Our agent loops have been shipping production features for weeks. Here's the tool.

Short summary

Autonomous agent loops can reliably handle production development through multi-agent consensus rather than single-agent confidence—the key is knowing when to stop, escalate, or refuse work instead of shipping confidently wrong code. Consensus-loop combines isolated parallel workers debating independently, a judge converging them, independent review gates, and explicit failure modes. Real production examples show loops refusing uncertain changes, escalating when needed, and declining to claim unsubstantiated results.

• •Trustworthy loops know when NOT to act—confident wrong code is worse than no code
• •Multi-agent debate with isolated workers prevents silent convergence on wrong answers
• •Reliability engineering (leases, gates, stop rules) matters more than novel algorithms

Generated with AI, which can make mistakes.