How are teams testing faster as software releases become more complex?

Software testing is becoming harder as applications grow across web, mobile, APIs, and enterprise systems.

Traditional testing approaches can require significant manual effort, maintenance, and time, especially when applications change frequently.

We've been exploring how AI can make testing more autonomous, from generating test cases to adapting to application changes and reducing repetitive QA work.

We built Zyrix Test Autopilot around this idea, AI-powered, codeless testing designed to help teams test applications across multiple channels with less manual effort.

I'm curious to hear from other developers, QA professionals, and engineering teams:

What's currently the biggest bottleneck in your testing process, test creation, maintenance, coverage, or execution?