AI

Over time, the content a messaging campaign sends can shift away from what was originally approved. We call this campaign drift, and in business messaging, it's a real and recurring problem.

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.

Jordan Topoleski (COO, Cursor) and Pallavi Mahajan (CTO, Nokia) made the case that the next real breakthrough in AI development is agent orchestration.

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.

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.

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.

A new kind of builder is emerging inside organizations - one that works fast, ships often, and rarely follows the instincts of a software engineer. That raises a simple question: what happens to security?

AI can write the code. The harder question is whether anyone still understands what it was supposed to do six months later.

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.

Anyone who’s clicked "always allow" on an agent knows the outcome: broad permissions, minimal oversight, and results that are correct on paper but strange in practice.

As AI tools reshape how software is built, the engineers in our new video say the job is shifting from writing every line by hand to guiding, reviewing, and orchestrating what AI produces.

At a CTO Craft Dinner in Toronto, I sat down with engineering leaders from more than a dozen tech companies and asked where AI has actually landed. The free-for-all is over and we need to be realistic.

This team was shipping production code at the same time as the MCP specification was taking shape. That is the reality of working with a technology that was evolving in real time.