Anthropic Launches Code Review Research Preview for Claude Code, Deepening GitHub Pull Request Reviews
As generative AI accelerates code production, human review is increasingly becoming a bottleneck in software development. Anthropic has responded by launching a research preview of Code Review for Claude Code. Multiple AI agents examine code changes and the broader codebase in parallel, helping teams uncover less obvious issues in GitHub pull requests.
Code Review recently became available for testing as a hosted service, with users able to initiate reviews through Claude Code’s “/ultrareview” feature. The system consolidates findings from multiple agents, automatically filters out false positives and duplicates, and posts its feedback to GitHub. Claude Pro and Max subscribers can use the feature free for a limited time during the research preview, while Anthropic has yet to announce formal pricing or a date for general availability.
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The history behind this eventClaude Code Launches Cloud Auto-Fix for CI Failures and PR Monitoring
Anthropic’s Claude Code is an AI coding tool for software developers that was initially focused mainly on writing and modifying code. Its cloud-based Auto-fix feature extends those capabilities into continuous integration and code review. The move marks a step toward AI handling the full feedback loop, from identifying errors and proposing fixes to validating the results, while engineers focus more on review and decision-making.
As of July 20, 2026, Claude Code has formally launched cloud-based Auto-fix, which continuously monitors pull requests. When it detects a failed CI test, the feature automatically analyzes the cause, modifies the code and reruns validation. It can also revise code in response to review comments. Anthropic has not yet disclosed pricing or the full scope of support, but the core aim is for developers to return to a project and find that their PR is passing again.
Anthropic Launches Claude Code Security to Help Development Teams Automatically Patch Code Vulnerabilities
Traditional static analysis relies heavily on established rules and can miss flaws involving data flows across components, business logic and access controls. Security teams also struggle to process large vulnerability backlogs. Anthropic has therefore integrated Claude’s code-reasoning capabilities into defensive workflows, enabling AI to scan and validate code and propose patches, though developers must still approve any fixes.
Anthropic launched the Claude Code Security research preview on February 20, 2026. Powered by Claude Opus 4.6, it scans and validates code and proposes patches, and has identified more than 500 vulnerabilities in open-source projects. The company released a six-stage reference workflow on May 27. As of May 22, it had disclosed 1,596 vulnerabilities, 97 of which had been fixed.
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