Inside Garry Tan's Claude Code Setup
In a Nutshell
Garry Tan, Y Combinator CEO, shares his Claude Code setup via GStack—an open-source tool (70k+ GitHub stars) that turns AI into a specialized engineering team with skills like Office Hours (YC-style product reframing), adversarial reviews, and design generation. Demo builds a tax app extracting 1099s from Gmail and banks via AI browser automation, refining a half-baked idea into a feasible MVP through structured reviews that fix bugs, handle edge cases, and score designs. In the agent era, thin scaffolding unlocks models' potential for 10-50 daily PRs; build fast—what will you make?
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Garry Tan is president and CEO of Y Combinator. He's an engineer who spent the first decade of his career building software full-time. He studied computer systems engineering at Stanford, was employee number 10 at Palantir as engineer, designer, and product manager. He co-founded Posterous, a microblogging platform sold to Twitter, and built the first version of Bookface, YC's internal social platform and knowledge base. He's written a lot of code in his career.
We're in a completely new era of building software: the agent era. The way to get agents to do real work is like humans: as a team with roles, process, and review. He built GStack to encode this 3 weeks ago, now with more GitHub stars than Ruby on Rails. GStack turns Claude Code into an AI engineering team. He's coded more in the past two months than all of 2013, the last time he worked hard as an engineer.
Started playing with Claude Code in January after hearing Andrej Karpathy and Boris Cherny say they weren't manually writing code anymore. Got hooked. Built all of Posterous (originally took 2 years, $10M, 10 engineers) using it.
Out of the box, the model wanders, doesn't know your data, guesses—leading to plausible-looking code that silently breaks. Bottleneck is not model's intelligence; once set upright, models are smart enough for extraordinary work. Scaffolding should be thin harness, fat skills. GStack is his open-source repo implementing this: skills acting like a team of specialists.
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