Anthropic launches AI-powered Code Review for Claude Code
Anthropic launched an AI-powered code review tool within Claude Code to address bottlenecks in reviewing AI-generated code. The new product, called Code Review, is available in research preview for Claude for Teams and Claude for Enterprise customers.
The tool targets large-scale enterprise users to handle the increased volume of pull requests caused by AI coding tools. Anthropic’s enterprise business has seen subscriptions quadruple since the start of the year, with Claude Code’s run-rate revenue surpassing $2.5 billion.
Code Review integrates with GitHub to automatically analyze pull requests and leave comments on potential issues and fixes. The AI focuses on logical errors rather than style issues to provide immediately actionable feedback, according to Cat Wu, Anthropic’s head of product.
“We decided we’re going to focus purely on logic errors. This way we’re catching the highest priority things to fix,” Wu said. The system labels issues by severity using colors: red for highest priority, yellow for potential problems, and purple for preexisting code issues.
The tool uses a multi-agent architecture where multiple agents examine the codebase in parallel. A final agent aggregates and ranks findings, removing duplicates and prioritizing what is most important.
Code Review provides a light security analysis, with deeper analysis available through Claude Code Security. Pricing is token-based, with an estimated average cost of $15 to $25 per review depending on code complexity.
Anthropic filed two lawsuits against the Department of Defense on Monday over a supply chain risk designation. The company’s enterprise business will likely be critical amid this dispute, according to the company.
The tool is targeted at companies like Uber, Salesforce, and Accenture that already use Claude Code. Developer leads can enable Code Review to run by default for every engineer on their team.
Anthropic stated that Code Review addresses market demand from engineers seeing decreased friction in creating new features. The company aims to enable enterprises to build faster with fewer bugs.