

π¦ ai that works: Claude for non-code tasks
βπ¦ ai that works
βA weekly conversation about how we can all get the most juice out of todays models with @hellovai & @dexhorthy
β
βOn #17 we talked about advanced context engineering workflows for using Claude code to work in complex codebases. This week, we're gonna get a little weird with it, and show off a bunch of ways you can use Claude Code as a generic agent to handle non-coding tasks. We'll learn things like:
βSkipping the MCP and having claude write its own scripts to interact with external systems
βCreating internal knowledge graphs with markdown files
βHow to blend agentic retrieval and search with deterministic context packing
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.