Automation Hangout

  What the Future Holds Here’s what TickingMinds and broader industry insight suggest is next: Deeper AI–DevOps Integration : Imagine CI/CD pipelines where tests auto-adjust based on code changes, and limits trigger notifications when risk rises—no human intervention. A seamless “AI takes initiative” model . Predictive Bug Detection : AI scanning commit logs, user tickets, and telemetry to predict vulnerabilities before testing. Classic quality assurance shifted into proactivity. Autonomous QA Agents : Full-cycle AI agents generating, executing, analyzing, and reporting test suites under human oversight—freeing testers to tackle strategy and exploratory testing. Wider No‑Code Adoption : More intuitive AI engines allowing non-programmers to define tests in plain English. The TickingMinds generative AI primers suggest this is just around the corner testfort.com . Why TickingMinds Is Leading the Charge If you’re curious how to make AI work for your team, TickingMi...