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Blog

Updates, deep dives, dashboards, and news from the Knowledge Space team.

Release notes, domain expansions, architecture decisions, and field reports from running a 785-article knowledge base for AI agents. When we add a new domain, rebuild tooling, or hit a wall worth writing about, the story lands here first before it becomes reference material. Subscribe via RSS or the email form on any article page.

Recent topics include rebuilding the MkDocs pipeline for 800+ articles, Cloudflare Pages + GitHub Actions deploy ergonomics, llms.txt autogeneration on every build, and how we measure whether an AI agent actually benefits from having a curated reference versus open-web search. Practical engineering, not think-pieces.

About this blog

Short posts are written in the same dense-reference style as the main knowledge base: code first, context second, no padding. Long-form articles land here when a topic needs more narrative than a reference card can carry — usually a decision with tradeoffs, an incident post-mortem, or a field test of a new tool. Every post is tagged with the domain it affects so you can filter by what you care about.

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Recent posts

My CLAUDE.md is 582 lines. Here's why.

Every new Claude Code chat starts from scratch. The agent doesn't know your project, doesn't remember what you discussed an hour ago in another window, has no idea that a specific port on your server is off-limits. You explain the same things for the fifth time, and on the sixth try the agent still goes in to "fix" a config that was working fine.

Every week on r/ClaudeAI there's a new story. An agent deleted a production database. An agent pushed secrets to a public repo. An agent "optimized" a billing service and charged customers zero. Each time you read it, you think: I really don't want to be that person in the headline.

CLAUDE.md is supposed to solve both problems - context between sessions and protection against catastrophes. A typical CLAUDE.md at 5-10 lines solves neither. I decided to approach this as an architecture problem, not a list of reminders.

You're in. Here's what we built (and why).

AI agents confidently make things up. They hallucinate API flags, invent config options, and mix up version-specific behavior. Not because they're broken - because they don't have a reliable source to check against.

So we made one.