Best Practices

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Establish Knowledge Documentation Foundation

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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

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Implementation Recommendations

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

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Optimize Prompt Strategy

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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.

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Effective Use of Chat Mode

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Positioning Philosophy

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

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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.

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Comprehensive Development Strategy

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Tool Combination Usage

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Development Mindset

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

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Problem Resolution Process

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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

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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.