Often I find LLMs doing multiple steps to achieve some goals (e.g. do certain operations against JIRA or Gitlab), and if the LLM work seems useful, I instruct it to create a tool to achieve the task more directly and revise skill data to make use of the tool.
replyGranted I've let it mostly vibecode those tools, so they might be garbage. I should perhaps have it do a refactoring round to make more composable tools..
You are completely wrong, but one might get that impression from not using SOTA models in the Sonnet ballpark.
replyI think both preceding comments are a bit too strongly worded. I’m experimenting as well with pairing deterministic programming with llm use in a similar fashion and find that it allows you to squeeze more out of smaller models than with llm-only agentic loops. It is also no question for me that the large SOTA models can do way more in llm-only agentic loops with less hassle and pre-work. If you discount the hassle of actually running them, that is.
So I guess it depends a bit on what your objective is.
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