

π¦ ai that works: HyperEngineering: advanced context engineering for coding agents
βπ¦ ai that works
βA weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy
βhttps://www.github.com/hellovai/ai-that-works
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βBy popular demand, AI That Works #17 will dive deep on a new kind of context engineering: managing research, specs, and planning to get the most of coding agents and coding CLIs.
βYou've heard people bragging about spending thousands/mo on Claude Code, maxing out Amp limits, and much more. Now Dex and Vaibhav are gonna share some tips and tricks for pushing AI coding tools to their absolute limits, while still shipping well-tested, bug-free code. This isn't vibe-coding, this is something completely different.
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 (A vscode replacement)
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
Meet Dex Horothy, founder at Human Layer - a YC company. He spent 10+ years building devops tools at Replicated, Sprout Social and JPL. DevOps junkie turned AI Engineer.