AI engineering, LLM patterns, and building things that work.
I've been writing about context management at the individual and team level. This post zooms out: if context is the real bottleneck in AI, who owns it across an organization — and what does that do to our roles?
Anthropic accidentally published 512,000 lines of Claude Code's source. The interesting part isn't the model — it's the context management plumbing around it.
Business automation used to stall where the easy stuff ended and the judgment calls began. That's changing — not because AI replaces workflow tools, but because the people who unde...
I've spent months building context management patterns by hand. Here's how the four major platforms are solving the same problems at the infrastructure level — and what it means fo...
Anthropic shipped a memory tool that looks structurally identical to the markdown files I've been maintaining by hand. Here's what each approach gets right, where they diverge, and...
We've been solving the 'too complex for one person' problem for decades in program delivery. Now some team members are language models — and the coordination overhead is measured i...
Six years ago I helped a CPG company dream up a smart meal planner. We never shipped it. This year, my wife and I built it — and we use it every week.
Running three AI agents sounds expensive. It's cheaper than running one — if you put the right model in each role.
Splitting a single AI agent into a team didn't just change the workflow — it changed how context flows through the whole system.