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.
Products used by MartinLoop - Controls for Coding Agents
Explore the tech stack and tools that power MartinLoop - Controls for Coding Agents. See what products MartinLoop - Controls for Coding Agents uses for development, design, marketing, analytics, and more.
Codex 3.0 by OpenAICodex can now build, test & debug on autopilot
5.0 (44 reviews)
Codex makes the autonomous coding loop feel real: build, test, debug, and keep going. MartinLoop is the control layer around that kind of workflow so teams can see cost, proof, scope, and stop reasons.
GitHubHow people build software
5.0 (622 reviews)
GitHub is where MartinLoop’s open-source core, examples, issues, and community feedback live. It is the natural home for developer infrastructure that needs trust, review, and a public audit trail.
