Blog
By Kevin Surace | AI, QA
Why AI in QA Has Been Such a Disappointment
There is a quiet truth in enterprise QA right now.
Many teams feel let down.
For the last several years, vendors have promised an AI revolution in testing. Autonomous agents. Self healing frameworks. Copilots that would “change everything.” Yet when you talk to QA leaders privately, the story is different.
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By Kevin Parker | API, QA
By Kevin Parker | Kubernetes, QA, AI
By Kevin Parker | AI, Recorders, Script Debt
AI vs. Recorders: How Appvance Eliminates Script Debt
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For decades, software testing has revolved around scripts. Teams wrote test cases. Engineers translated them into automation scripts. Those scripts became the foundation of regression testing, and over time they grew into massive libraries that required constant maintenance. The problem is that scripts were never the real asset. Business intent was. A script is simply
Every QA team celebrates when a new automated test is created. Far fewer celebrate six months later when that same test breaks. The truth is, writing automation isn’t the biggest cost of test automation. Maintaining it is. Every application update, UI change, modified workflow, or renamed element can trigger hours of investigation, debugging, and script
The old model required massive human effort to convert business intent into quality signals. Requirements became test cases. Test cases became scripts. Scripts became runs. Runs became reports. Every step took time, people, maintenance, and interpretation. That is no longer the only way. Today, our clients are already using Appvance AIQ to begin with intent
Teams of people read requirements.Teams of people wrote test cases.Teams of people created automation scripts.Teams of people ran regressions.Teams of people maintained the whole thing every release. That model is being replaced right now. Not someday. Now. Appvance clients are already using AIQ to start with intent, including business requirements, existing manual test cases, user
It is here now. Our clients are already using AI to turn business requirements, user stories, Gherkin, manual test cases, and other artifacts into test cases, scripts, execution, and results. That alone changes the economics of QA. But the bigger breakthrough is what happens next. With Appvance AI Script Generation, the AI does not stop
For years, QA leaders have measured the cost of automation by the number of tests they’ve created. They’re measuring the wrong thing. The real cost of test automation isn’t writing scripts. It’s maintaining them. Every UI update. Every workflow change. Every release. Every new browser version. Every modified API. Each change creates another round of