vibe-coding-prompt-template: a structured AI workflow for shipping MVPs through prompt templates and agent-driven development

What it solves

It provides a structured, step-by-step workflow for turning a raw product idea into a functional Minimum Viable Product (MVP) using AI coding agents. It solves the problem of "vibe coding" (coding by intuition or loose prompts) by introducing rigorous upfront thinking, documentation, and context management to prevent AI hallucinations and regressions.

How it works

The workflow is divided into two main phases:

1. Thinking Phase: Users use chat-based AI (Claude, ChatGPT, Gemini) with provided prompt templates to conduct deep research, write a Product Requirements Document (PRD), and create a technical design.
2. Execution Phase: Users move into an AI-powered IDE (like Cursor or VS Code) and use the generated documents to instantiate agent files (like AGENTS.md). The AI agent then builds the application in small, reviewable chunks following a "Plan $\rightarrow$ Execute $\rightarrow$ Verify" loop.

Who it’s for

It is designed for entrepreneurs, developers, and non-experts who want to ship MVPs quickly using AI tools without needing deep architectural experience.

Highlights

• Structured Prompt Templates: Includes specific templates for research, PRDs, and tech design.
• Artifact-First Memory: Encourages agents to write findings to files (like MEMORY.md) to avoid context window overload.
• Agent-Centric Project Structure: Recommends a specific folder hierarchy (docs/, agent_docs/, specs/) to keep AI agents aligned.
• Tool-Agnostic: Compatible with various AI IDEs and platforms including Cursor, Claude Code, and v0.