Official Session Summary
Pulled from the live conference page.
Most AI assistants are still just chats with tool access. This talk shows a different approach: using MCP as a personal runtime. I'll walk through how Kody uses `search`, `execute`, and `open_generated_ui` to discover capabilities, run sandboxed workflows, manage and use memory, keep secrets out of prompts, and turn generated interfaces into reusable software. The goal isn't a better model. It's making AI assistants portable, secure, and actually useful across MCP hosts. In this talk, you'll learn that with the right primitives, you can create a highly capable assistant without paying an extra cent for inference.
Speaker Background
Quick context on the person or people on stage.
Independent software engineer and educator, widely known in the JavaScript world and increasingly active in agent workflows, DX, and pragmatic tooling.
Why This Slot Matters
A compact framing layer for navigating the conference.
This is one of the more substantive abstract-backed sessions on the schedule; worth opening when you need enough context to decide whether to stay in the room.