Atla
Automatically detect errors in your AI agents
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Garry Tan

Atla - Automatically detect errors in your AI agents

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Y Combinator
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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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Maurice Burger

Very proud to see this go out into the world today - automatic error detection of agents is a seriously hard problem and the team has worked super hard to make this work well out of the box

Oliver Colebourne

Congrats on the launch!

Roman
Maker

Thanks Oliver!

Mathias Leys
Maker

So proud of the @Atla 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 💪

Aymeric Zhuo

Congrats on the launch team Atla. Gogogo!!

Roman
Maker

Thanks Aymeric!

Farhan Nazir ✪

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

Luigi Pederzani

congrats @romanengeler

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.

Roman
Maker

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

Maurice Banerjee Palmer

Super impressive, well done.

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

Kyle
Maker

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

Maurice Banerjee Palmer

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

Jeremi Orlowski

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

Roman
Maker

Thanks Jeremi!

Hannah Cooper
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?
Sashank Pisupati
Maker

Thanks @hannah_cooper4! 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

Alex Cloudstar

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! 🎉

Roman
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.

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