tl;dr: AI-generated code became roughly as good as a median engineer in late 2025, flipping the economics of software: code is now cheap and disposable, more like a cache of understanding than a durable asset. This makes traditional engineering discipline—observability, behavioral tests, evals in production, immutable/regenerable artifacts—more important, not less, since humans are the weakest link at validation but still essential for creativity, architecture, and defining specs. The author predicts 2026 will be a return to discipline, with massive payoffs for the small minority of teams that already work in tight feedback loops.