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Rethinking CLI interfaces for AI


We need to augment our command line tools and design APIs so they can be better used by LLM Agents. The designs are inadequate for LLMs as they are now – especially if you're constrained by the tiny context windows available with local models.

To keep Claude Code in line on my project, I’ve relied heavily on linters, build scripts, formatters, and git commit hooks. LLMs are trained on using our existing CLI tools, so I think we need to augment them with context that is useful to the LLM and maybe adapt the output to be better consumed by agents. It seems a bit silly to suggest, but perhaps we need a whole set of LLM-enhanced CLI tools or a custom LLM shell?

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