What are the three main bottlenecks that prevent parallel AI agent development, and why do they make parallelism ineffective?

The three bottlenecks are: clearly conveying requirements to the Agent, ensuring code functional correctness, and guaranteeing code maintainability. All three require deep human involvement—reviewing code, negotiating requirements, and directing architecture—turning humans into a single-point bottleneck. Since human attention is serial and limited, launching multiple Agents only creates concurrent queuing, not true parallelism. This is the core problem addressed in [Parallel Development Experience Bought with Thousands of Dollars in Tokens: Let a Group of AI Agents Write Code for You](/news/parallel-development-experience-bought-with-thousands-of-dollars-in-tokens-let-a).