Generative AI resolves challenges in Microfrontend architecture by enhancing UI consistency, automating workflows, and prioritizing component reusability. This enables teams to create clean, scalable, and modular frontends more efficiently.
While microfrontends promote team autonomy, they often result in inconsistent UIs and fragmented user experiences. Different teams may create identical UI components differently, leading to discrepancies in style, layout, and accessibility.
Although composable architectures tackle many issues in Microfrontend setups, Generative AI can significantly reduce upfront effort, making the development process smoother and more efficient.
Code duplication is a common challenge in Microfrontend architecture, as teams may unknowingly rebuild existing components. This redundancy complicates maintenance and inflates the codebase.
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