The original title is "Why I Started Writing Code for AI, Not Just Humans"

Short summary

The author argues that AI coding assistants fail not from lack of programming knowledge but from lack of project context, and advocates writing code metadata — file paths, import maps, module READMEs, side-effect warnings — optimized for AI readers. Practical tips include annotating files with their project path, listing downstream consumers, and writing feature-level READMEs. The core thesis: optimize the environment the model works in, not the model itself.

• •AI coding assistants fail from missing project context, not missing coding ability
• •Add file paths, import maps, module READMEs, and side-effect annotations to help AI agents navigate codebases
• •Optimizing code metadata for AI readers reduces exploration time and downstream breakage

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