coco-fix-iterate

You can automate iterative code quality improvement by running a convergence loop that continuously reviews, scores, fixes, and verifies code until meeting configurable target metrics like correctness and security. This reduces manual effort and ensures higher standards.

A multi-agent workflow for automated refactoring uses specialized agents to independently handle code review, fixing, and verification cycles. This architecture prevents bias and enhances objectivity when evaluating code across multiple dimensions like security and test coverage.

Yes, you can configure specific score thresholds and maximum iteration limits for the code review process. This allows you to target precise quality metrics, such as a strict 95% test coverage requirement, before stopping the convergence loop.

Yes, the iterative code fixing loop supports a single-agent mode alongside its multi-agent architecture. This mode is designed for focused or rapid improvements when you need faster convergence without running the full multi-agent review cycle.

Use an autonomous code quality convergence loop when refactoring a legacy codebase to meet modern security standards or ensuring new features adhere to strict coverage requirements. It automates repetitive review and fixing cycles, significantly reducing manual refactoring effort.