Bio
Design Engineer at Notion. Building malleable software with AI. Previously research at MIT / Ink & Switch.
Session (1)
Additional Speaker Details
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Litt is a leading voice on "malleable software" — how end users and developers reshape their own tools in the age of LLMs — pairing a researcher's depth (MIT HCI PhD, formerly Ink & Switch) with hands-on, production-minded AI coding workflows like "coding like a surgeon." Attend for a sharp mental model of where AI is taking end-user programming, grounded in real prototypes and concrete agent workflows from his current work as a design engineer at Notion.
Speaking style
Big-pictureBattle-testedClear teacher
Recent talks (1)
GitHub
@geoffreylitt- geoffreylitt/wildcard★ 295A browser extension for customizing web apps with a spreadsheet view
- geoffreylitt/simple_recommender★ 128A simple recommendation engine for Rails/Postgres
- geoffreylitt/ladybug★ 43Debug Ruby programs using Chrome DevTools
- geoffreylitt/json-sheets★ 23Riffs on spreadsheets for manipulating JSON and building GUIs
- geoffreylitt/ambsheet★ 11Tiny spreadsheet language with ambiguous values
Recent writing (5)
- Code like a surgeon · blog · Oct 2025
- AI as teleportation · blog · Sep 2025
- Enough AI copilots! We need AI HUDs · blog · Jul 2025
- Is chat a good UI for AI? A Socratic dialogue · blog · Jun 2025
- Stevens: a hackable AI assistant using a single SQLite table and cron jobs · blog · Apr 2025
Podcasts & interviews (3)
- Malleable software and human agency with Geoffrey Litt · Imbue (Kanjun Qiu) · Nov 2025
- Geoffrey Litt — Designing Malleable Software at Notion · Dive Club · Jun 2026
- Geoffrey Litt: Software You Can Shape (Ep. 21) · Dialectic with Jackson Dahl · Jun 2025