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AI Tooling in Framework-Specific Development: An Empirical Study of MCP and Agent Skills Benefits

AI Tooling in Framework-Specific Development: An Empirical Study of MCP and Agent Skills Benefits

LLMs generate component library code that compiles, runs, and is wrong - and the compiler never catches it. In 7 paired benchmarks across Ignite UI for Blazor and Angular, MCP servers and Agent Skills raised component compliance from 0/5 to 5/5 where the untooled model ignored the library, lifted single-prompt feature completion from 71% to 100%, and lowered true session cost once correction turns were counted. Includes full methodology, raw data, and the public benchmark repos.

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