potter098

This feels useful if it improves first-acceptance rate rather than just making prompts longer. I'd be curious whether you track how often people keep the rewrite as-is vs editing it back down, especially once the learned stack hints start to accumulate.

The code-fix workflow is the interesting part here. I’d want to know the acceptance and later-revert rate on the suggested diffs, especially for things like focus order or contrast where the rule is detectable but the right fix can still be product-specific. That feels like the line between ‘useful CI guardrail’ and ‘extra review noise.’

The drift detection angle is interesting. I'd be curious how you handle cases where two daemons touch related files — is there a way to declare ordering constraints in the .md file, or do they run in isolated branches?

I’d be curious how you’re handling freshness for tool caches. Exact-match caching seems great for pure functions, but once a tool depends on external state I’d want a TTL or invalidation hook, otherwise the hit rate can look great while the answer is already stale.

The interesting part to me is recovery after the first generated script goes stale. I’d be curious whether you measure success as 'initial generation works' or 'the same flow still passes after small DOM/layout changes a week later', since that seems like the boundary between a neat demo and something a team can rely on.

The weighted-diff idea is more interesting than raw LoC, but the real challenge is separating throughput from rework. A team can look 'more productive' simply because the agent helped them generate more change volume, even if review burden or rollback risk also went up. The metric gets a lot more credible if you pair it with something like review acceptance rate, revert rate, or time-to-merge stability rather than presenting one weighted number alone.

The bigger issue here is not telemetry by itself, it's shipping a context-insensitive integration into a tool people use across unrelated repos. If the overhead is real, that turns a convenience plugin into something teams have to actively defend against.