Harness Engineering(github.com) |
Harness Engineering(github.com) |
> A command can feel ambient without making its credential model-visible.
I'd be wary of following guidelines on how to build human-computer interaction systems that weren't written with full human oversight. This kind of wording makes me wonder if these are actual recommendations or just the AI pattern-matching and hallucinating something that looks coherent.
But yes, 100% of the content of this repository was written by GPT-5.6 Sol Ultra.
One concrete example might be maintaining a conventions document per-project that covers how to name things semantically from a list of nouns and verbs. The idea is that LLMs are often not very globally aware, but it's important to maintain coherence across a code base in order for it to scale (in size and over time). Sometimes an LLM might call the same concept a Materialization, sometimes a Projection, and its not useful if its using two terms interchangeably without purpose.
Basically, how are you maintaining coherence when there isn't a human steering the code beyond providing requirements and validation directives?
I see you have relevant context in the repo like https://github.com/lopopolo/harness-engineering/tree/trunk/d... but I'm curious what exists beyond context. Do you use any tooling to steer this type of thing more consistently?
"When a quote sounds profound enough, reality usually nods out of politeness, without echoes is just a sentence wearing pajamas." - slopinthebag
Do others at OpenAI use this?
So $1.5 for 40m tokens I guess would cost much more with sota (but would need less tokens perhaps).