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Comment Re:A question for AI crazy management. (Score 1) 121

This matches how I use it. I’ll add a few other points:

4. Writing the first core version of a service or UI. I’ll typically use close to 100% of those generated lines, and then continue building with LLM assistance where it makes sense. It makes a big difference to development velocity.
5. Finding bugs. If some bug isn’t obvious to me, provide the code to an LLM and describe the problem. Its success rate is high.
6. Working with tech I’m not particularly familiar with (an extension of your #3, i.e. learning)
7. Writing documentation.
8. Reverse engineering existing code, i.e. describe some code to me so I don’t have to dig through it in detail.
9. Writing unit tests.

Comment Re:Cannot wait... (Score 1) 159

This is why code generating LLMs need to make heavy use of external tools.

Are you saying that ChatGPT, Claude, Deepseek etc. “make heavy use of external tools” to write code? Because they all write pretty good code, up to a certain size of program. Certainly far better than the average human, who can’t code at all; or the average software developer, who isn’t really very good.

Submission + - 'Tunnel Girl' granted permit to continue digging bunker under her Virginia home (foxnews.com)

schwit1 writes: The green light has been granted to a woman who went viral for digging a massive tunnel under her home.

"Kala," the supposed name of the homeowner and creator of the TikTok account @engineer.everything, garnered 7.7 million views as she documented herself digging a bunker under her home in Herndon, Virginia.

Known on social media as "Tunnel Girl," Kala posted a video on Monday announcing that her plans had been approved after paying a $2,000 fee. Her project had been halted in 2024 due to potential building violations.

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