Demystifying AI Agents: A New Primitive for Flow Control
summary
Argues that AI agents are just two new software primitives: chat completion and an agentic loop where an LLM receives function callbacks and iteratively calls them. Shows a Dagger prototype that ties a onepassword secret, an Alpine base container, and the GH CLI to a GPG41 LLM, with Dagger integration producing an OpenTelemetry trace of exec calls, retries, and a failed PR list attempt due to a wrong token, demonstrating the pattern works but isn’t production-ready yet.
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chapters (11)
- 0:00Introduction
- 1:05Why AI agents matter
- 3:37Software primitives evolution
- 5:23New AI agent primitives
- 7:54Agentic loop as primitive
- 8:57Opportunities for systems engineers
- 10:21Framework explosion and needs
- 12:47Modern system layer with primitives
- 14:11Demo introduction
- 15:56Live agentic integration demo
- 20:56Closing and future
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