Ivan Simic

As a Solutions Engineer at Atlassian, Chris Davidson works with clients in an effort to make the most of Atlassian's tools and has first-hand experience of how we adapt to using AI.

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.

Amir Salihefendic, CEO and founder of Doist, says success now depends on solving real problems and building products people actually want to keep using.

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?

Watching AI product evolution from the sidelines makes you feel like things are going fast, but according to Anthropic's Gian Segato, that might not be the best metric.

Vibe coding stopped feeling like an experiment and became something... else. Many people using it couldn’t really explain what they’ve built, just that it works. Until it doesn’t.