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Mine traces to close the self-improvement loop

From WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar · ≈16:43

A specific implementation of self-improving agents: a dedicated harness reverse-constructs candidate context updates from traces and surfaces them for approve/reject.

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A specific implementation of self-improving agents: a dedicated harness reverse-constructs candidate context updates from traces and surfaces them for approve/reject.

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>> [snorts] >> Second thing, every AI interaction creates more context and harnessing this is gold. There's been I know a lot of talks about self-improving loops. We have found that with traces deploying a specific harness that actually is specialized in being able to go and reverse construct from that. So, think of it as AI that's reading through all your traces and almost brings it back to your maintainer loop and says, "Approve, reject. Approve, reject. Improve this over time." That's the compounding learning loop.