Adding a copilot is not an engineering strategy.

Code generation changes the cost of producing a change. It does not automatically change the cost of understanding, reviewing, integrating, deploying, and operating that change. If those stages remain constrained, more generated code simply reaches the queue faster.

Measure flow, not tool activity

Acceptance rates and generated lines are easy to collect and weakly connected to outcomes. Track lead time, review latency, change failure rate, recovery time, escaped defects, and how quickly a team learns whether a change helped. These reveal whether assistance improves the system or relocates effort.

Architecture becomes more important, not less

When implementation becomes cheaper, teams can create inconsistency faster. Clear module boundaries, executable standards, paved roads, and concise architectural decisions give both people and tools the context to produce changes that belong in the system.

change:
  intent: reduce_checkout_failure
  boundaries: [payments, observability]
  evidence: [contract_tests, error_budget]
  owner: checkout_team