Yesterday, 04:42 AM
Over the past few years, the rise of modern test automation tools has completely changed how teams validate and deliver software. From AI-driven test generation to codeless frameworks, these tools have made testing faster, more scalable, and less error-prone. But the real impact goes beyond speed — automation is now bridging the gap between developers and testers, promoting continuous testing within CI/CD pipelines.
With so many open source and commercial options available today, teams often struggle to choose the right tool for their specific use case — whether it’s API testing, UI validation, or performance benchmarking. Platforms like Keploy are even helping developers generate test cases automatically from real API calls, making automation smarter and more developer-friendly. How do you see the future of automation evolving in your organization? Are intelligent testing solutions making traditional scripts obsolete?
With so many open source and commercial options available today, teams often struggle to choose the right tool for their specific use case — whether it’s API testing, UI validation, or performance benchmarking. Platforms like Keploy are even helping developers generate test cases automatically from real API calls, making automation smarter and more developer-friendly. How do you see the future of automation evolving in your organization? Are intelligent testing solutions making traditional scripts obsolete?
