AI Coding Works—But the Infrastructure Around It Doesn't

While large language models have become proficient at writing code, the surrounding infrastructure—multi-repo management, architectural decisions, and system design—remains unsolved and cannot be specified upfront. The real bottleneck has shifted from individual coding tasks to the factory that coordinates them, requiring deterministic constraints, business-context awareness, and iterative refinement rather than upfront planning.