The algorithmic reformation: AI agents are rewriting the SDLC playbook

Let's be frank. Our current Software Development Life Cycle, often dominated by Agile methodologies like sprints and Jira, is showing its age. We, as engineers, are intimately familiar with the grind: the relentless sprint cycles, the constant firefighting of bugs, the ever-growing mountain of technical debt, and the persistent struggle to accurately predict project timelines using velocity metrics. Seriously, in an era of LLM, are we truly content with an iterative process that often feels more reactive than proactive? Is this the peak efficiency we can achieve in software creation? I argue, definitively, no.