
The compelling vision of artificial intelligence autonomously building, testing, and deploying complex software from nothing more than a simple idea represents a powerful future for technology. However, the reality of AI’s role in the software lifecycle is far more nuanced, demanding a clear-eyed assessment of its current capabilities. With software teams facing relentless pressure to accelerate development and manage ever-growing










