Subtitle:
A comprehensive structure for organizing AI guidance through specialized rule categories
Core Idea:
The Four-Part Framework divides AI development guidance into four distinct domains—coding style, technical stack, workflow process, and communication patterns—creating a balanced system that addresses all aspects of collaborative AI development.
Key Principles:
- Comprehensive Coverage:
- Each domain addresses a fundamental aspect of development with no gaps
- Logical Separation:
- Categories are distinct with minimal overlap for clear organization
- Balanced Attention:
- Equal emphasis on technical constraints and human-AI interaction
Why It Matters:
- Structural Clarity:
- Provides an intuitive organization that's easy to remember and implement
- Complete Control:
- Ensures all aspects of AI behavior are addressed without omissions
- Adaptable Framework:
- Can be scaled up or down depending on project complexity
How to Implement:
- Create Coding Preferences File:
- Define standards for code style, organization, and quality
- Establish Technical Stack File:
- Specify technologies, tools, and frameworks to be used
- Document Workflow Preferences:
- Outline process steps, checkpoints, and progress tracking
- Detail Communication Preferences:
- Set expectations for AI feedback, summaries, and interaction patterns
Example:
- Scenario:
- Implementing the framework for a web application project
- Application:
- Coding Preferences: "Write simple code under 300 lines per file with documentation for major components"
- Technical Stack: "Use Python backend, HTML/JS frontend, SQL database"
- Workflow Preferences: "Break tasks into stages, pause after each for approval, log progress"
- Communication Preferences: "Classify changes as S/M/L, summarize after each component, ask for clarification when needed"
- Result:
- A structured development process with clear AI guidance across all aspects
Connections:
- Related Concepts:
- Modular Rule Systems: Organizational approach for AI guidance
- Code Driven Vibe Coding: Implementation context for the framework
- Broader Concepts:
- Systems Thinking: Understanding integrated components in complex systems
- Software Development Methodologies: Structured approaches to building software
References:
- Primary Source:
- Matthew Berman's framework in "Vibe Coding Tutorial and Best Practices" (2025)
- Additional Resources:
- Community contributions from Reddit and YouTube users enhancing each domain
Tags:
#ai-development #framework #system-design #development-methodology #human-ai-collaboration #structured-approach #prompt-engineering
Connections:
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