Marin Pavelić

After months of work, your AI agent can run tasks, create content, even make decisions. Exciting - but how do you use it safely and effectively in the real world?

You finally built that AI agent. It writes code, drafts emails, maybe even runs tasks on its own. It’s powerful, useful - and ready to ship. But then reality hits: how do you actually price something like this?

We're all going from being software engineers writing code to model operators—code composers.

Infobip’s MCP is redefining how AI agents interact with real-world systems - enabling them to take meaningful actions with nothing more than a prompt.

Are you tired of the AI hype? Let’s see what it can really do.

Don't think of accessibility features as just for accessibility—they are features, helpful for everyone.

StackOverflow has an AI problem. Multiple AI problems, actually.

Product engineers are more than just traditional software engineers.

A well-defined hierarchy is essential for career growth, but you must understand the career ladder before climbing it.

We asked a developer turned Scrum master.

Dino was promoting innovation even when cloud was just a meteorological term.