Getting good results from Claude Code (dzombak.com)

Article summary

The article discusses the author's experience with Claude Code, a coding agent that helps with writing code. The author shares their approach to getting good results from Claude Code, including writing clear specs, having a document outlining the project's structure, and manually reviewing AI-written code. The author also shares their personal 'global' agent guide, which outlines best practices for agents to follow. The guide emphasizes incremental progress, learning from existing code, and clear intent over clever code.

Main themes

• Coding agents
• Software development
• AI-generated code
• Code review
• Project planning
• Collaboration with AI

What commenters say

• Writing a good spec is crucial for getting good results from coding agents, and it's a valuable skill for developers to have regardless of whether they use AI tools.
• Some developers believe that writing detailed specs is a waste of time and that it's better to start with a simple version and iterate, while others argue that a good spec is essential for successful project development.
• The use of coding agents raises questions about the role of human developers and the value of learning to code, with some arguing that it's still important for developers to have a strong foundation in programming principles.
• There is disagreement about the value of AI-generated documentation, with some seeing it as a burden and others believing it can be helpful for both humans and AI.
• Some developers use specialized prompts and techniques to get the most out of coding agents, while others find that a more straightforward approach works best.
• The ability to recover context and understand the current situation is important for coding agents, and clear documentation can help with this.
• There are different opinions on the best way to use coding agents, with some preferring a more iterative approach and others advocating for a more structured approach.