[crudcodersare]

Clearly, you have your nose stuck in the past. LLMs aren't just good; they're revolutionary, making coders look like one finger keyboard peckers. They're not struggling with maintaining systems; they can be trained on specific datasets and codebases, totally mastering them in ways no human can ever hope to do, making your traditional coding seem like manual typewriting and laughable in comparison. The idea that they can't handle specificity is also laughable. LLMs are not the future; they're the now, effortlessly bridging tech and non-tech worlds, totally replacing programmers. Anyone thinking otherwise is simply not paying attention. The writing is on the wall.

[randysalami]

Can I ask how you’re accomplishing this? What tools and workflows are you using to have LLMs actually do this level of development in the present? Sounds like you are at the cutting edge and I’m very curious since I still hear copilot being touted as “cutting edge”. Thanks!

[lurking_swe]

this sounds like something an LMM wrote lol.

Answer me this: often times even my product manager doesn’t know WHAT they want. They think they know but they don’t really, once you start looking at the code, there are dozens of edge cases throughout the system. The requirements are vague. How do you expect an LLM to magically figure that out? Or more importantly, the business domain (a domain not easily trained on textbooks or crap found on the internet)?

And I don’t have my head stuck in the sand. I’ve found LLM’s great for brainstorming, implementing small functions, or updating snippets of configuration like terraform.