I had good experiences doing multi-hour refactoring/housekeeping tasks that basically consisted of applying the same steps and rules n times.
Worth noting, a significant chunk of those runs involved the agent waiting for the compiler, linters, type checks, and test suites, as well as updating journals.
It’s not the agent sputtering out code for eight hours straight.
And naturally I spend more time on manual verification in the end as much less of it is happening during the coding process.
In this case, handling all the edge cases and variants, and testing a codemod, would have taken significantly more of my time, which costs quite a bit more than the LLM.
Obviously, a deterministic tool is preferable in general, but it is not always worth bothering with for a one off task.
I usually make the llms do that part for me. Instead of asking the llm to refactor, ask it to write the codemod script that'll refactor, have it test that script, and even have it run it on its own. It's definitely faster and less error prone that way for me.
Neither is your time writing that prompt. When people are talking about elaborate prompts, with a lot of detailed instructions, guardrails etc. I'm kind of assuming it takes time.
I do this too, with a document written for this purpose.
> ... a significant chunk of those runs involved the agent waiting for the compiler, linters, type checks, and test suites, as well as updating journals.
That is a good point. I'm mostly using C, which seemingly compiles in O(1) time, so I could imagine a large C++ or Rust codebase taking much longer to iterate simply due to compilation times.
Worth noting, a significant chunk of those runs involved the agent waiting for the compiler, linters, type checks, and test suites, as well as updating journals. It’s not the agent sputtering out code for eight hours straight.
And naturally I spend more time on manual verification in the end as much less of it is happening during the coding process.