In just a few months, the role of AI in software development has shifted dramatically—from assisting developers to generating code, managing tasks, and increasingly executing entire workflows. What was recently “copilot” is quickly becoming something closer to an autonomous workforce. As AI agents move beyond code generation into coordination, testing, and execution, the question is no longer how developers write software—but how work itself gets done. What has fundamentally changed in the way software is built? Where are these systems already replacing or augmenting human effort? And what does it take to manage, trust, and scale an AI workforce that doesn’t just suggest—but acts?