Experiences with LLMs vary widely because reports rarely include context such as project type, codebase maturity, or user expertise.
Non-determinism of LLMs means results can change unpredictably, making consistent evaluation difficult.
Hype and magical thinking around AI often ignore critical details and quantitative measures.
Industry leaders’ claims about LLM performance frequently lack essential information, preventing meaningful comparison.
In practice, LLM tools show about a 50% success rate, highlighting their statistical rather than magical nature.
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