The Accountability Gap: Why AI-Generated Code Needs Clarity

As AI-generated code becomes mainstream, the critical challenge isn't generation but responsibility. Code that looks correct without clear ownership, human intent, and documented reasoning creates ambiguity—the real technical debt—multiplying maintenance burdens far beyond traditional bugs. Effective AI adoption requires teams to shift focus from speed to clarity, demanding that AI explains its reasoning just as human engineers must.