Key Takeaways Agentic AI software testing should support planning, execution, analysis, maintenance, and governance across the testing lifecycle. End-to-end quality depends on inner-loop speed and outer-loop verification, especially as AI-assisted development increases output. Playwright is useful for developer-owned checks close to the code, while platform-based tools support broader coverage, visibility, and release confidence.