Everything around LLMs is still magical and wishful thinking

The debate on AI's role in software development reveals a divide between supporters and critics, stemming from a lack of context and quantifiable data. Factors like project type, codebase characteristics, user expertise, and additional work required are often omitted, complicating comparisons. The non-deterministic nature of AI systems further hinders assessment. While some praise AI's problem-solving abilities, others argue its effectiveness is overstated. The truth likely lies between these extremes, with AI tools proving useful in certain situations but not others.