Artificial Intelligence

After spending time with OpenClaw and seeing how it actually works, I’m convinced the hype is real. It shows that autonomous AI agents are finally living up to their promise.

I was in the room at this year’s Pragmatic Summit when Laura Tacho dropped the numbers: nearly all developers use AI coding assistants, over a quarter of production code is AI-written - and yet productivity gains haven’t budged past 10%.

That number is expected to rise to 65% within two years. Yet 96% of developers, according to this Sonar research, say they don’t fully trust AI-generated code.

With AI building features, teams must shift from doing tasks to orchestrating them - PMs guide intent, engineers oversee systems, designers review output live, and QA builds self-healing processes.

We’re past just making better tools: machines will do the repetitive coding, and humans will focus on guiding, judging, and architecture.

Ex-Tesla AI director now programs mostly in plain English with AI, calling it the biggest workflow change in 20 years.

Until now, AI could only advise and plan, never act. But MCP is finally letting it bridge the gap between thinking and doing.

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.

Traditional software obeys rules. Agentic, probabilistic software… well, it negotiates them.

17 countries, 20 hours, and a lot of voice-driven experiments: Warsaw became a playground for builders testing the limits of AI, gaming, and storytelling at the Project Europe x ElevenLabs hackathon

If you think the web is moving fast, Netlify CTO Dana Lawson is here to tell you - it’s about to shift into a whole new gear.

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