The Path to Autonomous Testing
summary
Claim: autonomous testing requires more than UI scraping — it needs test discovery tied to historical requirements and source code, built-in test data generation, language-agnostic frameworks, resilient self-healing locators, analytics for trend and risk inference, and fast CI/CD execution. Demonstrations use Copilot and ChatGPT for authoring and Applitools/“appl tools autonomous” for automated flows, but the system is not finished: AI assists but humans still guide core business logic and validate autogenerated scenarios. The hardest gap today is reliably discovering meaningful tests.
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chapters (10)
- 0:00Autonomous testing journey
- 3:15Minority Report tech
- 14:26Test automation evolution
- 17:35What is autonomous testing
- 23:27Test automation lifecycle
- 25:36Core capabilities
- 31:37Auto-discovering test cases
- 36:14Risk mitigation
- 37:59AI in testing solutions
- 40:08Summary and Q&A
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