MartinLoop: a control plane for AI coding agents
MartinLoop is an open-source control plane designed for AI coding agents. It introduces features like budget stops and verification processes to enhance accountability in autonomous coding. The tool aims to provide teams with better control over costs and completion proofs when using AI coding agents in production.
- ▪MartinLoop is an open-source tool for managing AI coding agents.
- ▪It includes features such as budget limits and verification of task completion.
- ▪The goal is to improve governance and accountability in AI coding practices.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/cryptokeesan/martinloop-a-control-plane-for-ai-coding-agents-3dg5 |
| Publication time | Wed, 27 May 2026 01:39:14 +0000 |
| Retrieval time | 2026-05-27T02:07:56.149Z |
| Last seen | 2026-05-27T02:07:56.149Z |
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| Summary source text | contentText |
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| Cluster | c-v972-Tsmcb · 2 stories |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 918212) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } keesan.eth Posted on May 27 MartinLoop: a control plane for AI coding agents #ai #devtools #opensource MartinLoop MartinLoop is an open-source control plane for AI coding agents. It adds hard budget stops, JSONL run records, and verify-gated completion so autonomous coding stays accountable. We built it because agent loops are powerful, but most teams still do not have enough control over cost, retries, or proof of completion.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).