How AI Is Modernizing Legacy Code: Risks, Benefits, and Best Practices

Legacy code remains critical to many organizations but poses significant maintenance and security risks. This video explains what legacy code is, why it's a growing concern, and how AI is enabling safer, more efficient modernization.

■ Understanding Legacy Code
- Definition and characteristics
- Mission-critical nature and hidden risks

■ Challenges Driving Modernization
- Skills gap as experts retire
- Developer productivity loss due to technical debt
- Compounding security vulnerabilities

■ AI's Role in Modernization
- Accelerating discovery with code summarization
- Automated code translation across languages
- Agentic systems for end-to-end modernization

■ Key Focus Areas and Limitations
- Architecture, technology, and process improvements
- AI limitations and the need for human oversight

This video is suitable for developers, IT managers, and business leaders considering legacy modernization. Viewers will gain a clear understanding of AI's potential and limitations, enabling them to make informed decisions about modernization strategies.