The migration of legacy web applications from Angular to React presents significant challenges, including architectural differences, varying component models, state management complexities, and inconsistent coding standards. Traditional manual migration approaches are labor-intensive, error-prone, and time-consuming, while fully automated solutions may fail to account for application-specific nuances. This paper proposes a hybrid AI-manual migration framework, combining AI-assisted code transformation with human-guided verification and optimization. The framework leverages machine learning models to automatically convert Angular components, services, and templates into React equivalents, while providing developers with structured insights for manual refinements. The hybrid approach enhances migration efficiency, reduces errors, and ensures maintainable and high-performing code in the target React environment. Practical best practices, tool recommendations, and workflow strategies are also discussed to facilitate scalable and reliable migration for enterprise-level applications.
TY - JOURAU - James, MichaelAU - Baale, AdebisiAU - Lopez, LucianoPY - 2026/02/01SP - T1 - Hybrid AI-Manual Migration Framework: Best Practices for Transitioning from Angular to ReactVL - ER -
