Fast feedback works very well for Claude Code harnesses.

Opus 4.6 is very good at hypothesising about how to do something, but quickly conflates its hypothesis with fact and overcommits to the (possibly) wrong approach.

If you provide DX that lets it fail quickly, accumulate context and hypothesise again, it can solve outsized problems.

I’m interested in less planning and more *steering* using fast feedback.