The Transformative Impact of Generative AI on Software Development and Quality Engineering
Over the years, the quality of software and the processes by which it is built have gained traction. This has led enterprises to transition from Quality Assurance (QA) to Quality Engineering (QE). With this, enterprises have started to connect the results of the quality function with overall business outcomes.
With the increased hype and adoption of newer technologies such as generative AI, it has become more critical to understand the implications for processes, people, and technology and the new opportunities for the quality function.
There is a massive surge of generative AI use cases across the Software Testing Life Cycle (STLC) and quality interventions in generative AI applications/systems. On the supply side, big giants such as Microsoft, Google, and Meta are investing aggressively to dominate the generative AI landscape.