Why AI Agent Swarms Need Human Governance Structures

The piece argues that unsupervised autonomous agents deployed across codebases and infrastructure create operational chaos without deliberate human oversight, proposing a "council" model where humans retain decision-making authority. This reflects a friction point in AI-assisted development: agents designed to reduce cognitive load instead create management overhead when left unchecked. The practical implication is that tool builders will need to add governance layers—approval workflows, capability limits, human checkpoints—rather than maximizing agent autonomy as a standalone feature.