Structured documentation to guide AI implementation of software features
Core Idea: Product Requirement Documents (PRDs) provide explicit, step-by-step guidance for AI tools by breaking projects into manageable components and establishing clear acceptance criteria.
Key Elements
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Key principles
- Forces clarity in thinking about project requirements
- Breaks complex projects into implementable chunks
- Creates explicit acceptance criteria for each step
- Structures AI interactions around discrete tasks
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Methodology steps
- Define the full project scope and features
- Break down features into individual implementation steps
- Define clear acceptance criteria for each step
- Implement one step at a time with AI assistance
- Test each component thoroughly before proceeding
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Requirements
- Detailed project overview
- Step-by-step implementation plan
- Clear acceptance criteria for each component
- Testing strategy for individual features
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Common pitfalls
- Implementing multiple steps simultaneously
- Providing vague requirements to AI
- Proceeding without testing intermediate steps
- Failing to update the PRD as the project evolves
Additional Connections
- Broader Context: Project Management for AI-Assisted Development (organizational framework), Claude for PRD Creation
- Applications: Incremental Implementation Strategy (practical approach)
- See Also: Testing Strategy for AI-Generated Code (validation methodology)
References
- Vibe Coding Principles
#product-requirements #ai-development #project-management #implementation-strategy
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