Only 7% of Organizations Using Kubernetes for AI Do So Daily
Two-thirds of organizations run AI workloads on Kubernetes, but only 7% do it daily. Katie Gamanji says the ecosystem still needs better operational maturity and standards.
Articles by: Ivan Pelivanovic
We Usually Blame the AI Model, But the Harness Is What Breaks Production
Mike Chambers, Developer Advocate at AWS, says the real test of AI is not whether a demo looks smart, but whether the system around it can survive real-world use.
Being a Senior Engineer Doesn’t Mean You Never Need Help
The jump from mid-level to senior engineer is often framed as a technical one. Michelle Brenner says the real difference is judgment: understanding the business, making pragmatic trade-offs, and knowing when to ask for help.
PewDiePie’s AI Experiment Is What Software Development Looks Like Now
I let the dust settle, and this is what I think: regular apps usually need teams of dozens to ideate, build, and test before they ship. Odysseus, PewDiePie’s new AI platform, doesn’t - at least, not in the usual way.
Instagram’s Co-Founder Says He Doesn’t Review Every Line of Code Anymore
At the AI Engineer conference in San Francisco, I heard Instagram co-founder Mike Krieger say developers no longer need to review every line of code by hand. The real job now is judging AI’s decisions and whether the product solves the right problem.
It May Take Longer to Review a PR Than It Takes to Write It
That mismatch is becoming the real cost of AI-assisted development: code ships faster, but the work of understanding it, checking it, and trusting it hasn’t sped up at all.
Why Good Architecture Still Fails in Production
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.
Trisha Gee: AI Won’t Fix Your Broken Pipeline – It Will Break It Faster
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.
When systems go down, devs still juggle 10 tabs. PagerDuty says MCP fixes that
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.
Uber Shares What Happens When 1.500 AI Agents Hit Production
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.
MCP Co-Creator Explains Why MCP Needs More Than the Protocol to Scale
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.
Some Engineering Teams Won’t Be Ready for AI Orchestration – and It Will Cost Them
If AI can do the coding and speed isn’t an issue, what do developers actually bring to the table now?
Tech Conferences Aren’t Dead. But Why We Go Is Changing.
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.