ralph-loop

Autonomous coding loops automate technical tasks by following a fixed sequence—read, plan, execute, lint, unit test, e2e test, fix, and repeat—until the Definition of Done is green. This standardizes task execution and reduces manual coordination.

Structured autonomous coding workflows orchestrate subagents through explicit status reporting and task decomposition, enabling parallel agent collaboration and traceability across iterative development cycles until quality gates are satisfied.

Yes, automated planning and testing loops are designed for technical tasks with measurable acceptance criteria. They enforce quality gates like linting, unit testing, and end-to-end validation before allowing a pull request to complete.

Autonomous coding loops integrate linting and end-to-end validation as mandatory steps within each iteration. If validation fails, the loop automatically triggers a fix phase and repeats the cycle until all strict exit criteria are met.

Use an autonomous loop when technical tasks have clear, measurable acceptance criteria and require automated planning, parallel agent collaboration, and strict exit validation. It reduces context switching compared to manual coordination for complex coding workflows.

Yes, an autonomous coding loop enforces strict exit criteria, requiring the Definition of Done to be green. It ensures all linting, unit tests, and end-to-end checks pass before completing and submitting a pull request.