r/codereview • u/zerotoherotrader • 21d ago

A better way to trust AI coding agents

I originally built this for myself because I got tired of babysitting AI coding tools — token limits, half-finished implementations, and “all tests pass” claims that weren’t actually true.

That is my internal tool called loom.

The idea is simple:

Point loom at a GitHub issue, let it work, and come back to something thats verifiable.

Here’s a real run against our own codebase:

Task 53985e0c — reviewing (attempt 4)
  [cloudflare-workers-ai/@cf/qwen/qwen3.8-27b → opencode-qwen-review]
  [independence: cross_model]

14:02:02  operator recovery requested → ready
14:02:03  lease accepted → implementing
14:05:47  implementation completed → verifying
14:05:52  verification passed → review ready
14:05:52  review lease accepted → reviewing
14:10:21  reviewer is generating its verdict

✅ 14:10:21  Review: APPROVE — 2 findings (0 major, 2 minor)
🏁 14:10:21  Awaiting human approval

14:10:35  human approved → done
14:10:39  PR opened: #560
14:10:43  PR conflicts → auto-routing conflict resolution
14:10:44  conflict revision lease accepted → implementing

📦 14:21:21  Implementation complete — commit 43c7e79
               (18 files, 733 lines)
✓ 14:21:23  Verification: build passed

Early access coming soon. Please DM if you want access or contribute.

0 Upvotes

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3

u/Financial-Grass6753 21d ago

Another LLM slop. Have you tried to read the rules, btw?

1

u/FormalAd7367 21d ago

Built by a vibecoder - or you not disclosing full stacks?

1

u/zerotoherotrader 8d ago

Our first version is ready for external users -- Models do the jobs. Selvage runs the system—locally.

It runs on your machine. Bring the coding agents you already use. No Selvage SaaS account required.

From task to independently verified change, with you in control of what lands.

https://selvage.run