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I first met Benoit Schillings, VP of Research at Google DeepMind, in San Francisco to talk about what engineers do when AI writes more of the code. His answer: make sense of the massive systems we inherit. Now, he’s bringing that perspective to Zadar for Infobip Shift 2026.

Getting Debezium to stream the first PostgreSQL change into Kafka is straightforward; keeping it correct through failover is the interesting part.

I set out to see how easily an AI agent could be manipulated by harmless-looking spreadsheets, so I kept escalating the prompt injection until it either caught on or took the bait.

We spoke with 3 engineers to ask the blunt question: is AI making junior developers better or just faster at shipping code?

We make many mistakes with MCPs, but one of the biggest is treating them like a 1:1 REST API mapping - when in reality, an MCP tool should be a capability, not just another endpoint.

Everyone is busy asking how big the model is, but the real question is what you fed it first - because if your PDFs are mangled and your OCR is sloppy, even the smartest LLM starts from the wrong answer.

Latest articles

VP of Research, Google DeepMind: “The mundane work of writing code is going away.”

How to Survive Database Failover – Debezium and PostgreSQL in Production

AI agents aren’t safe from prompt injection, and spreadsheets prove it

AI Is Making Junior Developers Faster, But Is It Making Them Better Engineers?

MCPs Aren’t APIs – Stop Treating Them Like One

AI Is Only as Good as the Document Pipeline Behind It