Tuesday, February 3, 2026
I kept seeing people build wild stuff with OpenClaw - agent swarms, automated research, specs that write themselves, etc. So after a lot of back and forth, I had to try it. I spun up my own setup, named it Q, and started wiring it into a real project. So here’s a quick tour of how the system actually works, why it’s useful, and how the pieces talk to each other.
First two weeks of 2026 have been crazy on the AI front. There’s been a lot of Claude Code talk (at least in my bubble) and it feels like every day you have to learn something new… and unlearn something else…. and that’s equal parts exciting and anxiety-inducing.
I’ve never been the kind of developer who treats code like a craft to perfect but more like a tool to build what I want (I’m a mediocre dev at best)… and now that AI is removing a lot of this “writing code” friction, I think what will remain valuable is how you think: problem framing, tradeoffs, and turning messy reality into something clear, elegant that’s actually providing value for the end user. That’s the part that excites me.
The anxiety comes from not knowing whether what I build today will be obsolete tomorrow, given how fast everything is moving.