Production Signal Integration

Measuring agent execution paths, not just final outputs, reveals production readiness.

Agents can fix performance regressions faster than humans can review them.

AI agents overwhelm code review systems built for human-speed development.

Enriched breach signals and sandboxed validation enable agents to remediate SLOs safely.

AI agents need telemetry built for machines, not dashboards built for humans.

True automated rollback requires health checks, deployment history.

Structured signal schemas let AI agents act confidently on production data instead of guessing.

Agents need production failures routed back into their coding loops.