Overview
Parallelism increases merge and review complexity. Two issues that appeared independent may
touch the same code or make incompatible assumptions. Accurate dependency modeling and post-merge feedback loops are required.
Higher throughput can overwhelm human review. Parallel agents can produce code faster than a team can examine it. This creates an unresolved capacity problem: parallel agents can generate more review work even while they reduce implementation time.
The merger can repair mechanical integration failures, but it cannot decide whether the combined product has taste or satisfies an unstated expectation. Manual QA remains part of the system.