Agentic Coding Live with Chelsea Troy
Published by O'Reilly Media, Inc.
Stop prompting blindly. Learn to steer, verify, and make AI work with you.
Join Chelsea Troy, machine learning operations team lead at Mozilla, for a weekly, 30-minute hands-on series for anyone who wants to use agentic coding tools more effectively.
Each Thursday, Chelsea explores one practical technique you can use the very next day. Every session is self-contained and features a live demo using a real agentic coding tool, so you can drop in any week and leave with something useful.
Learn how to turn complicated data and information into clear visuals and tools, decide what to hand off to an agent and what to keep, verify confident-sounding output before it reaches anyone else, and use AI to deepen your understanding.
Leave with a better way to build, decide, verify, and grow with agentic AI.
What you’ll learn and how you can apply it
- Use agents to turn complex data and information into clear visualizations and practical tools
- Identify what to delegate to an agent and where your judgment and expertise are needed
- Check agent output for accuracy and catch confident-sounding mistakes before you share or ship
- Use AI to deepen your understanding and build skills you can apply beyond the current task
This live event is for you because...
- You’re a developer or technical professional who wants to use agentic coding tools to build more effectively.
- You’re working with complex data or information and want to turn it into useful visuals, tools, and repeatable workflows.
- You want to make better delegation decisions, verify AI-generated output, and strengthen your own understanding as you work.
Prerequisites
- Come with your questions
- Have a pen and paper handy to capture notes, insights, and inspiration
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Thursdays at 8:00am PT / 11:00am ET
- 30-minute interactive demo followed by a 15-minute Q&A.
Your Host
Chelsea Troy
Chelsea Troy leads the machine learning operations team at Mozilla. She also teaches in the Master’s Program in Computer Science at the University of Chicago. Her online workshop, Fundamentals of Technical Debt, is available On Demand through the O’Reilly platform, and she also gives live courses about machine learning, large language models, and product thinking.