It's estimated that a whopping 75% of technology leaders will see their tech debt rise to a moderate or high level of severity by 2026.
While AI-assisted and -driven code contributions offer many positives, every tech leader sees the other side of that coin as well: code is being created and modified at an ever-accelerating pace, and increasingly lean technical teams desperately need help to ensure security, consistency, and “fit for purpose”.
Even worse, this isn't beginning at ground level. A staggering mountain of technical debt already exists, and AI is merely accelerating the trend, even overwhelming much-needed innovations incorporating AI.
For the foreseeable future, applying AI to a looming AI-fueled crisis is a wildly optimistic and at best, incomplete solution. What actions can a tech leader take now to reach some form of equilibrium, move to get ahead of the problem, and finally seize potential opportunities?

Come to this session to learn how to shift your perspective from desperation to determination by:

• Asking the right questions
• Embracing the positives
• Addressing the negatives
• Converting technical debt to tech stack liquidity
  Leave this talk with a plan of action to get out of (technical) debt.