Automated Test-Fix Loop

Automated test-fix loops orchestrate continuous testing by running tests, detecting failures, creating GitHub issues with context, and invoking Claude Code to attempt fixes before re-running tests. This pattern works across languages by configuring your test command and timeout settings in starter scripts.

Yes. The workflow invokes Claude Code as a fixer component that receives detailed issue context from GitHub and generates patches. Tests re-run after each fix attempt, creating a feedback loop until all tests pass or the loop exhausts configured attempts.

Configure the GitHub integration component to create issues with rich failure context when tests fail. The workflow captures test output, stack traces, and environment details, then attaches this context to the issue so Claude Code has sufficient information to diagnose and fix the root cause.

The workflow supports any language by letting you configure the test command—cargo test for Rust, npm test for Node, pytest for Python, and so on. The modular design is test-framework agnostic; timeout and permission modes adapt to your CI/CD environment.

Yes. The CI/CD-friendly workflow is designed for both overnight regression testing and PR pipelines. Configurable timeouts and permission modes let you control loop duration, fix scope, and GitHub interaction within your deployment constraints.

The loop respects configured timeouts and attempt limits. If fixes don't resolve the failure, the GitHub issue persists with all diagnostic context for manual review. The workflow gracefully halts rather than looping indefinitely, leaving the issue for developer triage.