three.dev is now generally available: find out how your AI agent fails before your users do
Almost every team we talk to now runs AI in production. Very few of them really know how it behaves once real users show up. Nothing crashes, so the team hears about failures from its users first. Today three.dev is gen
Almost every team we talk to now runs AI in production. Very few of them really know how it behaves once real users show up. Nothing crashes, so the team hears about failures from its users first.
Today three.dev is generally available, and it's built to fix that. Here's the short version. The full post is on our blog.
What it does
- Connect with one prompt. Paste it into Claude Code, Cursor, or Codex. Your agent routes your LLM calls through three.dev. You keep the AI SDK and provider you already use.
- Find failures automatically. three.dev scores your requests in the background, with zero impact on your users. It groups the issues it finds into failure modes, ranked by severity. New failure modes carry a "New" label, so a problem that starts to grow stands out.
- Fix with your coding agent. Hand a failure mode to your agent over the three.dev MCP server. It gets the failing requests and why each one failed.
- Check the fix. When the fix ships, watch the failure mode. If it stops showing up in your traffic, the fix worked.
Launch offer: sign up between November 9 and 22 and get the Starter plan free for six months.
The setup prompt:
Install github.com/round3ai/skills and run its three-dev-setup skill in this repository.
OpenAI, Anthropic, Gemini, Azure OpenAI, and LiteLLM work today.
Try three.dev on your own agent.
Disclosure: I'm the product lead at three.dev.
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes โ full credit and traffic to the original publisher.