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[return to "ChatGPT Containers can now run bash, pip/npm install packages and download files"]
1. behnam+sj[view] [source] 2026-01-26 20:58:52
>>simonw+(OP)
I wonder if the era of dynamic programming languages is over. Python/JS/Ruby/etc. were good tradeoffs when developer time mattered. But now that most code is written by LLMs, it's as "hard" for the LLM to write Python as it is to write Rust/Go (assuming enough training data on the language ofc; LLMs still can't write Gleam/Janet/CommonLisp/etc.).

Esp. with Go's quick compile time, I can see myself using it more and more even in my one-off scripts that would have used Python/Bash otherwise. Plus, I get a binary that I can port to other systems w/o problem.

Compiled is back?

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2. koe123+i11[view] [source] 2026-01-27 01:09:18
>>behnam+sj
> But now that most code is written by LLMs

Am I in the Truman show? I don’t think AI has generated even 1% of the code that I run in prod, nor does anyone I respect. Heavily inspired by AI examples, heavily assisted by AI during research sure. Who are these devs that are seeing such great success vibecoding? Vibecoding in prod seems irresponsible at best

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3. cheeze+J11[view] [source] 2026-01-27 01:12:13
>>koe123+i11
FAANG here (service oriented arch, distributed systems) and id say probably 20+ percent of code written on my team is by an LLM. it's great for frontends, works well with test generation, or following an existing paradigm.

I think a lot of people wrote it off initially as it was low quality. But gemini 3 pro or sonnet 4.5 saves me a ton of time at work these days.

Perfect? Absolutely not. Good enough for tons of run of the mill boilerplate tasks? Without question.

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4. asadot+KJ3[view] [source] 2026-01-27 18:58:38
>>cheeze+J11
Does great for front ends mean considerate A11Y? In the projects I've looked over, that's almost never the case and the A11Y implementation is hardly worthy of being called prototype, much less production. Mock up seems to be the best label. I'll bet you think because the surface looks right that runs down to the roots so you call it good at front ends. This is the problem with LLMs, they do not do the hard work and they teach people that the hard work they cannot do is fine left undone or partially done and the more people "program" like this the worse the situation gets for real human beings trying to live in a world dominated by software.
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5. simonw+MZ3[view] [source] 2026-01-27 19:58:22
>>asadot+KJ3
It turns out if you tell a coding agent "make it accessible" you'll get better results than you would from most professional front-end developers.

I'm not satisfied yet: I want coding agents to be able to actively test on screen readers as part of their iteration loop.

I've not found a system that can do that well yet out of the box, but GuidePup is very promising: https://github.com/guidepup/guidepup

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