The Year of Test Debt: How AI is Redefining Quality in 2026

AI is removing friction from development, but the testing requirements remain the same. Provar seeks to address this dynamic and propose a practical framework for scaling automation without scaling effort.

Several years ago, we talked about the Regression Gap, which is the widening distance between how fast teams ship and how much they can realistically test.

That gap has grown exponentially in the past few months, resulting in:

• Faster code generation
• Rapid configuration shifts
• Continuous feature experimentation
• Shorter and more frequent release cycles

Delivery velocity is compounding while quality capacity is stagnating.

The result is something we are calling Test Debt. Test Debt is the hidden accumulation of untested change, fragile coverage, and growing release risk. If 2026 becomes the year of technical debt, it will also be the year quality debt surfaces as a board-level issue.

In this session, we will explore:

• Why AI is expanding the regression gap faster than most teams realize
• How “Test Debt” forms and why it is harder to see than technical debt
• Whether your testing approach is acting as a bottleneck or an accelerator
• What it takes to scale quality capacity at the same pace as delivery
• A sneak peek at the latest capabilities enabling agentic testing workflows

If your release cycles are getting shorter but your regression windows are not, this session is for you.