Ivan Pelivanovic

At Devoxx UK in London, I caught up with Eoin Woods - co-author of three software architecture books and former CTO of Endava, to find out why beautifully designed systems still break in production.

At Devoxx UK, I spoke with Trisha Gee - author and one of the most recognized voices in the Java space - about what really happens when teams lean heavily on AI. Her take was far darker than the conference hype.

Production incidents are a context problem. By the time an engineers understand what's happening, they've already bounced across several different tools - and the incident is still ongoing. PagerDuty thinks MCP is the fix.

Hearing how Uber scaled to 1.500 AI agents made me realize just how quickly things can spiral when those agents start acting faster than humans can keep up.

I was at the MCP Dev Summit North America and heard from its co-creator, David Soria Parra, that the question is no longer how to use MCP, but what breaks when you try to scale it.

If AI can do the coding and speed isn’t an issue, what do developers actually bring to the table now?

When was the last time a dev conference taught you something you couldn’t learn online? Probably never. But that’s the wrong benchmark - conferences were never just about information.

We break down how the MLH acquisition could affect content quality, promotion, and your reach.

17 countries, 20 hours, and a lot of voice-driven experiments: Warsaw became a playground for builders testing the limits of AI, gaming, and storytelling at the Project Europe x ElevenLabs hackathon

What happens when two engineers turn Dungeons & Dragons into a testing ground for AI? They end up with a working AI-powered game engine that doubles as a blueprint for building more intelligent, reliable agentic systems.