Forget just patching errors. Double-loop learning, a concept pioneered by Chris Argyris, compels developers and organizations to question the core assumptions *behind* their problems. This deeper analysis, moving beyond single-loop fixes, is crucial for fostering true innovation, building resilient systems, and anticipating future challenges in software development, AI, and cybersecurity.