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Author

Andreas Bexell

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Review Sep 2026

Orchestrating AI-Assisted Code Remediation: Socio-Technical Bottlenecks in a Large Industrial Repository

Background: Code degradation in large, long-lived codebases is costly to remediate through manual refactoring and opportunistic clean-ups. LLM-based coding assistants can perform mechanical remediation at scale, but their impact on industrial workflows is underexplored. Objective: We investigate how massive AI-assisted...

Andreas Bexell, L. Heander, E. Söderberg · 0 citations
Review Sep 2026

Helpful but Fallible: Developer Experiences of AI Tools Under a Coordinated Industrial Roll-out

AI-enabled software development tools (AI-devtools) are being industrially adopted under strong expectations of productivity gains, yet developers'experiences of such roll-outs are underexplored. Organizations commit budgets, evaluate staff, and revise practice on a partial picture, since the evidence base is mainly to...

Andreas Bexell, Rushali Gupta, L. Heander et al. · 0 citations

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