In order to prioritize application delivery, there is an implicit cost of accruing technical debt in the form of legacy code. But what if you could eliminate that technical debt quickly and efficiently by upgrading to the latest language and dependency versions with ease?
The problem is that updating an entire application can introduce breaking changes, especially when your in-house expert who built the original has left the building. And it usually doesn’t seem worth the time to update an application that still works, even if it’s older than dirt.
Yet with supply chain security risks at an all-time high, and maintenance eating up 30% of development time, delaying updates isn’t just inefficient – it’s dangerous. And with the power of automatic upgrades, the path to modernizing isn’t as daunting as it seems.
In this webinar, learn about:
- The causes and impact of legacy tech debt
- Addressing software supply chain risks when it comes to outdated languages like Python 2 and 3.7
- Future-proofing: How you can start auto-refactoring your code without fear of breaking changes
- Automating maintenance: Building dependencies from source and integrating them into your CI/CD pipelines, ensuring consistent, secure environments across your organization
Transform your codebase from a liability to an asset. Don’t miss out on this opportunity to future-proof your codebase and focus on innovation.
