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Product Requirement Document

Vibe coding is a prompt-driven approach to software development where you write software by describing what you want in natural language and let AI generate the code.

A well-structured PRD is essential for effective vibe coding, serving as a foundation for your project.

Context​

Core Components​

A good PRD for AI Coding should include:

  • Big picture goals - What you're trying to achieve
  • Target audience - Who the product is for
  • Core features - Key functionality
  • Technical implementation - How it works
  • Tech stack - Technologies to be used
  • User journey - How users will interact with the product
  • Next steps - Implementation roadmap

Benefits​

Starting with a PRD before writing code offers several advantages:

  1. It forces you to clarify your goals rather than providing ambiguous instructions to AI
  2. It helps break down tasks into manageable steps, similar to acceptance criteria
  3. It provides a reference document that can be included in your codebase
  4. It enables better communication with AI tools during the development process

PRD Creation Process​

When creating a PRD for vibe coding:

  1. Use AI tools like Grok, o1 Pro, or GPT 4.5 which are particularly good at creating PRDs
  2. Break down your project into milestones (up to 5) to make implementation more manageable
  3. Include requirements, tech stack, and clear milestones in your documentation
  4. Keep your tech stack simple to reduce the likelihood of AI breaking your app

Using Your PRD Effectively​

Once your PRD is complete:

  1. Share it with the AI and instruct it to tackle one step at a time
  2. Create multiple prompts or chats, each dedicated to a single step
  3. Test each implemented feature before moving to the next one
  4. Include the PRD file in your codebase for reference

Best Practices​

  • Be less specific in some areas to allow for AI creativity - vibe coding is about getting things "almost right" and accepting compromises
  • Start over when things go wrong rather than trying to fix complex issues
  • Utilize Test-Driven Development (TDD) to get the AI to test its own code
  • Ask AI to explain the code to help you understand the technical architecture