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Paper · arXiv

Beyond the 'Diff': Addressing Agentic Entropy in Agentic Software Development

As autonomous coding agents become deeply embedded in software development workflows, their high operational velocity introduces a critical oversight challenge: the accumulating divergence between agentic actions and architectural intent. We term this process agentic entropy: a systemic drift that traditional code diff-based and HCXAI methods fail to capture, as they address local outputs rather than global agentic behaviour. To close this gap, we propose a process-oriented explainability framework that exposes how agentic decisions unfold across time, tool calls, and architectural boundaries. Built around three pillars (conformity seeding, reasoning monitoring, and a causal graph interfa...

AuthorsMatteo Casserini, Alessandro Facchini, Andrea Ferrario
Primary categorycs.SE
Published3 March 2026
Last updated at source21 April 2026
cs.SEcs.AI
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