As AI coding assistants become a pivotal part of modern development workflows, questions surrounding their handling of sensitive code, intellectual property, and internal data have become increasingly important. Developers are keen to know how these platforms handle sensitive code, intellectual property, and internal data, what practices they follow to protect privacy, and how they ensure compliance with industry standards.

Modern software projects are big. We’re talking millions of lines of code, dozens (or hundreds) of contributors, and complex interdependencies. For developers, navigating this kind of codebase isn’t just difficult—it can be overwhelming.

M“Software engineering is not just about creating something new—it’s about continuously evolving what already exists.”