The most interesting thing I have built with AI in the last few weeks is not a single project.
It is the way several small projects started helping each other.
I have been working on SWE Forge, swe-forge-pi-subagents, SelfContext, and a growing collection of custom AI agent skills. They are different repositories with different jobs, but each iteration leaves something behind that makes the next iteration easier.
A better context for brainstorming. A reusable skill. A workflow that removes repetitive decisions. A clearer opinion about what I trust AI to do and what I still want to review myself.
That is the part of AI productivity people tend to underestimate. It is not only about asking a model to write code faster. It is about building a loop where your context, tools, habits, and software start to compound.
