Infragistics Blog - #ai tooling roi
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.
Why Ignite UI AI Tooling Produces Better Results: MCP vs. No-MCP Benchmarks
Seven paired benchmarks against Ignite UI for Blazor and Angular show what MCP servers and Agent Skills change in AI-assisted development: component compliance rises from 0/5 to 5/5 in every scenario where the untooled model ignored the library, single-prompt feature completion rises from 71% to 100%, and total session cost including corrections is equal or lower.