There genuinely is a lot of interesting discussion to be had about LLMs, and I know this is true because I discuss things with my coworkers daily and learn a lot. I do admit that conversation online about LLMs is frequently lacking. I think it's a bit like politics - everyone has an opinion about it, so unfortunately online discourse devolves to the lowest common denominator. Hey guys, have you noticed that if you use LLMs frequently it's possible you'll forget to think critically?

But "there can't be any interesting discussion about AI programming" is completely false.

▲ mrcsharp 9 hours ago | parent | next [-]

For me, almost every single time a conversation like this happens in real life it boils down to the one side claiming that "This is the future" and "Don't get left behind" followed by a torrent of hype and buzzwords. So no, there is no interesting conversations to be had about LLM programming anymore.

	▲	johnfn 41 minutes ago \| parent \| next [-]
		Maybe you struggle to have good conversations because I just provided an anecdote and you immediately stated that my anecdote is false? If this is how you typically interact with people I’m not surprised you’re not having interesting conversations.
	▲	arw0n 6 hours ago \| parent \| prev [-]
		> "This is the future" Yeah, that's silly, it is already the present! Some interesting conversation one can have with coworkers specifically: 1. How should code review and responsibility for code be updated to a) increase velocity, b) keep quality and c) keep reviewers from burnout. There are plenty scenarios in which vibe coding a component in an afternoon is the correct choice, even if it is buggy, insecure, and no one really understands it. 2. Which parts of the codebase work well with code assistants, which don't? Why? What could be changed to make it easier? In my experience, Claude Code sometimes loses its mind on infra topics. It is also not very good at complex, interconnected services (humans aren't either). 3. Which tasks could be offloaded to agents to save everyone time and sanity? - Creatig Jira Tickets from meeting transcripts is an obvious one, collecting and curating bug reports another one. 4. How should we design systems to better work for coding agents? Does it influence our tech choices? Should it influence them? 5. Is AI a net positive or negative for security? And so much more. The last topic in particular is incredibly important, and things are developing so fast that you can probably have a new conversation on it every two weeks.

▲ imp0cat 10 hours ago | parent | prev [-]

    if you use LLMs frequently it's possible you'll forget to think critically?

Nowadays, you can have a sub-agent to think critically for you. ;)