I've been hearing the word "harness" thrown around a lot lately. I assumed it just meant "the IDE" or "whatever app is running your agent." Turns out, it goes a little deeper than that.
So I sat down with @greggyb and asked him to explain it from the ground up: what an LLM actually does, what turns it into an agent, and where the harness fits into all of it.
The point that stuck with me is the harness isn't the app you're looking at. It's the invisible plumbing deciding whether the agent keeps going or calls it done.
Did your mental model of "harness" match up? Or were you picturing something else too?
source & further reading
dev.to — original article
LLM Fine-Tuning Guide: Full Fine-Tuning, LoRA, Learning Rate, and VRAM
RES, my personal safeguard against AI
Hallmark: Together AI Open-Sources an "Anti-AI-Slop" Tool for Web Design