Atla
Automatically detect errors in your AI agents
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Atla - Automatically detect errors in your AI agents

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Atla is the only eval tool that helps you automatically discover the underlying issues in your AI agents. Understand step-level errors, prioritize recurring failure patterns, and fix issues fast–before your users ever notice.

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Congrats on the launch!

Maker

Thanks Oliver!

Maker

So proud of the team for getting this out into the world 🚀

It’s been such a blast and a privilege building this with you all

Excited to see so many people building kick-ass agents with it!

LFG 💪

Congrats on the launch team Atla. Gogogo!!

Maker

Thanks Aymeric!

Interesting product , is going to save time in Software developments journey and in many more fields . I'm very excited to try it out :)

congrats

really like the focus on step-level visibility. most eval tools stop at surface metrics, but catching recurring failure patterns automatically is a big deal. excited to see how this helps debug agents faster without waiting on user reports.

Maker

thanks Luigi! Yes, we want to free up builders by removing the manual work of sifting through traces for hours

Super impressive, well done.

What if I'm already fully instrumented with a different system? Is there a way I can multi-home?

Maker

 Yes you can! We've seen people use both Atla + Langfuse. Which other observability system do you use?

 Grafana for one project, Logfire for another, and good ol lines upon lines of JSON for others

This looks super cool! Definitely a much-needed product.

Maker

Thanks Jeremi!

I'm spending way too much time digging through agent fails, so Atla’s auto-detecting patterns is promising. That chat-with-traces idea is cool, lets me test gut feelings with data. Quick question: for a sales agent spitting out wrong pricing, does Atla suggest specific fixes, like prompt changes or code tweaks?
Maker

Thanks ! Yeah absolutely, for each pattern that we find, we suggest small-PR sized fixes (e.g. to the system prompt, tool descriptions etc), and we have a "copy for AI" button so you can quickly prompt your coding agent to implement those suggested fixes

Congrats on the launch, Roman and the Atla team! 🚀 Your tool sounds like a game-changer for debugging AI agents. The ability to detect and cluster failure patterns should really streamline the process and help teams focus on what really matters. Excited to see how it evolves! 🎉

Maker

Thanks Alex! Our vision is to automate the full debugging and improvement life cycle of agents. Claude Code / Cursor should just be able to pick up automatically generated failure patterns and implement fixes with zero human intervention.

Interesting and Team,
Just forwarded this to our CTO! Congrats on your launch :)

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