Software Engineering

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.

At Infobip Shift, accomplished speaker and engineer Teresa Wu will talk about how AI is transforming software delivery, multi-platform development, and the future of engineering teams.

Developers share how they handle deadlines, pressure, and team communication - and why small white lies sometimes help engineering teams keep moving.

Twenty developers got real about their jobs: the rush of shipping something that actually works, the way a fat paycheck can make you stay longer than you probably should, and the slow death of sitting through another meeting that should've been an email.

That number is expected to rise to 65% within two years. Yet 96% of developers, according to this Sonar research, say they don’t fully trust AI-generated code.

We’re writing more code than ever thanks to AI - but remembering how it all works a year later is quickly becoming the real hard problem.

Traditional software obeys rules. Agentic, probabilistic software… well, it negotiates them.

To get the full power of a Deployment Pipeline, you need more than tools - you need practices that let it shine and reveal both your strengths and your weaknesses.

I came dangerously close to becoming a walking Java meme - until virtual threads swooped in like a caffeinated superhero and saved me from endless callback hell.

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

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.