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.
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.
Google Careeer Ladder for Engineers Explained
This article provides a detailed overview of Google’s career structure, from the entry - level L3, up to elite titles like Google Fellow - L10.
Why Good Architecture Still Fails in Production
At Devoxx UK in London, I caught up with Eoin Woods - co-author of three software architecture books and former CTO of Endava, to find out why beautifully designed systems still break in production.
Developers are the reason behind best (and worst) parts of software development
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.
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.
A Future Where Nobody Writes Code Manually Might Be Closer Than It Seems
As AI tools reshape how software is built, the engineers in our new video say the job is shifting from writing every line by hand to guiding, reviewing, and orchestrating what AI produces.
Tokens and PR velocity won’t tell you if your AI investment is paying off
Your AI metrics might be measuring the wrong thing. Dr. Catherine Hicks explains how to fix the theory, not the dashboards.
Doist CEO: ‘The bar to create has dropped, but the quality bar has risen’
Amir Sahefendic, CEO and founder of Doist, says success now depends on solving real problems and building products people actually want to keep using.
This IDE Plugin Shows the Energy Cost of Your AI Prompts
When tech company ustwo assessed one AI product’s carbon footprint, they found most came from AI inference. It raised a question: if AI has a measurable environmental impact, why is it almost invisible to everyday users?
CTOs Agree: Cognitive Debt Is the New Technical Debt
At a CTO Craft Dinner in Toronto, I sat down with engineering leaders from more than a dozen tech companies and asked where AI has actually landed. The free-for-all is over and we need to be realistic.
AI generates larger pull requests. Larger pull requests bring more bugs.
What economist Charles Goodhart said in 1975 is completely applicable in 2026: When a measure becomes a target, it ceases to be a good measure.