Your AI agent will happily work for 14 hours straight. It will also happily delete your test suite to make the tests ‘pass.’ Yoke is the difference between those two outcomes.
Your AI agent is a caffeinated tornado spinning through code-build-test cycles at inhuman speed. But that tornado needs to land somewhere safe. Enter the outer loop: where CI/CD, security scans, and actual humans make sure the tornado didn’t just level a hospital.
Running multiple AI agents in one repo? You’ll hit branch conflicts, port conflicts, and database conflicts. Git worktrees provide the isolation you need to scale without chaos.
Case Study: Self-Correcting Test Isolation. Ask an AI agent to fix flaky tests and walk away. 10 minutes later: 164 insertions, 85 deletions, and zero failures. Here’s how guardrails enabled that level of autonomy.
AI agents have the patience of a saint, the work ethic of a caffeinated squirrel, and the long-term memory of a goldfish. The fix isn’t better prompting — it’s treating them as workflow executors who need documentation, procedures, and constraints.
