Coding agents feel like magic: point one at a codebase, ask it to fix a bug, and it reads files, edits code, runs commands, and iterates until the task is done. But under the hood, the core ideas are surprisingly approachable.
In this live-coding talk, we’ll build a small coding agent from scratch and use it to demystify how tools like Claude Code or Lovable work. We’ll look at the agent harness: the application layer that talks to the model, maintains context, exposes tools, interprets tool calls, etc.
Put your tools, products, and engineering work in front of builders working with agentic AI.