Just started at a company and the amount of irresponsible AI use is appalling. I asked an employee whose job involves AI adoption/training how large their diffs are for pull requests. They told me that their diffs are "As much as the model can produce given its reasoning level".

In the end, this is going to create unmaintainable code that no one understands. It also discourages reviewing the code because no dev can meaningfully review 1000s of lines of code in a day while also accomplishing their tasks.

NOTE: I am still pro AI, just like I am pro heavy machinery. I just don't want people to cut off their legs...

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hoppp 5 hours ago | parent | next [-]

Yeah, I dread going back to work as my position has transformed from full stack dev to Ai code unfucker...

	▲	Terr_ an hour ago \| parent [-]
		I'm not scared of trying to unfuck LLM code per se, but I'm very afraid of doing it in a company that's still simultaneously adding 10x more...

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dominotw 6 hours ago | parent | prev [-]

why do you care how large the diffs are. isnt there any other way to measure if ai is producing value?

	▲	chrisandchris 5 hours ago \| parent \| next [-]
		Not OP, but I think it's not about producing value now, but how much it will cost in the long term. If you have unmaintaable code that is N times larger than a hand-written codebase, what is the cost to be?
	▲	yungtunafish 5 hours ago \| parent \| prev [-]
		Its about the team being able to review the code to tell if its slop or not. It's hard to meaningfully review huge changes to a codebase for one PR. Just imagine if there are 5 PRs a day with 1000+ insertions. It leads to the production codebase being somewhat of a black box imo