From AI Technical Debt to Agentic Technical Debt: A Systematic Mapping of Root Causes and Manifestations in Agentic AI Systems
The emergence of Agentic AI systems, characterized by autonomous reasoning, multi-agent collaboration, tool orchestration, adaptive decision-making, and persistent memory, represents a fundamental shift from traditional AI pipelines to dynamic software ecosystems. While AI Technical Debt (AITD) has been widely studied in machine learning and software engineering, existing models assume static, component-level architectures and fail to capture the dynamic and emergent behaviors of agentic environ
Record details
Published: 2 August 2026
Source: arXiv cs.CR (AI security)
Category: Research
Topics: Agents & autonomy
Retrieved: 4 August 2026
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ethics.ai (2 August 2026), “From AI Technical Debt to Agentic Technical Debt: A Systematic Mapping of Root Causes and Manifestations in Agentic AI Systems,” evidence record 16137, https://ethics.ai/record/16137 (originally published by arXiv cs.CR (AI security)).
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