This is great feedback. I just improved the README and DockerHub overview to be more clear:
"Stop getting out-of-date Python package manager commands from your AI. Cross-reference latest official pip, poetry, uv, and conda docs with auto-updates."
"Stop getting out-of-date Python package manager commands from your AI. Cross-reference latest official pip, poetry, uv, and conda docs with auto-updates."
What I think would be great is either you hosting a central server permanently available to public and somehow convincing major AI service providers to query your servers for solving that narrow scope of tasks, or rather do something similar for open source models available on Hugging Face or something.
Where this actually shines is with local LLMs (Ollama, etc) - smaller models, no API costs, fully offline, and the AI gets fresh docs without waiting months for model retraining cycles. Your point about convincing major providers to integrate something like Dash (https://kapeli.com/dash) would definitely be the ideal solution though.
I definitely hear you on the broader ecosystem approach. Anything you've been working on in the same space?