Software Factory Operations

Repeated pipeline execution must be safe for automated recovery to work reliably.

AI agents need review tools built for pipeline speed, not human-paced workflows.

Agents can generate passing tests without specifying actual business requirements.

It's a self-reinforcing feedback loop, not a pipeline with human handoffs.

Escalation design matters more than confidence scores for autonomous agents.

AI agents are colliding on code at rates that choke build pipelines.

Agents produce too many PRs for humans to catch flaky tests anymore.

Old velocity metrics fail as AI agents flood pipelines with code that doesn't ship.

Five practices let platforms safely scale AI agents from prototype to production.

Agents double your PR volume, but your merge queue wasn't designed for that load.