that's a great phrase: hype engineering, i just find out about GTM engineering, it sounds to me if you use claude code for X, you can call it X engineering
i do agree, llm can not be deterministic, and that's why i sepereated the execution from planning in rigorix, execution phase is a deteministic DAG.would love to take a look at what you are doing, could you please share
yes, llm can use it via mcp, claude plans and writes the template , then handover to rigorix , it executes the DAG, without llm , completely deteministic
This is the only way I can think llm could be used meaningfully in an enterprise environment, sooner or later this is going to be a category, separation of plan and execution, exactly like terraform, I’m exploring this for a while now, saw many interesting ideas in your repo,especially ‚learn’ , would love to connect, mine is rigorix written in rust.
at the moment private i use mainly deepseek, about 80% and very very happy with it, at work we have copilot, i'm not sure, but the quality of service has got degraded in my opinion, speed is very low, i casually get error, api not available, especially gemeni-flash ,i have the feeling GPT5.4 is not as good as before, and with serious work i burn all my 400€ budget in 4 days
that's true, human are also off-script very often ,the difference is volume and level of off-script, human can generate max 400 LOC a day, that's manageable amount of cognitive load for another human to read comprehend and accept MR, in-out volume match, with 50k LOC , good luck reading that, and from level of off-script, i mean, a human off-script is usually still aligned with original intent, when agent goes off, it goes really off, start installing packages nobody know of or ask for to fix a unit test, that's different, very different