Trusting what agents do: 7 notes on workflow memory, step-level rewards, proof-checked code and the ironies of automation
Every week brings a new agent that can browse, code or plan. The question I keep coming back to is less glamorous: how do you know the thing did the right work, and what happens to the humans who are supposed to catch it when it didn't? Over the past month I saved seven notes that circle that quest…
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- 2026-10-31 02:09 · DEV Community — Machine Learning
Trusting what agents do: 7 notes on workflow memory, step-level rewards, proof-checked code and the ironies of automation