Cover Image for πŸ¦„ ai that works: Ralph Wiggum under the hood: Coding Agent Power Tools
Cover Image for πŸ¦„ ai that works: Ralph Wiggum under the hood: Coding Agent Power Tools
Avatar for Boundary
Presented by
Boundary
We make BAML, a programming language for using LLMs. Some event recordings are available here: https://github.com/hellovai/ai-that-works
Hosted By
572 Went

πŸ¦„ ai that works: Ralph Wiggum under the hood: Coding Agent Power Tools

YouTube
Registration
Past Event
Welcome! To join the event, please register below.
About Event

β€‹πŸ¦„ ai that works

​A weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy

​https://github.com/ai-that-works/ai-that-works

​

​We'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

  1. ​Greenfield projects

  2. ​Refactoring projects

  3. ​Generating specifications

​Surprise surprise, the answer is better context engineering.

​Pre-reading

​To prevent repeating the basics, we recommend you come in having already understanding some of the tooling we will be using:

  • ​Discord

  • ​Cursor or VS Code

  • ​Programming languages

    • ​Application Logic: Python or Typescript or Go

    • ​Prompting: BAML (recommend video)

​Meet the Speaker πŸ§‘β€πŸ’»

​​​Meet 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.

Avatar for Boundary
Presented by
Boundary
We make BAML, a programming language for using LLMs. Some event recordings are available here: https://github.com/hellovai/ai-that-works
Hosted By
572 Went