Have you tried Googling \u2018ChatGPT\u2019 recently? It has been live for only 45 days and the volume of conversations happening about and around ChatGPT is enormous. While ChatGPT is not the topic of this blog today, its popularity has offered a solid ground to talk about the pervasiveness of AI.<\/p>\n
This is the era of Pervasive AI. We can anticipate the prevalence of AI similar to that of smartphones today. Use cases of AI are transcending vertical and global industries, intending to do things much faster and more efficiently than human beings. AI is powering low-code technologies and platforms that help organizations address the pertinent and perennial lack of availability of the desired skillset at scale. Software has been eating the world, but now AI is deciding the menu. However, irrespective of the sophistication of technology, testing remains essential for a successful release.<\/p>\n
Traditional test automation is often seen as the domain of specialized engineers and developers, requiring significant expertise and technical knowledge to implement. But that is all changing with the advent of AI-led low-code scriptless test automation platforms<\/a>. These platforms are making test automation more accessible and democratized, enabling teams to improve their testing processes and deliver better-quality software.<\/p>\n Testing for AI | AI for Testing<\/strong><\/p>\n Ironic? Maybe.<\/p>\n Necessary? Absolutely.<\/p>\n By centering the focus on \u2018Value at speed\u2019, the dynamics of SDLC are shifting toward a quality-first, quality-led approach. Test Automation in DevOps and Agile facilitates faster releases and puts quality at the forefront by enabling the \u2018shift everywhere\u2019 strategy. At the same time, a few specific gaps have resulted in a lower success rate for test automation implementation.<\/p>\n Due to these gaps, the test automation assets developed through a scripting-based method are brittle and rigid to evolve with the application. Considering the speed at which the digital world moves, there is practically no time to invest hours into test maintenance, which further leads to huge technical debt and sub-optimal test coverage.<\/p>\n These are common barriers that hinder the implementation of successful, high-output test automation, birthing the need for scriptless test automation platforms.<\/p>\n Democratization of test automation<\/strong><\/p>\n Scriptless test automation platforms address the aforementioned gaps, which justifies their rapidly broadening adoption. AI-powered scriptless test automation platforms are essentially democratizing the end-to-end process by reducing dependency on specialized skills. Low-code platforms make it easier for non-technical team members to build and maintain test scripts, execute test cases, and optimize test suites for better coverage.<\/p>\n\n