Your agents are starving! Airbyte’s Michel Tricot on the data ingestion crisis
Dev Interrupted

Your agents are starving! Airbyte’s Michel Tricot on the data ingestion crisis

B2Upper-intermediateSeptember 8, 202644 min
  • Interview
  • Technology

If your AI agents are starving for accurate context, or breaking production because they have way too much access, you are officially in the middle of the data ingestion crisis. This week, Airbyte CEO and co-founder Michel Tricot unpacks the massive data access and context sprawl challenges that are crippling AI workflows in production. He and Andrew dive into the critical need for strict data permissions, automated entity resolution, and why the transition to agentic workflows perfectly mirrors the paradigm-shifting migration from bare-metal servers to the cloud. Finally, Michel explains why obsessing over short-term AI ROI is a massive...

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And if your orgs can't, then that makes coordination tricky at best.

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who and who is a major part of understanding how even your engineering org works. And that's

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0:00

Welcome back to Dev Interrupted, brought to you by Linear B. My guest today is Michel Trico, CEO and co-founder of AirBite. And he puts his finger on the whole SAS data sprawl problem. Can your systems tell that Alice in GitHub, Alice in Jira,

0:19

and Alice in Salesforce are all the same Alice? Most agents can't answer that. And if your orgs can't, then that makes coordination tricky at best. tricky at best, especially across platforms where your context lives. And reconciling

0:34

who and who is a major part of understanding how even your engineering org works. And that's why we built that layer here at Linear B. So mapping action across tools and contexts is how you prove outcomes. And we're about to learn strategies about how to achieve that from Michel. So, Michel, it's really great to have you here.

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