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GitHub claims that Copilot leads to 55% faster coding, 46% more code written, and a $1.5 trillion boost to GDP. Developers report increased productivity and satisfaction, with 75% feeling more fulfilled. But what are we missing?
While Large Language Models (LLMs) like GitHub Copilot promise faster coding and increased productivity, more code doesn’t always mean better code. This talk explores the risks of LLM-generated technical debt, defects, and unintended consequences. We’ll examine key questions about how these models are trained, their resource consumption, and how to use them wisely to improve software quality without compromising long-term stability.
Join us to explore the reality behind the numbers and the future of AI-assisted coding.
Mark Levison has over 30 years of IT experience, from development to management. After a decade of working on waterfall projects, he discovered Agile in 2001 and has since helped organizations worldwide adopt Scrum and Lean practices. He is an author, Certified Scrum Trainer, and consultant with Agile Pain Relief Consulting. He also consults with organizations seeking to evolve.
Mark has authored numerous Agile articles and books, maintains the blog Notes from a Tool User, and is developing a new manuscript and learning program, Effective Scrum.
IMPORTANT: We have transitioned to a new membership platform. If you are a member and have not yet done so, you will need to set up an Account Profile on the new platform in order to register for our online events (click “Log in” in the menu above right and then click “Set Up an Account” in the pop-up if this is your first time in the new membership platform). Learn more here
This online learning session is FREE for members, or just $29 for non-members to attend.
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©2025 Agile Alliance
All Rights Reserved | Privacy Policy
IMPORTANT: We have transitioned to a new membership platform. If you have not already done so, you will need to SET UP AN ACCOUNT on the new platform to establish your user profile. Your previous login credentials will not work until you do this set up.
When you see the login screen, choose “Set up Account” and follow the prompts to create your new account. You can choose to log in using your social credentials for either Google or Linkedin (recommended), or you can set up your account using an email address.
