The era of the "chatty bot" is over. While LLMs are great at talking, developers are still stuck with the "grunt work". Such as manually syncing data, formatting slides, and managing Git commits. It’s time to move from AI that answers questions to AI that executes professional workflows.

In this session, we build a high-autonomy digital coworker. You’ll learn how to bridge the gap between reasoning and action using a modern agentic stack:

LangGraph: The "brain" providing stateful reasoning and complex flowchart logic.

Model Context Protocol (MCP): The "USB-C for AI" that connects LLMs to local files, GitHub, and web tools without custom API glue.

The ReAct Pattern: A "Think-Act-Observe" loop that allows agents to research, document, and deploy autonomously.

Stop building bots that just talk. Join us to learn how to build agents that handle your research and commit your code.