fixes, and workflow-native integrations; relative to tools such as Graphite, which emphasizes a broader pull-request workflow, CodeRabbit differentiates through specialized AI review depth and coverage across Git platforms.
CodeRabbit targets software engineering organizations—from growing technology companies to large enterprises—that manage pull requests across major Git platforms and want to improve code quality, security, and developer productivity. Its primary users and buyers are engineering leaders, development teams, and active pull-request authors, with pricing focused on authors rather than every developer on a team.
At a Glance
Problem
Software teams need thorough code review to catch defects, security issues, and maintainability problems before release, but manual review is slow, labor-intensive, and difficult to scale as code volume and development velocity increase. The pain is both economic and operational: reviewers spend substantial time understanding changes and explaining feedback, while delayed reviews slow releases and inconsistent attention can allow bugs through. CodeRabbit’s core use case is accelerating pull-request review without sacrificing depth, reducing reviewer effort and helping teams ship software faster.
The underlying problem is reviewer cognitive load: human reviewers must repeatedly reconstruct context, assess line-level changes, and reason about architectural implications. CodeRabbit addresses the highest-value bottleneck in the software-development workflow—the pull request—where a faster, more consistent first pass can improve engineering leverage across a team.
Product / Service
CodeRabbit is an AI-powered code-review platform delivered inside the development workflow. It automatically reviews pull requests and provides context-aware, line-by-line feedback, code suggestions, explanations, pull-request summaries, architectural diagrams, and real-time chat. Its documentation describes support for reviewing GitHub pull requests and planning implementations from Jira, positioning the product as more than a static scanner: it is an interactive assistant that understands the change in repository and project context.
The benefit is a continuously available review layer that handles routine analysis quickly while leaving final judgment with human engineers. By combining structured code analysis with natural-language reasoning, CodeRabbit aims to reduce review time and cognitive load, catch issues earlier, and make quality guardrails available even when senior reviewers are busy. The company explicitly frames the product as an assistant rather than a replacement for human reviewers.
Market
CodeRabbit competes in the emerging AI code-review and broader developer-tools market, adjacent to static analysis, code-quality, security-scanning, and AI coding-assistant products. Named alternatives include GitHub Copilot Code Review, Sourcery, Ellipsis, Codacy, Macroscope, Cursor BugBot, and other codebase-aware review tools. Its differentiation is a dedicated, pull-request-centric experience built around context-rich comments, summaries, diagrams, and conversational follow-up rather than only rule-based scanning or code generation.
The available evidence indicates meaningful commercial traction rather than a pre-revenue launch. CodeRabbit announced a $60 million Series B in September 2025, bringing total capital raised to $88 million, and contemporaneous reporting said it had more than 8,000 paying customers and more than 100,000 open-source projects on the platform. The company’s LinkedIn profile also reported 246 employees as of July 2026, alongside SOC 2 Type 2 and GDPR credentials. These figures indicate a scaled, venture-backed business, although the customer count is tied to September 2025 and independently reported revenue figures are not reliable enough here to characterize current ARR.
Founders & Leadership
Funding History
Not publicly disclosed
CRV
Scale Venture Partners
Recent News
CodeRabbit became available through Anthropic’s Claude Marketplace, allowing Anthropic customers to apply existing spend commitments toward CodeRabbit and consolidate AI spending under one invoice.
CodeRabbit reported that AI is producing more code than humans can review, citing a 75% increase in logic errors and nearly triple the number of security issues. The article discusses what may replace traditional human review.
CodeRabbit launched an agent for Slack that extends its context engine beyond code review into planning, debugging, and software delivery. The company describes it as a single agent for the entire software development lifecycle.
CodeRabbit appointed Matthew Mulqueen as chief revenue officer to lead global sales and customer success as the company expands its enterprise go-to-market operations.
CodeRabbit announced the public beta of Issue Planner, a product for collaboratively planning and reviewing AI prompts before implementation. It integrates with Jira, Linear, GitHub Issues, and GitLab.
CodeRabbit published a report finding that AI-written code produces approximately 1.7 times more issues than human-written code, highlighting the need for stronger AI-era code-quality controls.
Sacra reported that CodeRabbit closed a $60 million Series B in September 2025, led by Scale Venture Partners, at an approximately $550 million post-money valuation.
CodeRabbit announced a $60 million Series B to build quality gates for AI-powered coding, bringing its total capital raised to $88 million.
Endor Labs covered Kudelski Security’s discovery of a remote-code-execution flaw in CodeRabbit, framing it as a cautionary example for GitHub App vendors and their customers.
CodeRabbit responded to the reported vulnerability by deploying a fix within 12 hours, moving RuboCop into a secure sandbox, auditing its systems, and automating sandbox enforcement.
Active Roles
47Business Model
CodeRabbit earns revenue through seat-based subscriptions for teams using AI code review in pull-request workflows. Its self-serve plans include Pro at $24 per user per month and Pro Plus at $48 per user per month, with billing tied to developers who create pull requests.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
NVentures, Scale Venture Partners, CRV, Harmony Partners, Flex Capital, Engineering Capital, Pelion Venture Partners