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How I use Claude Code: Separation of planning and execution (boristane.com)

976 points by vinhnx · 145 days ago · 591 comments on HN

Article summary

The article describes a workflow for using Claude Code, an AI coding tool, by separating planning and execution to produce better results. The author uses a written plan, reviewed and approved before implementation, to prevent wasted effort and ensure control over architecture decisions. This approach involves a research phase, a planning phase with annotation cycles, and an implementation phase with feedback. The workflow is designed to leverage the strengths of both human judgment and AI capabilities.

Main themes

  • AI coding tools
  • workflow and productivity
  • code quality and maintainability
  • human-AI collaboration
  • software development methodology
  • accountability and liability

What commenters say

  • Some developers find that using AI coding tools with a planning phase can significantly improve productivity and code quality.
  • Others argue that for experienced developers, writing code themselves is often faster and more efficient than using AI tools, even with planning.
  • The use of AI coding tools requires a different approach to maintainability, with some arguing that AI-generated code can be more maintainable than human-written code if properly reviewed and specified.
  • There is disagreement over the ability of AI tools to develop complex systems correctly, with some citing the importance of human review and oversight.
  • Some commenters believe that AI coding tools can be a competitive advantage, but this advantage may come at the cost of transparency and accountability.
  • Others argue that the use of AI coding tools does not eliminate the need for human responsibility and liability in software development.
  • The effectiveness of AI coding tools depends on the quality of the planning and specification phase, with clear and deterministic plans being essential for good results.
  • There is a split between developers who find reviewing AI-generated code to be more draining than writing code themselves, and those who find the opposite to be true.