Recurse

Developers using AI coding assistants can write code quickly, but reviewing that code for bugs, breaking changes, and inconsistencies still takes significant time. Teams risk shipping bugs to production if reviews are rushed or superficial, and existing AI code review tools are described by users as less thorough than needed. Without deep understanding of how components across a codebase interact, reviewers can miss issues that only surface upstream or downstream of a given change. This slows down shipping and creates risk of costly production bugs and debugging time.

Recurse analyzes a codebase to automatically identify bugs and breaking changes before they are introduced, and suggests fixes to keep new contributions consistent with existing code. It maintains expert knowledge of external and internal libraries, linking suggested fixes back to the correct documentation, and claims full codebase understanding so it can catch issues both upstream and downstream of a change. It integrates directly with coding assistants like Claude Code and Cursor, offers a CLI tool called rml, and includes a GitHub PR review bot for reviewing pull requests. Recurse states it does not train models on customer code and follows a zero retention policy, wiping code after real-time review.

The page frames the need around AI-assisted coding: writing code is now fast, so review has become the bottleneck, and one user describes using Recurse as a 'safety net for async AI development.'