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  • 巨人の肩に乗る

    本記事は 仮想通貨 Advent Calendar 2025 の24日目の記事です。 はじめに はじめまして、ymdと申します。普段は、株や暗号資産の分析をし、マーケットが盛り上がったときに落ちているお金を拾っています。 今年のAdvent Calendarを眺めていると、DEXの分析やLLMを活用した自動トレード戦略作成など、非常に有益な記事が目白押しです。 これらを見て思い出したのが、ニュートンの「巨人の肩に乗る」という言葉。本記事では、この精神に倣い、AIの力と先人の知見という2つの「肩」を借りながら、お金拾いの方法を探っていきます。 AIの肩に乗る AI駆動開発の3つのアプローチ AIを活用した開発には、大きく3つの方向性があります: 情報収集の自動化:論文や API ドキュメントの要約 戦略生成の自動化:複数のアプローチを並行生成 コーディングの自動化:コードそのものを AI に

      巨人の肩に乗る
    • 【実践】PythonとOpenStreetMapで学ぶ経路システム開発入門 - uepon日々の備忘録

      前回はGoogle Map APIを使用して開発を行いましたが、今回はOpenStreetMapを使用した似たようなことにチャレンジしてみようと思います。Pythonを使ってOpenStreetMapの経路検索URLを生成する方法ことを目的とします。 参考 uepon.hatenadiary.com オープンストリートマップ(OpenStreetMap)とは? オープンストリートマップ(英語: OpenStreetMap、OSM)は、自由に利用でき、なおかつ編集機能のある世界地図を作るオープンコラボレーションプロジェクトである。GPS機能を持った携帯機器、空中写真、衛星画像、他の地理情報システムからのデータをもとに作られていくのが基本だが、編集ツール上で道1本から手入力での追加も可能である。与えられた画像とベクトルデータセットはオープンデータベースライセンス(ODbL)1.0のもと再利用可

        【実践】PythonとOpenStreetMapで学ぶ経路システム開発入門 - uepon日々の備忘録
      • RFC 9562: Universally Unique IDentifiers (UUIDs)

         Internet Engineering Task Force (IETF) K. Davis Request for Comments: 9562 Cisco Systems Obsoletes: 4122 B. Peabody Category: Standards Track Uncloud ISSN: 2070-1721 P. Leach University of Washington May 2024 Universally Unique IDentifiers (UUIDs) Abstract This specification defines UUIDs (Universally Unique IDentifiers) -- also known as GUIDs (Globally Unique IDentifiers) -- and a Uniform Resou

          RFC 9562: Universally Unique IDentifiers (UUIDs)
        • June 2022 (version 1.69)

          Update 1.69.1: The update addresses these issues. Update 1.69.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the June 2022 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: 3-way merge editor - Resolve merge conflicts wit

            June 2022 (version 1.69)
          • April 2022 (version 1.67)

            Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.67.1: The update addresses this security issue. Update 1.67.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2022 release of Visual Studio Code. There are many updates in this version that we hope

              April 2022 (version 1.67)
            • May 2025 (version 1.101)

              Version 1.108 is now available! Read about the new features and fixes from December. Release date: June 12, 2025 Security update: The following extension has security updates: ms-python.python. Update 1.101.1: The update addresses these issues. Update 1.101.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome t

                May 2025 (version 1.101)
              • A decade of developing a programming language

                In 2013, I had an idea: "what if I were to build my programming language?". Back then my idea came down to "an interpreted language that mixes elements from Ruby and Smalltalk", and not much more. Between 2013 and 2015 I spent time on and off trying different languages (C, C++, D and various others I can't remember) to see which one I would use to build my language in. While this didn't help me fi

                • Coroutines and effects

                  For the past few months I’ve been mulling over some things that Russell Johnston made me realize about the relationship between effect systems and coroutines. You can read more of his thoughts on this subject here, but he made me realize that effect systems (like that found in Koka) and coroutines (like Rust’s async functions or generators) are in some ways isomorphic to one another. I’ve been pon

                  • Beyond the 70%: Maximizing the human 30% of AI-assisted coding

                    Beyond the 70%: Maximizing the human 30% of AI-assisted codingWhy durable human skills matter in the age of AI-assisted coding This is a follow-up to my article “The 70% problem: Hard truths about AI-assisted coding” AI coding assistants like Cursor, Cline, Copilot and WindSurf have transformed how software is built, shouldering much of the grunt work and boilerplate. Yet, as experienced developer

                      Beyond the 70%: Maximizing the human 30% of AI-assisted coding
                    • Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

                      AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Published April 12, 2024; last updated October 9, 2025. Automotive & Logistics Business & Professional Services Financial Services Healthcare & Life Sciences Hospitality & Travel Manufacturing, Industrial & Electronics Media, Marketing & Gaming Public Sec

                        Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
                      • xvw.lol - Why I chose OCaml as my primary language

                        This article is a translation, the original version is available here. I started using the OCaml language regularly around 2012, and since then, my interest and enthusiasm for this language have only grown. It has become my preferred choice for almost all my personal projects, and it has also influenced my professional choices. Since 2014, I have been actively participating in public conferences d

