Why Traditional SDLCs Are Breaking Down in the AI Era
Software delivery has fundamentally changed. Engineering teams are expected to ship faster, handle greater system complexity, and continuously modernize legacy assets. Traditional SDLC models, built around manual handoffs and static tooling, struggle to meet these expectations. Even DevOps-driven pipelines often leave too much orchestration and decision-making in human hands.