AI agents need their own identity and least-privilege access
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.
Archive for the category: Artificial Intelligence
How AI Helped Me Survive the Shift from Backend and DB Architecture to Native iOS
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.
VP of Research, Google DeepMind: “The mundane work of writing code is going away.”
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.
AI agents aren’t safe from prompt injection, and spreadsheets prove it
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.
AI Is Making Junior Developers Faster, But Is It Making Them Better Engineers?
We spoke with 3 engineers to ask the blunt question: is AI making junior developers better or just faster at shipping code?
MCPs Aren’t APIs – Stop Treating Them Like One
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.
Cursor and Nokia: AI Matters Less for Speed Than Expanding Developers’ Capabilities
Jordan Topoleski (COO, Cursor) and Pallavi Mahajan (CTO, Nokia) made the case that the next real breakthrough in AI development is agent orchestration.
Your .env File Wasn’t Built for AI Agents. 1Password Has a Better Way.
AI agents are already being trusted with real work, but handing them raw credentials is a dangerous shortcut. That's why the next security challenge is controlling what an agent can do once it gets access.
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.
What If the Biggest Bottleneck Behind AI’s 10× Promise Is the Human Engineer?
Engineering teams are starting to resemble legacy Java apps hitting thread exhaustion. I believe change is unavoidable, and we need a better way to organize the work.