Latest Articles

If notifications were money, most apps would be bankrupt from all the trust they’ve blown on useless pings. Here’s how to fix them.

The following is an attempt to clarify the circumstances of a production incident that happened more than 10 years ago; it is also a lesson to all of us to decouple our production servers from boilers in distant Balkan countries.

Unlike earlier tools that generate static content, World Models learn the rules of reality, predicting physics, cause-and-effect, and interactions.

Same reasons for quitting, same salary expectations, same frustrations. Wait a minute, where is it coming from? Let's see... Oh, no. Reddit.

As AI moves from generating code to taking real actions, MCP provides a crucial safety net - but only if developers enforce strict controls and monitor every move.

AI will happily dive in and try to do everything you ask - but just like a mischievous dog, it sometimes gets it spectacularly wrong, warned Atlassian’s Dugald Morrow.

Developers still have agency, but now they also have smarter tools. The question is: are they using them wisely?

As AI coding assistants level up from autocomplete to autonomous, the real challenge isn’t what they can do - it’s how we use them wisely.

It’s no longer about fixing syntax errors - it’s about figuring out why a billion-parameter model did something totally unexpected.

It’s Halloween. Want to read a horror story? This one’s set in a data center.

After months of work, your AI agent can run tasks, create content, even make decisions. Exciting - but how do you use it safely and effectively in the real world?

AI moves faster than your last commit - and so do hackers. Security can’t be an afterthought; it has to run alongside your code, like invisible, always-on seatbelts keeping users safe.

Managing Python dependencies has always been a pain point - from slow installs to version mismatches across projects. uv aims to fix that.