Test Reveals Hallucination and Intent Recognition Flaws in Large Codebases
tokenbender · x · 2026-07-19
During hands-on testing, developers found that while the model performs adequately in standard scenarios, it struggles significantly when processing complex, large-scale codebases. Its primary shortcomings are concentrated in hallucination issues and an inability to accurately recognize intent.
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