AI는 엔지니어링 규율을 덜이 아니라 더 요구함

As AI code generation becomes nearly instantaneous and cost-effective, code transitions from a scarce, carefully-preserved asset to a readily-regenerable artifact—fundamentally shifting where engineering discipline must focus. The key disciplines move from manual code review to production evaluation, observability, and characterization testing, mirroring the infrastructure industry's shift to immutable infrastructure where understanding is captured in tests and production metrics rather than in code itself. This transformation doesn't reduce the need for engineering rigor; it elevates it to new levels of verification and production-centric discipline.