Spec debt is the new bottleneck
What a controlled AI experiment reveals about testing
Your team is shipping faster with AI, but is it really shipping better? Based on a controlled experiment and real client projects, this whitepaper explains why the quality of AI in product development depends overwhelmingly on the quality of your specifications. You’ll learn:
Where AI actually delivers results in testing (and where it doesn’t)
Where AI creates false confidence
How spec debt directly impacts test accuracy
How to build validation into your pipeline without slowing delivery
Two teams. One experiment.
We asked two of our teams to work on the same product, but only one could use AI.
The AI-assisted team, despite being smaller, delivered 40-60% faster. However, the difference in testing is where the results got interesting. See the best practices that this real experiment, combined with real-world delivery, taught us.
How the Modus Agentic Framework™ can help
The goal of automating testing isn’t to replace humans, but to sharpen human judgment at scale. See how the Modus Agentic Framework™ can help you build validation into pipeline while keeping humans firmly in charge of critical decisions.
An essential read for QA experts
When testing evolves alongside AI, you catch issues earlier, preserve signal integrity across your pipelines, and scale delivery without losing control. See how AI-assisted testing helps you move faster while maintaining the quality your users expect.