The article argues that relying solely on human oversight creates a bottleneck when agents write code faster than developers can review it. To solve this, engineers should build pipelines that delegate simpler review tasks to specialized agents rather than attempting to inspect every line manually. For instance, implementing a multiple agent system like qa swarm allows different models to hunt for specific issues such as security vulnerabilities or naming conventions before a human ever sees the pull request. This approach ensures that only genuinely ambiguous or critical threads require human intervention, significantly reducing the cognitive load on senior staff.
Furthermore, beyond the actual code inspection, the author highlights the importance of automating review related toil to prevent context switching fatigue. By deploying loops that handle routine maintenance tasks like monitoring CI status or re running flaky tests, teams can preserve their energy for complex architectural decisions. Similarly, low risk pull requests can be auto approved by an agent called StampHog which applies deterministic checks on blast radius and diff size, effectively filtering out noise before it reaches the developer community.
Finally, the piece emphasizes prioritizing direct observation over trusting agent reasoning, especially when validating large changes. Instead of accepting an argument that code works, developers should decompose work into smaller, independently runnable stacks where behavior can be verified at each step. This strategy not only prevents early mistakes from compounding but also enables automated systems to approve small diffs confidently, creating a robust feedback loop that scales better than traditional manual review processes.