Whether it’s tackling legacy code, accumulated bugs, or outdated libraries and dependencies, cleaning up tech debt is a reality that every engineering manager will face at some point. But gathering momentum is tough: demands to deliver new products and features faster, developers’ preoccupation with the “shiny and new”, and the challenge of unravelling years of complexity can often mean tech debt is addressed only when it becomes a critical business concern.
With 70% of organizations reporting that tech debt impacts their ability to innovate, and AI-generated code compounding the issue further, those that can implement a systematic approach to managing tech debt stand to improve business agility and gain an advantage over competitors.
Join us for this webinar, as our expert panel shares how they stay ahead of tech debt in their organizations; the strategies they used to identify, measure and curtail it, and how to build a culture that recognizes the importance of balancing speed with stability.
Key takeaways:
- How to adopt a proactive approach to tackling tech debt
- Defining and conquering your highest value fixes
- Understanding AI’s relationship to tech debt: where it hurts and where it can help
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