Originally published on AI Tech Connect.
What you need to know If you lead an engineering organisation in 2026, the coding-agent question has changed shape. It is no longer "should we let developers use these tools" — they already do, whatever your policy says. The question is whether the organisation converts near-universal individual usage into team-level throughput, or spends eighteen months generating more code, longer review queues and an unexplained cloud bill. The short version of this playbook: give the rollout a single owner, almost always the platform or developer-experience team, and a written AI-usage policy that is enforced by pipelines rather than goodwill. Start agents on work where failure is cheap — tests, small fixes, dependency updates — and graduate them to cross-module changes only when the data says…
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