That mismatch is becoming the real cost of AI-assisted development: code ships faster, but the work of understanding it, checking it, and trusting it hasn’t sped up at all.
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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.
I went to Raise Summit in Paris to see whether Lovable is just another tool for non-technical founders - or something developers can actually use to build faster.
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.
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.
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.
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?