AI coding has quickly moved from novelty to necessity, reshaping software development. But this rapid integration has unveiled a significant "engineering productivity paradox": while AI generates massive code volumes (e.g., over 30% of new code at Google), real velocity gains lag due to review bottlenecks.
In this session, Erin Kouri, Engineering Director at Sonar, will share the seven 'habits' that organizations should adopt for highly effective AI coding. With the power of these best practices, you can help to ensure your code remains secure, maintainable, and that tech debt remains under control.
