Software development processes have always evolved in response to technological advancements, addressing shifting expectations around speed, scale, and functionality. From the rigid structure of Waterfall to the iterative approach of Agile, each evolution has introduced new ways of working.
We are on the brink of yet another pivotal moment, driven this time by generative AI. Generative AI’s ability to synthesize new artifacts (code, test cases, and documentation) within minutes is nothing short of transformative in a field that is known for its long, resource-heavy processes and creativity-stifling rote work. Its unprecedented speed and scale have led to a fundamental rethinking of how software is built and delivered.
With the promise of Generative AI evident, we set out to explore its influence on the software development lifecycle (SDLC) at QBurst. We spoke with key teams, including business analysts, UI/UX designers, architects, developers, DevOps engineers, and QA professionals. This article presents a cross-section of their views.
(more…)
