Getting to Know Your Legacy (System) with AI-Driven Software Archeology

Maintaining old software systems can be challenging. The code is often hard to read, documentation may be missing, and the original authors might no longer be available. However, with the data we already have at our fingertips, we can quickly dig deeper in existing codebases and track how they have evolved over time.

By using artificial intelligence, especially large language models, alongside modern data analysis techniques and freely available open-source tools, you too can gain deeper insights into a system’s architecture. Uncover hidden patterns that help you better understand the legacy entrusted to you and its evolution.

Join me to see how data-driven analysis helps you work more efficiently, reduce uncertainty, and confidently take the first step toward moving your legacy system into the future.