What is it like to onboard a new robot to your team?
How well does the generative AI navigate code on day one in an ensemble?
What are effective ways the mob can interact well with ChatGPT? What ways are not so effective?
Join us as we share our experiences with ChatGPT and Mobbing with a Robot. We first tell the story of ChatGPT joining a mob team for a month to work on a greenfield mobile app. Next we explore the times when the robot helped to produce great code with the ensemble vs. more problematic code. We then dive into the legal implications of having generative AI in the team. Lastly, we talk about setting the context for ChatGPT to be an extreme programmer, how this changes the researcher role in the mob, and how to capitalize on a robot's sense of humor while teaming.
Video and Show Notes: https://youtu.be/EpfYAsLl6c8
Live Mob Programming at Agile Open SoCal
Dynamic Reteaming with Heidi Helfand
Freestyle Mob Programming with Jen Diamond
Mob Programming and Fear with Thomas Cagley
Agile Planning for Mob Programming
Making Training Stick with Camille Bell
Remote vs. In-Person Mob Programming with Sandra Spaeth
Team Decision Making
Agile vs. Agility with Allen Holub
Ensemble Testing with Lisa Crispin
Second Order Effects
Mob Programming Domain Driven Design with Julie Lerman
Mob Programming at Scale with Andy Graham and Sean Cowan
"My Turn is for Learning" Mob Programming Pattern
MobRetreat with Bob Allen and Dimitry Polivaev
Team Oriented Development with Florian Schneider and John Fletcher
Mob Programming at a Startup with Mike LaRocca
How Do Bad Practices Leave the System?
Mob Programming Embedded Systems with David Bishop
The Synergy of Mobbing and Continuous Delivery with Dana and Bryan Finster
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