Still Trying to Reduce Technical Debt Manually?

Why It Matters

Technical debt hampers modernization and can jeopardize enterprise scalability, particularly with looming Java support deadlines. By automating debt reduction, organizations can cut maintenance overhead, enhance security, and ensure smoother transitions to newer Java versions, making this episode timely for any team facing legacy code challenges.

Summary

In this episode, Azul discusses the growing challenge of technical debt in Java applications, especially as Java versions approach end‑of‑support windows. It outlines manual best practices—such as educating product owners, modular architecture, automated testing, and maintaining a debt register—alongside governance and AI‑code audit strategies. The core focus is on leveraging automation, specifically Azul’s partnership with OpenRewrite, to safely identify and eliminate unused or dead code at scale, accelerating modernization efforts. Listeners learn how combining runtime insights with automated refactoring can reduce costs, improve security, and keep codebases ready for future Java releases.