Agent products are being designed as controlled operational systems. OneDev anchors coding work in issues, pull requests, and continuous integration (CI); Avriz gates learned model routing through shadow tests and…
Teams can adopt agents more safely by attaching their work to existing review records, evaluating models on narrow production workloads, and testing memory controls as observable product behavior.
The day’s strongest signal is operational control over AI work. Software factories need contracts and tests. Claude Code’s nested agents need context boundaries and spend caps.
Engineering teams can move agentic development into narrower production workflows by adding explicit controls around context, spend, validation, and data invariants.