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Gone are the days of babysitting your AI. As Gift Egwuenu showed at Infobip Shift, agents now think and act for themselves - planning, booking, and getting things done.

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?

The logic behind a simple game of 'Guess Who?' is identical to how we code one of the most transparent AI algorithms. In Decision Trees, we don’t guess - we ask the question that gives the most information, and mastering that intuition teaches the core of predictive Machine Learning

5G was never just about faster speeds. It promised ultra-low latency, edge computing, and smarter connectivity. Sounds perfect, right? Except for one minor hiccup: developers couldn’t access any of it. That’s finally changing.

What happens when two engineers turn Dungeons & Dragons into a testing ground for AI? They end up with a working AI-powered game engine that doubles as a blueprint for building more intelligent, reliable agentic systems.

Software design has always been human-centered. But in the age of AI agents, that’s starting to look like a limitation, not a virtue. The future of software is not in good UX, but in great AX.

Whether AI will replace human developers has become a typical headline. A recent talk at the Infobip Shift conference in Zadar took a more subtle approach: The future of software development isn’t a human-versus-machine battle but a new kind of collaboration.

Behind every text, voice call, and digital message that reaches our phones, there's a sprawling, complex system of servers, cables, and code. For a company like Infobip, which processes up to 10 billion messages a day, this infrastructure isn't just a foundation — it's a story of evolution.

What happens when AI agents stop just chatting and start acting, collaborating, and transforming business - powered by developers behind the scenes? Magic!

So, in 2025, which should you choose: PyTorch for fast-paced AI experimentation or TensorFlow for rock-solid production - and could the real answer be BOTH?

84% of developers now use AI daily - mostly LLMs. They’re great for cutting workloads, but risky in the wrong spots. Here are 5 times AI shines, and 5 times it can totally wreck your work!

'Who could refuse that?' Turns out, almost no one - especially when faced with puppy eyes, heartfelt asks, or a desperate Pikachu. Refusing is hard, and it costs more than we admit.

The first-ever scientific research on procrastination among developers revealed 14 positive and 9 negative effects of delaying work.