Context

TL;DR Context creation was still ad-hoc even with the three-layer memory system in place. Every new language meant manually crafting another CLAUDE.local.md file and repeating the same research process. The research process was repeatable. Looking at what made my Python context effective, I noticed the same pattern: current tools, common mistakes, workflow problems. The structure was consistent across languages. Prompt template generates research-backed contexts. Feed it “python” or “golang” and get comprehensive development contexts through 12-15 targeted searches of authoritative sources. ...

Over the past ten years, I’ve spent considerable time and energy trying to shorten critical time gaps. The time it takes attackers (the good kind) to find bugs, defenders to mitigate, and responders to act when things go sideways. This has always been about data—getting the right people the right information at the right time. I’ve built systems designed to reduce friction, perform the drudgery that bug hunters do at scale (before AI made this interesting), and tackle attack surface problems before ASM was a thing. In every case, success hinged on that fundamental principle: right people, right data, right time. ...