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shiru sunleft a comment
The idea of making AI reasoning auditable is really compelling — most of the value in a coding session lives in why a decision was made, not just what was committed. Curious how it handles sessions where the reasoning was messy or exploratory (lots of dead ends) — does it try to clean that up into a coherent narrative, or preserve the full chaos?
XHawk 0.99Transform Coding Sessions & Code into a System of Context