Strange Loop

Tackling Technical Debt: An Analytical Approach

Getting out of tech debt can feel like a Sisyphean task. After weeks of work, the success case is for the app to work the same as it used to. Organizations often declare code bankruptcy and rewrite working systems from scratch. How do we end up here? And how do we alleviate, or even better, prevent such a situation?

In this workshop, you will learn how to measure tech debt and address the areas of highest need first. You'll learn to identify high leverage code changes and separate those from renovations. You'll also learn about the skills tech teams can use to prevent and reduce tech debt.

Chelsea Troy

I write code for money, fling barbells for fun, and write about tech for jack diddly at chelseatroy.com.

Chelsea is a Staff SE on Machine Learning & Backend Systems at Mozilla. She also maintains the Zooniverse Citizen Science Mobile App, the NASA Landsat Data Processing Pipeline, and a few other open source client projects. She mentors formerly incarcerated technologists through Emergent Works. She also teaches Python & Mobile Development at the University of Chicago Master's Program in CS, hosts workshops for O'Reilly, and writes at chelseatroy.com. She helps maintain the Roc programming language because she met Richard Feldman at StrangeLoop in 2021. Chelsea flings barbells around for fun. She drives an electric cafe cruiser named Gigi.