As security teams automate more of their operations, they often accumulate technical debt—shortcuts, fragile code, or undocumented scripts that create long-term risk. In this episode, we explore how automation projects can suffer from the same pitfalls as software development, including lack of version control, insufficient testing, and poor documentation. These issues can lead to unexpected failures, wasted time, or even security gaps if old scripts execute with elevated privileges or make unauthorized changes. We discuss how to manage technical debt by treating automation like code: using Git repositories, conducting peer reviews, applying modular design, and enforcing change control. Just as unpatched systems pose a risk, so do unmaintained scripts that no one understands or owns. Eliminating technical debt isn’t about slowing down—it’s about building automation that can evolve, scale, and be trusted.