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# Closing Keynote: Garry Tan, Y Combinator

**[AI Engineer](https://daily.dev/sources/aidotengineer)** · 21 min read · 3 upvotes · 0 comments

## Summary

Garry Tan, CEO of Y Combinator, argues that AI-native companies are not just using AI as autocomplete but treating it as a full workforce. He claims a 400x productivity multiplier is achievable by structuring agent workflows like organizations: skill files as employees, resolver tables as org charts, and a curated 'company brain' as institutional memory. YC's Winter 2025 batch, where 25% of companies had 95% AI-generated codebases, became the fastest-growing and most profitable in YC history. Key principles include: never do one-off work (always 'skillify' it), distinguish between latent space (LLM judgment) and deterministic space (code execution), and treat the company brain as production infrastructure requiring active curation. Tan also introduces GBrain, an open-source MIT-licensed memory/retrieval layer for agents, and encourages founders to build the defining company in the personal and organizational AI memory space.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=eBUyTS7SzV4>

---

Tags: [#startup](https://daily.dev/tags/startup), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#claude-code](https://daily.dev/tags/claude-code), [#context-engineering](https://daily.dev/tags/context-engineering)

[View this post on daily.dev](https://daily.dev/posts/closing-keynote-garry-tan-y-combinator-pneyyqbaz)

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