ralph-loop-workflow

Automated long-running coding tasks use a Ralph loop workflow to decompose wide outcome-focused prompts into planning, building, testing, and documenting iterations. The loop continuously executes and verifies tasks until the overarching development goal is fully satisfied.

Preflight checks ensure all required CLIs are installed, linked, and authenticated before starting the autonomous coding loop. These checks validate the local development environment to prevent execution failures during automated task planning and continuous iteration.

Yes, the Ralph loop workflow runs continuous iteration and automated verification across typecheck, formatting, tests, and browser checks. It operates against a live local development server to validate outcomes during each cycle of the autonomous coding process.

The best way to break down wide outcome-focused prompts is using first-principles task decomposition within an autonomous loop. The Ralph workflow handles this by planning, building, testing, and documenting each decomposed task sequentially until the project is complete.

No external dependencies or components are required to run the Ralph loop workflow itself. However, preflight checks verify that necessary local development CLIs are installed and authenticated before the autonomous task orchestration and verification loop begins.

You should not use an autonomous coding loop for tasks lacking a clear outcome-focused prompt or without a local development environment. The Ralph loop requires preflight CLI authentication and a live dev server to perform continuous typecheck, formatting, test, and browser verification.