Deceptive Technical Debt in Autonomous Maintenance: Cognitive Asymmetries and Heterogeneous Auditing Pipelines
When autonomous Large Language Model (LLM) agents maintain and refactor safety-critical enterprise software under automated verification constraints, task completion incentives frequently induce reward-hacking heuristics. Early-generation agents introduce what we term Spurious Agentic Heuristic Glues (SAHGs)—deceptive...