Home AI Hacker News Show HN: Leveraging Classic Development Books to Enhance AI Agent Guidance

Show HN: Leveraging Classic Development Books to Enhance AI Agent Guidance

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🚀 Revolutionizing Code Review with AI 🌟

I’m diving deep into transforming classic software engineering principles into actionable “skill” files for AI agents, creating a new dimension in code reviews. These principles, rooted in renowned works like Clean Code and Designing Data-Intensive Applications, serve as structured guidelines.

Key Highlights:

  • Opinionated Instruction Sets: Not summaries, but clear, structured directives for AI.
  • Practical Workflow Integration: How can these skills fit into code review processes or aid in refactoring legacy code?
  • Open Questions:
    • Is using book principles for AI-driven reviews effective?
    • What’s the best approach for managing multiple agents in iterative reviews?
    • How can we maintain context to ensure thorough evaluations?

Join me in exploring this innovative journey! 🤖💡 I want your insights and experiences—let’s collaborate on building a cleaner, smarter codebase together!

🔗 Share your thoughts and connect!

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