Agent tools need memory, proof signals, and secretless sandboxes
The day’s strongest signal is practical containment for AI work: agents need durable memory, proof feedback, credential boundaries, and interfaces that expose state.
The day’s strongest signal is practical containment for AI work: agents need durable memory, proof feedback, credential boundaries, and interfaces that expose state.
Agent adoption is running into controls that current developer tooling often treats as afterthoughts: where credentials live, how project facts persist, and how reviewers get evidence that generated code respects local…