I run RektRadar, a real-time scam-token detector for Ethereum. This is an honest build-log of one session with Claude Code (the Fable model) where I went from "our scam detection misses a few things" to four new detection signals shipped and a three-repo real-time alert pipeline live in production. Every PR linked below is public.
Not "the AI did everything magically". The interesting part is the division of labor: where an agent is genuinely strong, where I had to steer, and the one moment it was about to do something dumb and I stopped it.
The setup
RektRadar is ~7 repos: a mempool watcher, a contract analyzer (7 sub-analyzers), a graph crawler, a Telegram bot, an Astro marketing site, a Vue app, and the Ansible infra. Node/TypeScript throughout, real test suites (the contract analyzer alone has ~7,000 tests).
I started the session with a list of detection gaps a security discussion had surfaced, and worked down it.
