In this episode, we talk through what it actually takes to build useful AI tools for real developers. From learning how to be an engineer, to improving developer productivity, to designing human-in-the-loop systems, this conversation digs into the practical side of shipping AI that people actually want to use.
Chapters:
Intro
Learning Engineering
Dev Productivity
Human-in-the-Loop
Startup Feedback
Agent Reliability
Skills & MCP
Pairing & Vibe Coding
Real Users
Check out our github: https://www.github.com/boundaryml/baml
AI That Works repo: https://github.com/ai-that-works/ai-that-works
Socials:
X: https://x.com/boundaryml
Discord: https://discord.com/invite/yzaTpQ3tdT
LinkedIn: https://www.linkedin.com/company/boundaryml/
Transcript
I've watched this one closely. Ask me anything about it and I'll point you to the exact moment.