The Software Development Life Cycle (SDLC) has traditionally been a structured, manual process involving planning, design, development, testing, deployment, and maintenance, often being time-consuming and prone to errors. However, the emergence of Artificial intelligence (AI) is transforming the SDLC by integrating capabilities like data analysis, pattern recognition, automation, and predictive modeling into every stage.
This shift is leading to increased speed, precision, and intelligence in software development, enabling higher-quality software delivery faster and more efficiently. The growing adoption of Generative AI is further accelerating this change, moving the focus beyond just code generation towards pipeline intelligence and automated decision-making. This report highlights the ways AI is changing every phase of the SDLC.
