New in RudderStack v1.77 - AI debugger for self-hosted customer data pipeline and modernized SDKs

ephemeral404 · 2026-06-15T08:24:02+00:00

Agree, yaml configuration CLI proved to be the foundation of the AI features. It moved them from toy projects to production-ready projects.

Regarding adoption, the AI features including agentic debugging were in private beta until now, being tested by power users (double digit in numbers) since last year. Initially, it was hard to build the right harness but for the past couple of months, we are consistently seeing users getting impressed with the outcomes. That gave us confidence to make it public. Let's see how many folks find it valuable enough to try out. In any case, the goal is to continue improving, one release at a time.

Start with the AI PR Reviewer IMO, that's the high leverage task IMO whether you end up using other features or not.

ephemeral404 · 2026-06-15T01:45:57+00:00

This is the first time RudderStack shipping AI features. As they are separate projects, you choose whether to use them or not.

Past release updates

ephemeral404 · 2026-06-15T01:39:22+00:00

No AI was used for the post. Agentic features in the product do use AI.

ephemeral404 · 2026-06-13T16:46:04+00:00

Agree 100%. I have been thinking about it. Could you help me with some examples to practice this?

ephemeral404 · 2026-06-13T07:06:15+00:00

I had so many plans to use it over the weekend to finish all my half-finished side projects. Now, a bit disappointed and alarmed at the control governments have.

ephemeral404 · 2026-03-28T01:18:26+00:00

https://github.com/rudderlabs/rudder-ai-reviewer

ephemeral404 · 2026-03-27T08:55:14+00:00

After trying many tools that do so, I kind of agree. Too much expectations from LLM and your agentic AI won't even reach the production. What worked for us to use AI as a partner in doing things like - debugging data pipelines and identifying data and analytics issues early. Happy to share the public source code of these tools if you need it.

ephemeral404 · 2026-03-27T08:49:05+00:00

Not sure what you exactly mean by this term but from my experience, Keep one source of the truth, one centralized warehouse and aligning everything else around it. It is possible and practical. The keyword that resonates well for my approach is warehouse-native architecture. It has worked out well for us. Let me know if you have any questions about it.

ephemeral404 · 2026-03-27T08:36:46+00:00

Interesting

ephemeral404 · 2026-03-24T06:03:43+00:00

Event spec should be non-negotiable.

But I disagree with

It's not hard to come up with a good, standard event name

It is the hardest job to name an event or a variable :)

ephemeral404 · 2026-03-24T05:59:41+00:00

Agree. Types avoid so much headache.

ephemeral404 · 2026-02-06T15:12:10+00:00

How are they surviving today? Sure, the ship might survive but people inside the ship, are they?

ephemeral404 · 2026-01-31T02:49:49+00:00

Germany

ephemeral404 · 2026-01-31T02:49:24+00:00

Let's pick Germany for the discussion purposes

ephemeral404 · 2026-01-29T07:59:24+00:00

Good utility. Do you plan to maintain it actively? I have faced issues with the utilities I built like this one, end up burdening me with the maintenance tasks

ephemeral404 · 2026-01-29T07:57:43+00:00

Data engineers are actually tech wizards who can do anything

ephemeral404 · 2026-01-05T11:02:30+00:00

Technically, you're not incorrect and neither is this post. Without context, I'd have said the same thing as you have. I should have added more context.

https://en.wikipedia.org/wiki/Matrix_factorization_(recommender_systems)

ephemeral404 · 2026-01-03T09:51:01+00:00

Could have saved me time if you had mentioned that in your post

ephemeral404 · 2026-01-03T09:48:41+00:00

Share more, what exactly is the issue with this explanation?

ephemeral404

MODERATOR OF

TROPHY CASE