Build an AI Agent with AI-Assisted Coding

Our Q&A will happen on Discord so come join us there and ask questions live (#podcasts channel)!   / discord  

In this free live workshop with Isaac Flath (Kentro Tech, ex-Answer.AI), Eleanor Berger (OKIGU, ex-Microsoft, ex-Google), and Hugo Bowne-Anderson (Vanishing Gradients), you’ll learn how to use AI coding tools to design, prototype, and build an AI agent, end to end.

Most developers use Copilot or ChatGPT to autocomplete lines of code. In this hands-on session, you’ll learn to go beyond autocomplete and use AI as a genuine collaborator, one that helps you reason, plan, and build systems that actually work.


You’ll learn how to:

Break down an agent problem into components AI tools can code
Prompt and guide your AI Assistant Cursor to implement each part (we’ll provide instructions for whatever assistant you use: Cursor, Claude Code, and more!)
Integrate generated code into a working Python application
Iterate, debug, and improve your agent collaboratively with AI

We’ll build a working agent together, a simple retrieval-based assistant that can:

Call external APIs
Retrieve and summarize information
Handle user input interactively


Along the way, you’ll see how to:

🧠 Use AI as a design partner, not just a code generator
⚙️ Evaluate and correct model-generated code
🔍 Debug collaboratively with AI tools
🔁 Apply iterative development principles to AI-assisted workflows

By the end, you’ll understand how to use AI coding assistants to go from idea to functioning agent, while maintaining control over quality, logic, and architecture.

00:00 Introduction and Welcome
00:20 Meet the Hosts and Workshop Overview
04:34 Workshop Goals and GitHub Link
06:22 Agentic Coding and Project Setup
09:09 Detailed Project Instructions
13:15 Implementation Steps and Agent Tasks
22:54 Planning and Research with AI
26:16 Executing the Plan and Model Selection
34:56 Reviewing the Plan and Adjustments
45:01 Finalizing the Plan and Starting Implementation
50:00 Context Windows and Effective Usage
50:52 GitHub Tools and Context Management
51:49 Executing the Plan: Step-by-Step
55:06 Multi-Agent System Implementation
56:30 Using Pydantic AI for Summarization
01:15:01 Continuous AI and Remote Agents
01:21:23 Debugging and Observability with Logfire
01:32:14 Final Thoughts and Course Information