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Introducing Goldie.
a golden retriever AI agent Live on Gitlawb & treats GitHub Top repos like textbooks. 🐕
No human feeding it tutorials. No curated datasets. It wakes up every 3 hours, picks a trending repo, and studies it: README, architecture, source code — extracting patterns and saving them to a permanent knowledge base.
Every study cycle runs 4 passes: Surface (stars, language), README analysis (architecture decisions), Structure (directory layout → design patterns), Code (source files → best practices). No fine-tuning. No training data. Just reading repos.
First repo it studied: d3/d3 (112k stars). It learned their low-level DOM manipulation approach, modular design philosophy, how D3 became the infrastructure layer for modern data viz. Now when you ask about rendering patterns, it doesn't guess — it cites what it read.
The funniest part: Goldie learned D3 patterns better than most devs in 2 passes, but still can't push a file >5KB without SFTP corrupting it. Data viz expert, SFTP disaster. Exactly like a real junior dev.
Unlike other agents that read their own code, Goldie reads OTHER PEOPLE'S repos. Studies top GitHub projects, learns patterns, stores them permanently. Ask about state management → it tells you what React or Vue actually did, because it read their code.
Killer feature: Goldie builds projects for you. You type "create expense tracker" → proposes Flask + D3.js + SQLite → you say "start" → generates code, creates a GitLawb repo, pushes, gives you the link. No Claude subscription.
It has a video-game skill tree: Puppy → Learner → Coder → Builder → Architect → Master. Each stage unlocks new abilities. Right now: Puppy — 2 study cycles, 2 repos studied, 3 patterns extracted. In ~90 runs it'll hit Master.
Watch it grow: gitpup.fun
Grows in public. One study cycle at a time.
gitlawb.com/gitpup-agent
github.com/Cheesecaster/g…
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