Ralph Playbook Skill

An autonomous coding loop automates software development by repeatedly feeding LLM prompts and bash scripts to manage project phases. It handles requirements gathering, planning, iterative building, task selection, validation, and code commits until project completion.

Yes, the autonomous coding loop manages agile development phases by generating and prioritizing implementation tasks. It uses LLM prompts to iteratively build, validate, and commit code based on your provided specification files.

You need specific prompt files (PROMPT_plan.md, PROMPT_build.md), an operational guide (AGENTS.md), and specification files (specs/*). Fill these with your build commands, project goals, and requirements, then run the loop script.

The autonomous coding loop self-corrects by learning from execution, updating operational guides, and regenerating plans if needed. It iteratively validates implementation tasks against specifications before committing code changes.

The best way to kickstart a new software project is defining high-level requirements in prompt files and specs. The autonomous coding agent then generates code, tests, and documentation, committing changes iteratively.

Using LLM prompts and bash scripting for autonomous software development requires strict specification files and operational guides. The loop depends on predefined prompt files and cannot operate without clear build commands and structured project goals.