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ntietz.com | ||
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loufranco.com
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| | | | | [AI summary] A blog post discusses an MIT study on GitHub Copilot's impact on software development productivity, highlighting its effectiveness in speeding up task completion for experienced developers. | |
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blog.kulman.sk
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| | | | | There is now an official GitHub Copilot extension for Xcode, but it essentially acts as a fancy autocomplete. Given how unreliable Xcode's autocomplete can be, this is still an improvement. However, to fully leverage GitHub Copilot's capabilities, you will ll need a more extensible IDE-such as Visual Studio Code. Visual Studio Code tooling The tooling in Visual Studio Code has come a long way in terms of supporting iOS development, and these days, you can configure it to offer a very good experience, including navigating the code, building and running the app, and even debugging with breakpoints. | |
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www.eficode.com
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| | | | | Learn how to use GitHub Copilot as a Java developer and unlock the power of AI-assisted programming. | |
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bitshifter.github.io
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| | | [AI summary] The text discusses the development and performance of the Rust linear algebra library 'glam', which leverages SIMD for optimized computations. It compares 'glam' with other libraries like 'cgmath' and 'nalgebra', highlighting its efficiency, especially when using SIMD. The text also covers benchmarking tools like 'mathbench' and 'criterion', and the use of assembly inspection for performance analysis. The author plans to enhance 'glam' over time based on community feedback and explores future optimizations using crates like 'packed_simd'. | ||
