Fluixi AI

Fluixi AI: grounded code generation, proven by the framework's own tests. Fluixi is a real reactive web framework with sharp edges: legacy and idiomatic APIs side by side, resource reads that can duplicate content during SSR hydration, and 23 compile-time intrinsics that are automatic in one app type and invalid in another. Generic AI models walk into every one of these traps. Fluixi AI fixes that with a loop: it extracts framework knowledge from the compiler's own source at a pinned commit, detects the target app's context and version, generates a patch with Meta's Muse Spark 1.3, validates it verbatim inside a disposable copy using the real compiler and the app's own test suite, and reports verified facts, test evidence, and remaining uncertainty separately. Measured on identical tasks: grounded 59/59 vs model-only 35/59; stable 87/87 across five live repeats; on seeded real defects, grounded fixed 9/9 task-runs vs 7/9. The difference concentrates exactly where the framework is sharpest — resource error handling.