Medium LLM
The AI read every file in raix and still missed the wiring. Sense traced it.
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What happened
Discusses benchmarking LLMs on Ruby on Rails codebases. It highlights a case where an AI read every file in a project called 'raix' but still missed the underlying framework 'wiring' (implicit connections and magic), whereas a tool called 'Sense' successfully traced it.
Why it matters
Standard LLMs fail at understanding implicit framework architecture without specialized context-engineering or tracing tools.
The take
This highlights a critical limitation of standard LLM context windows: they struggle with implicit framework-level routing and 'magic' (common in Ruby on Rails or Next.js) that isn't explicitly declared in the code. Specialized static analysis and tracing tools are still required to feed the correct context to LLMs.
Do this
Awareness only — no action needed.
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