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Astral to Join OpenAI

astral.sh

271–280 of 951 posts

Re: Astral to Join OpenAI

#271
post #67

A concern: More and more plainly, OpenAI and Anthropic are making plays to own (and lease) the "means of production" in software. OK - I'm a pretty happy renter right now. As they gobble up previously open software stacks, how viable is it that these stacks remain open? It seems perfectly sensible to me that these providers and their users alike have an interest in further centralizing the dev lifecycle - eg, if Clau…

If it becomes too antagonistic, people will change. The desire to build things is larger than any given iron fist du jour. Just ask Oracle or IBM.

Could you say the same about the Chrome browser? Google is using it to EEE the web (Embrace, Extend and Extend it till it's a monstrosity that nobody else can manage). That's pretty antagonistic. But did people change?

Re: Astral to Join OpenAI

#272

Company that repeatedly tells you software developers are obsoleted by their product buys more software developers instead of using said product to create software. Hmm.

They said it'll be good enough in two weeks, give them some time!

Which year was that?

Re: Astral to Join OpenAI

#277

Company that repeatedly tells you software developers are obsoleted by their product buys more software developers instead of using said product to create software. Hmm.

And, they buy a company writing tooling for Python in not Python.

A tool might not be the best tool to build itself, doesn't mean it is not good. You don't use a screwdriver to craft screwdrivers. Doesn't mean screwdrivers are inherently bad

Re: Astral to Join OpenAI

#279

i feel like moves like this make it even harder for new open-source tools to break through. there's already evidence that LLMs are biased toward established tools in their training data (you can check it here https://amplifying.ai/research/claude-code-picks ). when a dominant player acquires the most popular toolchain in an ecosystem, that bias only deepens. not because of any skewing, but because the acquired tools…

I'm also concerned about this, but I feel as though uv and ruff's explosive growth happening alongside and despite that of LLMs demonstrates that it's not a show-stopper. I vividly recall LLM coding agents defaulting to pip/poetry and black/flake8, etc. for new projects. It still does that to some extent, but I see them using uv and ruff by default -- without any steering from me -- with far greater frequency.

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.

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