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AI Summary

Summary of AI Coding Video

AI Coding Challenges

  • AI coding assistants often struggle with understanding project structure and codebase.
  • They may make irrelevant adjustments or fail to update the entire codebase.
  • This is particularly challenging for those without a coding background.

Solution for Efficient AI Coding Projects

  • Providing clear context to the AI can help it understand and adapt to the project as it evolves.
  • Nick Bman H from the clev Discord Channel has created a system prompt for CLA Dev to generate markdown files with project context.

System Prompt Overview

  • Role-play as CL Dev, a full-stack developer and UI/UX designer.
  • Core principles include efficiency, flexibility, user-centric clarity, and continuous improvement.
  • Workflow involves planning, sprint design, implementation, testing, feedback, refinement, and progress tracking.

Documentation Management

  • Update documents continuously:
    • Current Task: Project overview, complexity level, stage, next steps, user feedback, and error logs.
    • Completion Criteria: List of project goals and features.
    • Sprint Docs: Design decisions and task breakdowns for each sprint.
    • External Instructions: Step-by-step guides for user actions outside the system.
    • Adaptive Instructions: Instructions and context for the AI.
    • Error Log: Record of errors.
    • Tech Stack: Chosen technologies and rationale.
    • Roadmap: Project milestones and timeline.
    • User Instructions and Research: Additional documentation.

Implementation Example

  • The video demonstrates using CLA Dev to create a new project.
  • The AI is prompted to create necessary files and directories.
  • The AI fills out markdown files based on provided project details.
  • The AI sets up a Next.js project with a UI framework and begins implementing the MVP.

Conclusion

  • The system is a work in progress but has shown effectiveness in guiding AI coding assistants.
  • Manual updates or explicit prompts may still be necessary.
  • The approach is important for building products with coding assistants.

Additional Notes

  • No detailed instructions such as CLI commands or URLs were provided in the transcript.
  • The video emphasizes the importance of context for AI coding assistants.