What are the three main bottlenecks that prevent effective parallel AI development?

The three bottlenecks are: 1) clearly conveying requirements to the agent, 2) ensuring the generated code is functionally correct, and 3) maintaining code quality and architecture over time. All three require deep human involvement, creating a single-point bottleneck that limits parallelism—no matter how many agents you launch, you still have to review and guide each one sequentially.