The other hard to measure part is that I see/hear a lot of LLM usage going towards dev work that was never prioritized before.

Suddenly devs who were cranking out features with no interest in infrastructure are attacking giant refactors to make the code more understandable to the LLM.

Other devs are using LLMs to build themselves quality of life SDLC tools completely separate from the core code base.

Plenty of other examples of this.

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leoedin 2 hours ago | parent | next [-]

The quality of my bash scripts is 100x what they used to be. Proper help messages, flag parsing, functions, internal variables, using sed all the time (I could never wrap my head around that).

Of course, the main issue is that they’re completely undebbugable now. My bash scripts used to be a sequential list of commands, now they’re 500 lines of variable laden functions.

Is my life any better? Dunno. But it’s satisfying (until there’s a bug)

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nasretdinov 2 hours ago | parent | next [-]

> the main issue is that they’re completely undebbugable now

Well, that means the quality actually dropped then :). Looking impressive isn't equal to quality, understandability and reliability is

	▲	gmassman an hour ago \| parent [-]
		Not necessarily…. As with all engineering choices there are tradeoffs involved. There can be both advantages and disadvantages to using AI to build scripts. And more likely than not you’ll need AI to help debug the scripts when they have issues. Real tradeoffs to consider.

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mckee_plus_plus an hour ago | parent | prev [-]

I switched to js for dev related scripting after seeing how much python scripting is used for portable c++ projects like chromium.

A node glob() or a regexp string.replace call is probably easier to read than spaghetti shell.

And your llm might do a much better job of creating clean, readable and testable code.

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move-on-by 2 hours ago | parent | prev [-]

Just one more data point but this is what I’m seeing too. The extreme ‘ruthless’ prioritization has stopped and devs (who want it) have breathing room to make the enhancements they’ve been wanting all along. Turns out what is good for AI is also good for regular old school SDLC. All you have to do is say it will make AI more effective.