ralph-plan

To scaffold an autonomous AI development loop, you need to generate configuration and specification files. This Skill automates that setup by creating orchestration scripts and defining project requirements to initiate iterative code generation.

AI-driven project planning requires specification and orchestration files. This setup generates PROMPT_plan.md, PROMPT_build.md, AGENTS.md, IMPLEMENTATION_PLAN.md, and loop.sh to structure the autonomous development cycle.

The Ralph Wiggum autonomous loop structures code generation by analyzing project goals and decomposing them into focused specification files. It then coordinates AI agents through prompts and scripts to execute the implementation plan iteratively.

Yes, you can use this autonomous loop setup for an existing codebase. The process analyzes your current project structure during the scaffolding phase to generate an initial implementation plan aligned with your goals.

You can kickstart AI project planning by providing a high-level goal description like 'Build a personal portfolio website'. The system automatically sets up the loop structure, analyzes requirements, and generates the IMPLEMENTATION_PLAN.md file.

Automated scaffolding for AI development loops requires a clear goal description to function effectively. While it generates the initial structure and implementation plan, the actual iterative code execution relies on the generated orchestration scripts and AI agent capabilities.