How Convenient JPA Defaults Broke Our Kotlin Microservice
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.
Archive for the category: Software Engineering
AI Helps Ship Faster, But It Doesn’t Do the Thinking
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.
Great Developers Are Curious, Creative, and Ready for AI
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.
We Asked 20 Developers Why They Really Got Into Tech. It Wasn’t the Money.
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.
42% of Code Is Now AI-Assisted!
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.
If You’re Going to Vibe Code, Vibe Responsibly!
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.
Probabilistic Software Engineering, Demystified
Traditional software obeys rules. Agentic, probabilistic software… well, it negotiates them.
What It Takes to Fully Benefit from a Deployment Pipeline
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.
How Virtual Threads Saved Me from Becoming a Meme
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.
How ‘Guess Who?’ Logic Shapes AI Decision Trees and Predictive ML
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