MartinLoop

A developer from MartinLoop argues that unbounded retry loops in agent systems are the primary driver of cost and trust erosion, not initial failures. The team implemented a control-layer policy with …

A developer at MartinLoop identifies unbounded retry loops as the primary cost driver in AI agent failures, arguing that repeated attempts under unchanged conditions compound mistakes rather than reso…

MartinLoop, an open-source control plane for AI coding agents, introduces hard budget stops, JSONL run records, and verify-gated completion to enforce accountability in autonomous coding workflows. Th…