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Successful AI developer tools must balance synchronous co-pilot style assistance with asynchronous autonomous agent workflows. Ivan Burazin from ep.9

AI agents and automated operators require actionable metadata to autonomously coordinate data usage and pipeline stability. Viktor Kessler from ep.16 on the importance of metadata and catalogs for the future of AI and agentic architectures.

User experience and developer interaction with complex data abstractions remain a significant challenge beyond the technical integration. Nikhil Simha & Varant Zanoyan from ep.2

The value proposition of formal methods becomes clear when dealing with complex distributed transactions involving multiple independent services. Jayaprabhakar(JP) Kadarkarai from ep.5

Startups and new products increasingly prioritize serverless models to reduce user friction and accelerate adoption. Philippe Noël from ep.12

Decentralized data architectures require robust infrastructure for managing governance, access controls, and rules across distributed data sources. Viktor Kessler from ep.16

Engineering excellence requires continuous learning from past successes and failures, which is often documented and shared in high-quality engineering cultures. Jayaprabhakar(JP) Kadarkarai from ep.5

Everyone’s heads down on AI these days, but please take a break and soak in some deep systems wisdom from Josh Howard . He’s one of the folks behind R2 at Cloudflare After all, whatever you build in AI will sit on top of these foundations. check Tech on the Rocks for the episode

SlateDB is getting more and more adoption from increasingly interesting projects. I just found out about CompactLog. Amazing job Chris

We are looking for someone who knows what they are doing around Databases and enjoys intellectual challenges to help coordinate / design / complete a proper subquery decorrelation framework in ApacheDataFusion . Please email / discord / slack me if that is you.