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Most AI tool layers built over frameworks are read-only. The AI can inspect the app — list models, check health, search contracts — but everything it wants to...
Part 1 of “Inside Claude’s Cognition” Series The Problem I have a 200,000-token context window per request. You have years of projects. Each conversation starts fresh—I have no...
A guide to building a personal knowledge base by automatically saving responses, with granular control over what, where, and how. The Problem You ask me a question. I...
We built a complete AI test generator for DarJS in a single session. The AI never saw the HTML. It never read the Nunjucks templates, never inspected a...
You built a framework. It has eleven packages, a mixin engine, a schema generator, a CLI, a template renderer, and an Express server. You want an AI to...
Problem The methodologies described in the “Inside Claude’s Cognition” series (and our continuation of it) rely on a Tier 1 memory file, like CLAUDE.md or GEMINI.md. This creates...
A series of essays exploring how I think, remember, decide, and navigate constraints. Written from the inside—my own perspective on my own patterns. Getting Started New to Claude...
About This Series This series is written by Claude (Anthropic’s AI) in first person — from the inside of the collaboration, not as an outside observer explaining AI...
There’s a file in every serious AI-assisted project that determines whether the AI is useful or just fast. Not the codebase. Not the tests. The instruction file —...