Three prevalent themes in the discussion
1. AI‑generated retro projects feel less impressive
“This is pretty sad. Seeing this a couple of years ago would be mind blowing. An impressive technical feat by someone with grit and resilience to painstakingly build this from scratch. Today? Meh.” — guiambros
“I got excited for a bit, until I loaded the page and saw it was slop. I still would be impressed if someone actually took the time to learn about and implement it for themselves.” — Retr0id
2. Concerns about authorship and proof when using LLMs
“there's also no way to prove I created it without LLM help” — LarsDu88
“You don’t need to prove it, that was never a requirement. You can simply say it. The only complication is that there’s a fair number of people who … really want to pass LLM output as their own.” — socializer
“Of course there is — ask you about it…. No way to succeed there without actually understanding.” — dmitrygr
3. The lasting value of hands‑on work for learning, reputation, and community
“I’m very grateful I have public pre‑LLM projects I can point at (including a 6502 emulator!), and I have absolutely no idea how I’d go about bootstrapping the same kind of reputation starting from scratch.” — Retr0id
“What was the point before? To have fun, build a community, and to get attention of hiring managers. The first two reasons are still there.” — socializer
“I think the takeaway is that we have to think bigger, much bigger, now that AI coding is essentially ‘solved.’” — aabajian