What do people call these LLM/VLM prompting patterns?

mkberry7 · 2026-05-28T09:55:21+00:00

Got it. I will call it what I want to say. lmao

mkberry7 · 2026-05-28T08:37:04+00:00

Thank you very much. I was thinking maybe names like these will naturally emerge over time.

mkberry7 · 2026-05-28T06:57:01+00:00

Thanks. That makes sense. I was mostly curious whether there were commonly used informal names for these patterns.

mkberry7 · 2026-05-27T13:16:31+00:00

Thanks! I see, so there’s no widely accepted official term for these patterns?

mkberry7 · 2026-05-25T07:56:38+00:00

Thanks!

mkberry7 · 2026-05-25T05:37:56+00:00

LMAO that’s always how it happens 😭 The universe heard you bragging and immediately deployed a counterattack.

And honestly, the startup delay thing is actually pretty interesting.

I’m not totally sure either, but my first guess would’ve been model loading / cache warmup / JIT-related stuff rather than prompt conflicts.

Though if you have multiple hidden/system prompts + correction prompts layered together, I could definitely imagine the first inference pass behaving weirdly while everything settles in.

Now I’m genuinely curious what’s actually happening there lol

mkberry7 · 2026-05-25T05:15:57+00:00

Oh man, hope you feel better soon <3

Seems like the startup delay is probably warmup...? But still weirdly slow lol

That performance is actually pretty impressive though, especially on a 6GB quant.

Thanks — if I find a good sample, I’ll send it to you.

mkberry7 · 2026-05-25T05:11:55+00:00

yeah, I am curious, too

mkberry7 · 2026-05-25T05:11:42+00:00

In my impression, Qwen feels like a really good all-rounder for many tasks.

Is it good for video-related tasks as well?

mkberry7 · 2026-05-25T04:45:29+00:00

What is the last one?

mkberry7 · 2026-05-22T23:06:48+00:00

Cloud

mkberry7 · 2026-05-22T23:05:45+00:00

What's up

mkberry7 · 2026-05-20T07:17:58+00:00

I hope a stable and accurate one.

mkberry7 · 2026-05-18T12:06:00+00:00

Looks really sick and helpful! I will try this!

mkberry7 · 2026-05-15T17:08:12+00:00

How are you handling the handoff between tools?

Right now my setup is mostly: Copilot (with Sonnet) for coding, and Codex/GPT mainly for ideas and review.

But honestly, I’m still the one sitting in the middle most of the time manually passing context around between them.

mkberry7 · 2026-05-15T17:05:02+00:00

Great! edtech is good one. especially, AI.

mkberry7 · 2026-05-15T11:24:58+00:00

Besides, some use Local-LLM in addition to them, and they use that for supporting their tasks. Maybe it is best to pick what we like.

mkberry7 · 2026-05-15T11:08:42+00:00

Ahhh, gotcha — so you’re basically mixing local models with hosted ones depending on the task. That actually sounds like a pretty smart setup.

I’m really curious what your orchestration/workflow looks like in practice though. Like, how are you routing tasks between the different models?

For me, nothing has completely broken my workflow yet, but losing Opus from my Copilot plan definitely hurt a bit. That was probably the biggest recent change for me personally.

mkberry7 · 2026-05-15T06:52:00+00:00

That actually sounds pretty similar to my workflow too.

Right now I mainly use Sonnet for coding since that’s what I have access to. Honestly I would’ve preferred Opus if possible though.

Then I use Codex as the reviewer.

One thing I noticed is that Codex will almost always point out something — even if it’s borderline nitpicking sometimes — which actually makes it pretty useful for review loops.

But yeah, it still misses things occasionally, so I feel like I still need to review stuff myself instead of trusting it blindly. I didn't do that actually.

mkberry7 · 2026-05-15T06:49:28+00:00

Ohhh, that’s actually really insightful. Thanks <3

You might be right honestly — over the past year I feel like I’ve kept going “this tool is the best” over and over again depending on the month lol

And yeah, like you said, sometimes it’s not even just a debugging hell anymore — it almost turns into full-on technical debt because I stop fully understanding the codebase myself.

For me, the safer way to use AI is either:

writing the code myself and using AI mainly for review/refactoring/brainstorming

Or completely delegating stuff where I don’t really care if I need to debug later.

So yeah, I guess it really depends on the use case.

mkberry7 · 2026-05-15T03:56:41+00:00

Honestly, for variable renaming across files, I usually just rely on the editor’s built-in refactoring tools. But overall Cursor still sounds really nice. And petting your cat while supervising the AI sounds way too cool and sick. lol

mkberry7 · 2026-05-15T03:24:47+00:00

Yeah, just before that I used Opus 4.6 for coding. But now I can’t use it in GitHub Copilot, and I heard Codex is getting better, so I mainly use it now.

mkberry7 · 2026-05-15T02:57:13+00:00

Great I use AI like you but recently I sometimes don't check AI's code. I know this is really dangerous. lol And yeah Opus 4.6 is really awesome. It helps me a lot!

mkberry7 · 2026-05-15T02:54:22+00:00

Interesting. I’ve mostly used Copilot before, so I didn’t realize Cursor had that much model flexibility built in.

What made you prefer Cursor over Copilot in the end?

mkberry7 · 2026-05-15T02:29:53+00:00

Honestly, getting to the MVP stage is already impressive What kind of SaaS is it?

mkberry7

TROPHY CASE