[numba888]

Looks outdated by now. Try R1.

Seriously, I've been using LLMs for coding for a while and can say early experience was disappointing, but they get better and better fast. The latest o1 looks a lot better than 4o. It's reasonable to expect with proper human supervision and interface they will be able to handle big files and projects in a year or two. Interesting times...

[bandrami]

They also said that a year or two ago

[baq]

Impossible of yesterday became mundane today and obsolete tomorrow. Pace of progress is borderline debilitating, when you aren’t deafened by the woosh of goalposts flying past you.

I can confidently say the way I code today is completely different from the way I was coding in late 2022 and it changed a couple times in between then and now, too.

[bandrami]

"Isn't Lean just the same Six Sigma stuff you were selling us a year ago?"

"No no no no no. This has a totally different name"

[baq]

Yeah except throwing shit together for an internal react ui is now a pleasant couple hours instead of painful couple days.

[bandrami]

Right but throwing shit together for an internal perl cgi wireframe used to be like 15 minutes.

We've regressed is all I'm saying

[numba888]

Today it's within the reach, I think. While effective context window is small for big files it should be possible to use RAGs to get relevant pieces in smaller window. That will be mostly data structures and functions' declarations. Only what's needed. Humans work the same way on non-trivial projects. Supervision should include strategic planing and subdivision to smaller tasks. Not sure, just my feeling, we are close to have capable models with big enough context windows. May be they are already good enough, just need proper orchestration.

Hmm... I can try... OAI has something called 'projects', but local handling with API calls is probably the right way of doing it. Easier to switch providers, run and debug in place. With current prices it should be like < $10/month.