More agents, less cost
Running three AI agents sounds expensive. It's cheaper than running one — if you put the right model in each role.
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.
My AI coding setup worked — until I noticed I was spending more time checking output than building. The fix was giving the validation job to another agent.
The tedious work of program management was never just overhead. It was also how we learned the craft. AI is automating that path — and nobody's talking about what replaces it.
The manual context management patterns that work today map surprisingly well to the agent memory architectures being built for tomorrow.
I rebuilt my Claude Code starter prompt around .md files as external memory. Here's why and how.
The biggest bottleneck in long-running AI sessions isn't model intelligence — it's context management. Here's what I've learned about keeping AI on track across complex, multi-sess...
A multi-phase journey from cloud-dependent heating to fully local, custom-hardware control.
There are faster ways to ship a blog. I picked Express + Handlebars anyway — here's why.