Cole Medin

I have been running an AI second brain as a developer for the past year, and it saves me at least 20 hours every week. It knows my repos and the conventions in each one, dispatches coding work to run in the background, drafts my email replies, and pings me on Slack when something needs my attention. In this talk I will show you how to build one in TypeScript.

We will walk through the four parts that make it work. The memory is just markdown files that the agent writes to and curates itself. Hybrid search runs over that memory so the agent pulls the right context at the right time. A scheduled loop makes it proactive, reviewing what happened yesterday, promoting what mattered into long term memory, and surfacing what needs me today. And an integration layer connects all of it to my repositories, my inbox, and the rest of the platforms I actually work in.

You will leave with the full architecture and a clear path to building your own.

I have been running an AI second brain as a developer for the past year, and it saves me at least 20 hours every week. It knows my repos and the conventions in each one, dispatches coding work to run in the background, drafts my email replies, and pings me on Slack when something needs my attention. In this talk I will show you how to build one in TypeScript.

We will walk through the four parts that make it work. The memory is just markdown files that the agent writes to and curates itself. Hybrid search runs over that memory so the agent pulls the right context at the right time. A scheduled loop makes it proactive, reviewing what happened yesterday, promoting what mattered into long term memory, and surfacing what needs me today. And an integration layer connects all of it to my repositories, my inbox, and the rest of the platforms I actually work in.

You will leave with the full architecture and a clear path to building your own.

You'll learn how to move beyond basic prompting to create comprehensive workflows to give your AI coding assistants all the architecture, best practices, project rules, code examples, and validation processes it needs to get the job done effectively. Through hands-on exercises with Claude Code, we'll demonstrate how proper Context Engineering unlocks a whole new level of agentic engineering while teaching practical techniques, templates, and best practices that help AI assistants understand your project standards and deliver production-ready code consistently.