​🦄 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

​On this week's AI That Works, we'll explore the great Bash vs. MCP debate - what's better for helping coding agents do more?

​We'll talk about:

1. ​Token efficiency and Downsides of JSON

2. ​Writing your own drop-ins for MCP tools

3. ​Other advanced tricks like .shims for forcing uv instead of python or bun instead of npm

​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 🧑‍💻

​​​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! 

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.