Bigger context, worse agents
I've been experimenting with feeding agents larger volumes of context. The pattern is steady: the bigger I make it, the worse it looks. Meanwhile, the rest of the field is racing the other way.
AI engineering, LLM patterns, and building things that work.
I've been experimenting with feeding agents larger volumes of context. The pattern is steady: the bigger I make it, the worse it looks. Meanwhile, the rest of the field is racing the other way.
I built an AI to watch a Common Redstart nesting in my garden. Two weeks later she left the box and never came back. The AI didn't notice — and that was the lesson.
A 21energy Ofen 2 sits in my hallway — heating the air and hashing Bitcoin. This is the Home Assistant logic that decides when, why, and at what tier.
A workflow layer for solo Claude Code that sits on top of the externalized context architecture. Four slash commands, one knowledge file, and a session protocol that keeps discipli...
Two months of running the agent-team starter prompt taught me which rules actually hold. The ones wired into tooling survived. The ones that only lived in prose were the first to e...
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...
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...