Dzone iconDzoneSep 16, 2026 ~1 min source read

The AI Evolution in Software Testing: A QA Manager's Blueprint for Staying Irreplaceable

Just a few months back, I observed a test suite with a self-healing feature "fixing" a failed selector three different times during the same sprint cycle. No one on the team became aware of the situation until one of the customers discovered it.

The AI Evolution in Software Testing: A QA Manager's Blueprint for Staying Irreplaceable

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Just a few months back, I observed a test suite with a self-healing feature "fixing" a failed selector three different times during the same sprint cycle.

No one on the team became aware of the situation until one of the customers discovered it.

That was the point when my perception of AI in Quality Assurance changed dramatically more than any keynote or LinkedIn post.

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The useful part

Just a few months back, I observed a test suite with a self-healing feature "fixing" a failed selector three different times during the same sprint cycle. No one on the team became aware of the situation until one of the customers discovered it. That was the point when my perception of AI in Quality Assurance changed dramatically more than any keynote or LinkedIn post.

How it works

  • Today, if you are a QA Engineer, chances are high that you have come across similar headlines as well: manual testing is dying, autonomous agents create and fix test scripts in seconds, and your career is...
  • The fear is justified, and I do not find it irrational as a Senior QA Manager who sees new testing tools appearing in our workflows every quarter, or even faster than we can develop any governing principles.

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