Key Takeaways

Agentic AI is transforming software testing. Unlike traditional testing, AI agents autonomously write, execute and evolve tests by reasoning about software behavior.

Successful implementation requires starting with one contained domain, measuring rigorously for 12 weeks and scaling based on validated results.

The biggest barriers to success include treating agents like traditional automation, poor data quality, over-scoping and weak security architecture.

I tested the first AI agents as we were building them. And what fascinated me the most was watching these systems reason through test scenarios that I hadn’t even thought of.

We’re still experimenting with these QA agents under different conditions, but software QA , in my eyes, has changed forever.

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