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anticrisis.github.io | ||
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github.com
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| | | | | A Common Lisp dev environment for Vim (and Neovim) - vlime/vlime | |
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lisp-journey.gitlab.io
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| | | | | And 2022 is over. The Common Lisp language and environment are solid and stable, yet evolve. Implementations, go-to libraries, best practices, communities evolve. We don't need a "State of the Ecosystem" every two weeks but still, what happened and what did you miss in 2022?This is my pick of the most exciting, fascinating, interesting or just cool projects, tools, libraries and articles that popped-up during that time (with a few exceptions that appeared in late 2021). | |
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atomized.org
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| | | | | [AI summary] This comprehensive guide explores the evolution of a Common Lisp project from a simple command-line application to a structured, maintainable system using advanced tools and libraries. The journey begins with a basic implementation using the built-in UIOP library, then progresses through modularization, system definition with ASDF, and finally incorporates external libraries like unix-opts for enhanced functionality. The article emphasizes the importance of organizing code through packages, systems, and build processes, while demonstrating how modern Lisp tooling can simplify development and maintenance. Key takeaways include the value of modular design, the role of ASDF in managing project dependencies, and the benefits of using external librar... | |
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philiplaine.com
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| | | It has been an issue for a long time to run Docker images on multiple architectures. I remember the first time I got the idea to install Docker on my Raspberry Pi and I realized quickly that what I was trying to do would not work. The issue of course was that I was trying to use an AMD64 compiled Docker image on a ARM 32 bit CPU. Anyone who works with any lower level languages would call me an idiot for realizing this sooner than later. I would agree with them. Docker just seems to work like magic, running on most machines without any issue, like running Linux containers on Windows. One thing that has not been easy though is building Docker images on one type of CPU and running them on another. | ||
