The Paradox of AI in Software Development: Efficiency at the Cost of Quality Mechanisms Driving Software Quality Decline 1. AI-Driven Automated Code Generation Processes Impact: Increased frequency of bugs and issues in AI-generated code. Internal Process: AI tools generate code based on patterns and training data, often lacking context-specific nuances. This leads to syntactically correct but logically flawed code. Observable Effect: Higher bug density ...