[2512.08492] Autonomous Issue Resolver: Towards Zero-Touch Code Maintenance

Computer Science > Artificial Intelligence arXiv:2512.08492 (cs) [Submitted on 9 Dec 2025 (v1), last revised 27 Mar 2026 (this version, v3)] Title:Autonomous Issue Resolver: Towards Zero-Touch Code Maintenance Authors:Aliaksei Kaliutau View a PDF of the paper titled Autonomous Issue Resolver: Towards Zero-Touch Code Maintenance, by Aliaksei Kaliutau View PDF HTML (experimental) Abstract:Recent advances in Large Language Models have revolutionized function-level code generation; however, repository-scale Automated Program Repair (APR) remains a significant challenge. Current approaches typically employ a control-centric paradigm, forcing agents to navigate complex directory structures and irrelevant control logic. In this paper, we propose a paradigm shift from the standard Code Property Graphs (CPGs) to the concept of Data Transformation Graph (DTG) that inverts the topology by modeling data states as nodes and functions as edges, enabling agents to trace logic defects through data lineage rather than control flow. We introduce a multi-agent framework that reconciles data integrity navigation with control flow logic. Our theoretical analysis and case studies demonstrate that this approach resolves the "Semantic Trap" inherent in standard RAG systems in modern coding agents. We provide a comprehensive implementation in the form of Autonomous Issue Resolver (AIR), a self-improvement system for zero-touch code maintenance that utilizes neuro-symbolic reasoning and uses the DT...