Many organizations struggle with maintaining and modernizing legacy software. The complexity of outdated codebases, high maintenance costs, and the risk of regressions create major challenges.

In this session, we’ll demonstrate how generative AI, especially agent-based approaches, can be used to overcome these hurdles.

We’ll walk through an end-to-end workflow for code modernization using AI agents, covering automated test generation, code improvements, and documentation creation. We’ll also discuss real-world challenges such as missing specifications, infrastructure integration, limited domain knowledge and how AI can still accelerate the process.

This session provides a realistic and inspiring view of how generative AI can achieve 50–70% time savings in code modernization projects.