Latest Articles

The fastest way to create technical debt in AI is still the oldest one: choosing a database because it feels comfortable.

The AI boom is no longer just a race to build faster machines. The real challenge now is making all the moving parts work together at scale.

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.

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.

I went to Raise Summit in Paris to see whether Lovable is just another tool for non-technical founders - or something developers can actually use to build faster.

The promise of JPA is simple: define your entities, let the framework handle the rest. And it works until you look at what "the rest" means.

Building software is full of ups and downs. Some days, you're working with the best team you can find, and others it's up to you to fix something with no idea how it works and no access to documentation.

We asked engineers how far AI can really go in software delivery, and their answer was simple: it can speed things up, but people still have to make the decisions.

Amir Salihefendic, CEO and founder of Doist, says success now depends on solving real problems and building products people actually want to keep using.