MartinLoop helps engineering teams safely scale AI coding agents from experiments into accountable, measurable production workers.
AI coding agents are powerful, but they can also run too long, spend too much, change the wrong files, and leave you guessing what happened. MartinLoop gives every agent run a budget, safety checks, rollback, and a clear receipt showing what changed, what passed, what failed, and what it cost. Use the MCP or directly in your CLI. Model-agnostic above the agent.
One thing we learned building MartinLoop is that the expensive part is usually not the first mistake. It is the polite retry loop after the first mistake, when nothing important has changed and the system keeps spending anyway.\n\nThe most useful rule we found was simple: before another retry, show what changed. If the answer is basically 'nothing useful', stop the run.\n\nIf you have seen an agent burn time or budget in a boring way instead of a dramatic way, that is the failure mode we care about most.