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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.

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How Convenient JPA Defaults Broke Our Kotlin Microservice

Developers are the reason behind best (and worst) parts of software development

AI Helps Ship Faster, But It Doesn’t Do the Thinking