🤖 AI Summary
The author argues against creating separate, AI-optimized repositories and recommends organizing repo documentation primarily for human developers. They note most content you’d add for agents—configuration guidance, anti-pattern warnings, usage constraints—is already valuable to people. The current pain point is fragmentation: every coding agent uses its own config-file pattern for repo-specific instructions, which forces duplicated guidance across agent docs and makes consistency and maintenance difficult as agent file schemes evolve.
The practical solution proposed is to keep a single, human-focused source of truth and have agent-specific files link back to it. That approach reduces duplication, makes updates future-proof when agent formats change, and keeps humans in the loop (improving onboarding and reducing dev anxiety). Technically, it preserves the benefits of token-efficient prompts for agents while prioritizing reduced cognitive overhead for maintainers. For the AI/ML community this means cleaner repo hygiene, fewer agent-specific antipatterns, simpler cross-agent integration, and lower long-term maintenance costs—striking a balance that serves both autonomous agents and human collaborators.
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