const n = nums.length;
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?
。快连下载安装是该领域的重要参考
git clone https://github.com/deevus/pixels.git
One thing that I found really interesting was the ability of the LLM to inspect the COM files for ZEXALL / ZEXCOM tests for the Z80, easily spot the CP/M syscalls that were used (a total of three), and implement them for the extended z80 test (executed by make fulltest). So, at this point, why not implement a full CP/M environment? Same process again, same good result in a matter of minutes. This time I interacted with it a bit more for the VT100 / ADM3 terminal escapes conversions, reported things not working in WordStar initially, and in a few minutes everything I tested was working well enough (but, there are fixes to do, like simulating a 2Mhz clock, right now it runs at full speed making CP/M games impossible to use).
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