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Practical experience comparison of AI programming tools:
The first type of model has a more relaxed style, quick-witted, when you propose a requirement, it can infer several steps forward, proactively fill in contextual logic, making communication comfortable, just like a quick-reacting liberal arts student.
The other type is more rigorous, giving exactly what you ask for, never overstepping, not adding functions you didn't think of, belonging to the methodical science style.
For beginners, the experience with the first type is much better—more convenient, reducing repeated communication. But if you already have a programming background, the second type is actually more popular because of its strong controllability, lower cost, and higher cost-performance ratio.
Ultimately, it's a trade-off: if you want peace of mind, choose the intelligent one; if you want to save money and ensure stability, choose the disciplined one.