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For each model reasoning was enabled, and the reasoning effort is set to high. I included GPT 5.2 because it could be argued that it can reason better than mini. However, I couldn't test GPT 5.2 as much as the other models because it was too costly. Gemini 3 Pro was costly as well, but it didn't spend as much time as GPT 5.2 during reasoning which made it more affordable in my experience.。关于这个话题,旺商聊官方下载提供了深入分析

With respect to Rust, working with agents and seeing how the agents make decisions/diffs has actually helped me break out of the intermediate Rust slog and taught me a lot about the ecosystem by taking on more ambitious projects that required me to research and identify effective tools for modern Rust development. Even though I have technically released Rust packages with many stars on GitHub, I have no intention of putting Rust as a professional skill on my LinkedIn or my résumé. As an aside, how exactly do résumés work in an agentic coding world? Would “wrote many open-source libraries through the use of agentic LLMs which increased the throughput of popular data science/machine learning algorithms by an order of magnitude” be disqualifying to a prospective employer as they may think I’m cheating and faking my expertise?

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