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
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.
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.
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!
Textbooks are great, but let’s be honest - sometimes students need a study buddy with a sense of humor and a knack for explaining photosynthesis. This is where our AI assistant enters the scene.