Your AI Coding Agent Needs a PRD, Too

What it does

This repository packages a staged MVP workflow—deep research, product requirements, technical design, agent setup, and build—into copy-pasteable markdown prompts and templates. You validate the idea and lock scope inside a chat tool first, then move to an AI IDE where generated AGENTS.md and boilerplate files keep the coding agent from wandering off brief. It is essentially homework for your LLM: do the thinking upfront so the agent does not freestyle itself into a corner.

The interesting bit

The author treats the AI like a junior dev who needs tickets: the build loop explicitly demands a plan, approval, one-feature execution, and verification before continuing. There is even advice on “artifact-first memory”—forcing the agent to write recap.md files instead of letting context windows rot—to keep long sessions coherent.

Key highlights

• Ships with four phase-specific prompt templates and a /templates/ folder for agent configuration.
• Tool-agnostic but opinionated: recommends Lovable for fast full-stack prototypes, v0 for exact Next.js components, and Claude Code for complex multi-agent logic.
• Explicitly warns against using the workflow for native hardware, regulated products, or safety-critical systems.
• Claims real-world battle testing on shipped projects including vibeworkflow.app and a React Native animal-collection app.

Verdict

Grab this if you are tired of AI agents hallucinating features and want a lightweight governance layer for vibe coding. Skip it if you already have a rigid product process or need to build safety-critical systems.