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.
MartinLoop - Controls for Coding Agents Alternatives
Looking beyond MartinLoop? Try Kilo Code for open-source agent engineering, Warp for an ADE workflow, Lyzr for private agent SDKs, and SuperHQ to run coding agents in microVM sandboxes—safer, auditable, and DevOps-friendly.