Many codebases contain code that is overly complicated, hard to understand, and hence expensive to change and evolve. Prioritizing the technical debt to pay off is a hard problem as modern systems might have millions of lines of code and multiple development teams – no-one has a holistic overview. In addition, there’s always a trade-off between improving existing code versus adding new features so we need to use our time wisely. So what if we could mine the collective intelligence of all contributing programmers, and start to make decisions based on data from how the organization actually works with the code? In this keynote, Adam Tornhill offers an approach that lets you prioritize the parts of your system that benefit the most from improvements, so that you can balance short- and long-term goals based on data from how your code evolves. This new perspective on software development will change how you view code.
Adam Tornhill is a programmer who combines degrees in engineering and psychology. He’s the founder of Empear where he designs tools for software analysis. He’s also the author of Software Design X-Rays, Your Code as a Crime Scene, Lisp for the Web, and Patterns in C. Adam’s other interests include modern history, music, and martial arts.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2019, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org