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Establish Knowledge Documentation Foundation

Key Content

  • Product Vision: Clear product goals and core value proposition
  • User Journey: Detailed description of user roles and usage scenarios
  • Functional Specifications: List key features and functional requirements
  • Design System: UI guidelines, style specifications, and component library
  • Role Definitions: Behaviors and permissions of different user roles
Knowledge documentation is your project’s “brain” - it provides AI with complete project context to ensure generated code meets your requirements.

Implementation Recommendations

Regularly update knowledge documentation to ensure AI always develops based on the latest project information.

Optimize Prompt Strategy

Core Techniques

Specific Descriptions: Clearly specify page locations and expected behaviors. Use natural language to describe requirements and provide screenshots to enhance contextual understanding. Set Development Boundaries: Define clear work scope for AI, repeat key instructions to ensure understanding, and break complex tasks into testable small chunks. Role Specification: When dealing with multi-role systems, clearly specify the current operating user role to ensure AI generates appropriate code for the correct context.
Adopt progressive development approach, focusing on one specific feature at a time, ensuring each step can be validated.

Effective Use of Chat Mode

Positioning Philosophy

Treat chat mode as your “AI co-pilot” for deep collaboration and problem solving.

Usage Timing

Troubleshooting Scenarios: Use chat mode after 2-3 consecutive “try fix” failures, when debugging complex logic issues, or when technical challenges require detailed analysis. Feature Planning Scenarios: Leverage chat mode for new feature architecture design, technical solution discussions, and code refactoring planning to ensure comprehensive consideration of all aspects.
Recommend investing 60-70% of development time in chat mode, leveraging its powerful analysis and planning capabilities.

Comprehensive Development Strategy

Tool Combination Usage

ToolUse CaseBenefits
Version ControlUse GitHub integration to manage code changesTrack progress and collaborate
Chat ModeComplex logic development and problem solvingDeep analysis and planning

Development Mindset

  • Maintain patience and systematic thinking
  • Adopt incremental development approach
  • Actively utilize community resources and documentation

Problem Resolution Process

Steps When AI Enters Loop State

  1. Switch to Chat Mode
    Immediately stop current operations and enter interactive problem analysis
  2. Provide Error Screenshots
    Share detailed error information and context
  3. Request Deep Investigation
    Ask AI to carefully analyze problem root causes and provide solutions
Minimize problem loops through clear requirement descriptions and progressive development.

Conclusion

Successful Nextd development relies on effective human-AI collaboration. By following these best practices, you’ll be able to fully leverage AI-assisted development potential and build excellent applications. Remember: Clear communication, systematic approaches, and continuous learning are keys to success.