ShiftMag

Infobip Shift 2026 is officially open, and OpenAI’s Luis Velasco said the real work now is bringing together the data, process, and systems agents need to do the job well and keep improving.

Figma’s Designer Advocate argued that AI can make prototypes look finished too early, which can hide dangerous assumptions.

We’re waiting for the next big AI leap - systems learning from their own experience rather than just human data - and at Infobip Shift, Google DeepMind’s Benoit Schillings said that’s exactly where the field is headed.

As infrastructure gets more complex, "inside the network" is no longer enough. Users, devices, and AI agents need their own identity and only the access they need.

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.

We're burning thousands of dollars on AI conversations that should've been a single slash command.

After five years in a codebase I knew by heart, I suddenly found myself back at square one in customer-facing native iOS development, and AI became my lifeline.

What sounds like a small API task is usually a full integration problem: sequencing, sync vs async, edge cases, and an old system nobody fully trusts.

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.

ShiftMag Insightful engineering content & community

OpenAI Says the Real Work in AI Coding Is Building the System Around It

AI speeds up prototyping, but teams still need to distinguish decisions from assumptions

Google DeepMind: AI’s Next Step Is Learning From Its Own Experience

AI agents need their own identity and least-privilege access

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

You Should Bring Your Ops to Slack

How AI Helped Me Survive the Shift from Backend and DB Architecture to Native iOS

The phrase that ruins every eCommerce project: “Just connect it to our ERP.”

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