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▲ code_biologist 44 minutes ago

I'm having bad results with SotA models. Some questions, if you're up for it:

In your workflow, who implements the review feedback - the review subagent or the code-writing-subagent?

Do have a baseline styleguide (like Google's Go style guide) for the review subagents, or is it entirely the subjective things and specific corrections? I remember 6 months ago it seemed like piling general "good taste" code advice into AGENTS.md was considered bad.

Do you move between harnesses or have you gone all in on claude? I've bounced between claude/codex/omp, maybe to my detriment.

▲code_biologist 19 minutes ago | parent [-]

Not asking for answers to these questions, just frustration dumping:

The biggest things I've struggled with are models having taste. For spec writing I was having a lot of issues with them making statements that were interpretable in a superposition of ways, eg "we'll do XYZ with entities that support and need it" when there's 3 possible entities and the model hand-waved at exactly the wrong tokens.

I added AGENTS.md guidance + memories to be unambiguous (with short but good examples) and "no coined shorthand". Now I'm getting a marked increase in specificity, but it's places that don't matter (claude explaining existing code to itself). I'm having difficulty controlling the spew of new text, but feature writing/research still gets fuzzy and lazy around the difficult underspecified aspects of the problem/feature.

Do I just keep dumping examples into reviewer subagent context and have them rewrite and simplify the research subagent spew?

I repeatedly have "Risks and gotchas" sections have a whole paragraph dedicated to things that don't matter, and then a single sentence bullet point that's actually a huge problem when I dig into it.

Do I have a generic hook to make subagents to review bullet points and size them commensurate with impact? If I tell them to "have taste", do they have taste?

I'm just trying to get good code done. I hate these things.