Perhaps it's naive optimism, but I generally have hope that new and improved tools will continue to gain adoption and shine through in the training data, especially as post-training and continual learning improve.
I'm a heavy user and instructor of uv. I'm teaching a course next week that features uv and rough (as does my recent Effective Testing book).
Interesting to read the comments about looking for a change. Honestly, uv is so much better than anything else in the Python community right now. We've used projects sponsored by Meta (and other questionable companies) in the past. I'm going to continue enjoying uv while I can.
2. In any case, the announcement strongly suggests that customer acquisition had little to do with this. The stated purpose of the acquisition, as I read it, is an acquisition (plus acquihire?) to bolster their Codex product.
3. But if they were hoping for some developer goodwill as a secondary effect... well, see my note above.
Good for Astral though I guess, they do great work. Just not optimistic this is gonna be good for python devs long term.
https://www.cnbc.com/2026/03/17/openai-preps-for-ipo-in-2026...
Astral has demonstrated that there is desire for this sort of "just works" thing, which I struggled with, and led me to abandoning it. (I.e.: "pip/venv/conda are fine, why do I want this?", despite my personal experience with those as high-friction)