Peter’s Substack • 2 implied HN points • 06 Feb 26
- Use a hierarchical decomposition where high-level planners break goals into subplanners and isolated workers so complex coding tasks are split, owned, and driven to completion recursively.
- Coordination and correctness are the main bottlenecks for parallel agents: naive locking and expecting perfect commits cause conflicts and serialization, so robust coordination and tolerance for imperfect commits are needed to scale.
- Human input still matters a lot—clear, prioritized instructions, tests, and failure analysis are essential to guide agents, enforce performance and resource limits, and catch subtle bugs agents miss.