AI

Building an app with AI feels easy - until real users arrive.

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.

If you heard a strange buzzing over Zagreb last week in November, don’t worry - that was just 80 developers trying to outsmart the internet at the SheepAI hackathon.

Why use a mile of words when a few key tokens can do the job? Welcome to the world of smart, lightweight prompt compression.

As Tejas Kumar explains, AI isn’t about the tools themselves - it’s about reclaiming time, boosting creativity, and using what’s already at your fingertips in clever, unexpected ways.

AI agents are rewriting the rules of the web, and Mozilla and Cloudflare warn that the agentic web threatens publishers, privacy, and the future internet economy.

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.

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

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.