

Some event recordings are available here: https://github.com/hellovai/ai-that-works
π¦ ai that works: Coding Agents in Parallel with Worktrees
βπ¦ ai that works
βA weekly conversation about how we can all get the most juice out of todays models with @vaibcode & @dexhorthy
βhttps://github.com/ai-that-works/ai-that-works
β
βSince ~ May 2025, there's been a ton of buzz around AI coding agents, parallelizing workflows, and its not stopping any time soon. On this episode we'll go deep on the tech that can help you push the limits of these tools, including:
βCrash course on Git Worktrees
βFile and Spec Management, tradeoffs in hardlinks vs symlinks
βtmux as a building block for collaborative agent workflows
βThis one's gonna feel a little different but as always we'll do some deep technical diagrams, get hands on with the code, and give you actionable tricks you can use to get more (maybe even better?) results from AI tools.
βPre-reading
βTo prevent repeating the basics, we recommend you come in having already understanding some of the tooling we will be using:
βDiscord
βCursor or VS Code
βProgramming languages
βApplication Logic: Python or Typescript or Go
βPrompting: BAML (recommend video)
βMeet the Speaker π§βπ»
βββMeet Vaibhav Gupta, one of the creators of BAML and YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D. E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision!Β
βMeet Dex Horthy, founder at HumanLayer and coiner of the term Context Engineering. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.
Some event recordings are available here: https://github.com/hellovai/ai-that-works