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When Code Gets Cheap, Evaluation Gets Scarce: An Experience Report on AI-Assisted Agile Software Engineering

Barbara Weber, Olaf Zimmermann, Marco Franceschetti · 2026 · arXiv

DOI: 10.48550/arXiv.2610.30916 · open-access PDF

French

Les assistants de codage sont largement rapportés pour accélérer la production de code; la plupart des comptes s'arrêtent là. Nous signalons la construction et le déploiement de bout en bout d'un système de notation d'examen critique de la conformité, humain dans la boucle, construit par un seul développeur qui n'a pas écrit de code à la main, protégé par un processus verrouillé de la persona des parties prenantes au comportement audité. Le système initial a été construit en trois jours ouvrables et pourrait évaluer une véritable cohorte. Nous tirons une revendication de cette expérience: l'IA change moins l'ingénierie logicielle en rendant la programmation plus rapide que en changeant ce qui est rare.

Machine translation (Meta M2M100); the English original follows.

Abstract

Coding assistants are widely reported to speed up code production; most accounts stop there. We report the end-to-end construction and deployment of a compliance-critical, human-in-the-loop exam-grading system, built by a single developer who wrote no code by hand, protected by a gated process from stakeholder persona to audited behavior. The initial system was built in three working days and could grade a real cohort. We draw one claim from this experience: AI changes software engineering less by making programming faster than by changing what is scarce. Writing code becomes abundant. Reliabl

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