Fable Outperforms Codex and Claude Code in LLM Migration Analysis of nopCommerce

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A developer tested three AI models — Fable, Codex (GPT-5.4), and Claude Code (Opus 4.8) — on their ability to generate architectural orientation documents for nopCommerce, a large legacy ASP.NET e-commerce codebase. The experiment used a structured AI-as-judge rubric covering evidence grounding, dependency mapping, migration insight, and epistemic discipline, among other criteria. Fable scored a perfect 5 across all seven criteria, while Codex scored lower on epistemic discipline and signal-to-noise ratio. The key distinction noted by the judge was that Fable acted as an architectural synthesizer, converting code facts into migration-relevant constraints, whereas Codex functioned more as a static extractor. nopCommerce was chosen over the simpler eShopOnWeb codebase specifically to stress-test models on real-world migration challenges like plugin loading, scheduling, and cross-cutting infrastructure.

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