In this session, we will dig into the 5 levels of AI-based autonomy, and successful integration of AI-based tests into large company DevOps cycles. Real user statistics will be shared on successes, but also the challenges seen during the implementation phase. With the first release of test scripts created by AI in 2017, we now have 18 months of challenges, failures, and successes to share. Without a doubt, AI-driven tests can now go far beyond reducing script maintenance and instead augment your team’s efforts for attaining near 100% test coverage with little human effort.
Planning, setup, and AI hinting are critical. Planning correctly can create an AI-driven testing regimen that far outperforms a human-driven scripting team, and integrate perfectly into a DevOps continuous testing flow.