

π¦ ai that works: Ralph Wiggum under the hood: Coding Agent Power Tools
βπ¦ ai that works
βA weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy
β
βWe've talked a lot about how to use context engineering to get more out of coding agents. In this week's episode, we're going to dive deep on the Ralph Wiggum Technique and why this totally different approach to coding agents can change the way you code. We'll explore using ralph for
βGreenfield projects
βRefactoring projects
βGenerating specifications
βSurprise surprise, the answer is better context engineering.
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
Meet 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.