                        • Mojo vision | Modular

                          Our vision for Mojo is to be the one programming language developers need to target diverse hardware—CPUs, GPUs, and other accelerators—using Python's intuitive syntax combined with modern systems programming capabilities. Although this vision focuses on the Mojo language, we recognize it's just one part of a larger Mojo ecosystem. When combined, the developer tools, the community, and the landsca

                            Mojo vision | Modular
                          • The AI-Native Software Engineer

                            An AI-native software engineer is one who deeply integrates AI into their daily workflow, treating it as a partner to amplify their abilities. This requires a fundamental mindset shift. Instead of thinking “AI might replace me” an AI-native engineer asks for every task: “Could AI help me do this faster, better, or differently?”. The mindset is optimistic and proactive - you see AI as a multiplier

                              The AI-Native Software Engineer
                            • A from-scratch tour of Bitcoin in Python

                              I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to share a running computer, and anyone anywhere can use it in an open and permissionless manner. The seeds of this revolution arguably began with Bitcoin, so I became curious to dril

                              • 🤓 So you're using a weird language 🧠

                                Tuesday, September 13, 2022 :: Tagged under: engineering. ⏰ 11 minutes. Hey! Thanks for reading! Just a reminder that I wrote this some years ago, and may have much more complicated feelings about this topic than I did when I wrote it. Happy to elaborate, feel free to reach out to me! 😄 🎵 The song for this post is I, Don Quixote from the musical Man of La Mancha, composed by Mitch Leigh and Joe

                                  🤓 So you're using a weird language 🧠
                                • LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus

                                  LambdaLisp is a Lisp interpreter written as an untyped lambda calculus term. The input and output text is encoded into closed lambda terms using the Mogensen-Scott encoding, so the entire computation process solely consists of the beta-reduction of lambda calculus terms. When run on a lambda calculus interpreter that runs on the terminal, it presents a REPL where you can interactively define and e

                                    LambdaLisp - A Lisp Interpreter That Runs on Lambda Calculus
                                  • May 2024 (version 1.90)

                                    Update 1.90.2: The update addresses these issues. Update 1.90.1: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the May 2024 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Editor tabs multi-select - Select and perform act

                                      May 2024 (version 1.90)
                                    • August 2024 (version 1.93)

                                      Update 1.93.1: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the August 2024 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Profiles editor - Switch and manage your profiles from a single place. Django unit test support

                                        August 2024 (version 1.93)
                                      • Python Interview Questions

                                        Here is a list of common Python interview questions with detailed answers to help you prepare for the interview as a Python developer. Python, with its versatile use cases and straightforward syntax, has seen its popularity growing continuously in software development, data science, artificial intelligence, and many other fields. As such, interviews for Python-related positions are designed not on

                                          Python Interview Questions
                                        • Sketch of a Post-ORM

                                          I’ve been writing a lot of database access code as of late. It’s frustrating that in 2023, my choices are still to either write all of the boilerplate by hand, or hand all database access over to some inscrutable “agile” ORM that will become a crippling liability in the 2-3y timescale. This post is about how I want to use databases, from the perspective of an application server developer—not a DBA

                                            Sketch of a Post-ORM
                                          • Markdown Is a Disaster: Why and What to Do Instead

                                            Show Sidebar Recent articles About this blog How to use this blog efficiently Subscribe to one of my feeds: links only feed (most reliable) article teaser feed full content feed TBD: Per Tag Feeds TBD: Archive Top tags: software (266) pim (172) hardware (121) austria (84) graz (77) emacs (76) security (68) diy (63) cloud (63) privacy (62) Updates 2025-09-17: You can find two podcast episodes on th

                                              Markdown Is a Disaster: Why and What to Do Instead
                                            • Following up on the Python JIT

                                              Performance of Python programs has been a major focus of development for the language over the last five years or so; the Faster CPython project has been a big part of that effort. One of its subprojects is to add an experimental just-in-time (JIT) compiler to the language; at last year's PyCon US, project member Brandt Bucher gave an introduction to the copy-and-patch JIT compiler. At PyCon US 20

                                              • Philosophy of coroutines

                                                [Simon Tatham, initial version 2023-09-01, last updated 2025-03-25] [Coroutines trilogy: C preprocessor | C++20 native | general philosophy ] Introduction Why I’m so enthusiastic about coroutines The objective view: what makes them useful? Versus explicit state machines Versus conventional threads The subjective view: why do I like them so much? “Teach the student when the student is ready” They s

                                                • Using Python to Simplify Data Operations in Data Science

                                                  In Data Science, we primarily use Python as a programming language to perform operations on the available datasets. This article will discuss concepts and details for using Pythons to simplify data operations in data science. Pros and Cons of Python for Data OperationsEven though the pros outweigh the cons, it is crucial to look at both aspects. So, let’s have a look at the advantages and limitati

                                                    Using Python to Simplify Data Operations in Data Science
                                                  • The Realistic Guide to Mastering AI Agents in 2026

                                                    Paul: Today’s spotlight: Paolo Perrone, master of turning tech into scroll-stopping content. This one’s packed, let’s go 👀 ↓ I’m going to be honest with you. Most AI agent tutorials are garbage. They show you how to copy-paste LangChain code, build a demo that breaks the moment you try anything real, and leave you feeling like you learned something. Three months later, you try to build something

                                                      The Realistic Guide to Mastering AI Agents in 2026
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