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  • プロと読み解く Ruby 3.0 NEWS - クックパッド開発者ブログ

    技術部の笹田(ko1)と遠藤(mame)です。クックパッドで Ruby (MRI: Matz Ruby Implementation、いわゆる ruby コマンド) の開発をしています。お金をもらって Ruby を開発しているのでプロの Ruby コミッタです。 本日 12/25 に、ついに Ruby 3.0.0 がリリースされました。一昨年、昨年に続き、今年も Ruby 3.0 の NEWS.md ファイルの解説をします。NEWS ファイルとは何か、は一昨年の記事を見てください(なお Ruby 3.0.0 から、NEWS.md にファイル名を変えました)。 プロと読み解く Ruby 2.6 NEWS ファイル - クックパッド開発者ブログ プロと読み解くRuby 2.7 NEWS - クックパッド開発者ブログ Ruby 3.0 は、Ruby にとってほぼ 8 年ぶりのメジャーバージョンア

      プロと読み解く Ruby 3.0 NEWS - クックパッド開発者ブログ
    • プロと読み解くRuby 3.4 NEWS - STORES Product Blog

      プロと読み解くRuby 3.4 NEWS テクノロジー部門技術基盤グループの笹田(ko1)と遠藤(mame)です。Ruby (MRI: Matz Ruby Implementation、いわゆる ruby コマンド) の開発をしています。お金をもらって Ruby を開発しているのでプロの Ruby コミッタです。 本日 12/25 に、恒例のクリスマスリリースとして、Ruby 3.4.0 がリリースされました(Ruby 3.4.0 リリース )。今年も STORES Product Blog にて Ruby 3.4 の NEWS.md ファイルの解説をします(ちなみに、STORES Advent Calendar 2024 の記事になります。他も読んでね)。NEWS ファイルとは何か、は以前の記事を見てください。 プロと読み解く Ruby 2.6 NEWS ファイル - クックパッド開発者

        プロと読み解くRuby 3.4 NEWS - STORES Product Blog
      • Don't write clean code, write CRISP code — Bitfield Consulting

        I’m sure we’re all in favour of “clean code”, but it’s one of those motherhood-and-apple-pie things that no one can reasonably disagree with. Who wants to write dirty code, unless maybe it’s for a porn site? The problem, of course, is that few of us can agree on what “clean code” means, and how to get there. A rule like “methods should only do one thing”, looks great on a T-shirt, but it’s not so

          Don't write clean code, write CRISP code — Bitfield Consulting
        • The Prompt Engineering Playbook for Programmers

          Developers are increasingly relying on AI coding assistants to accelerate our daily workflows. These tools can autocomplete functions, suggest bug fixes, and even generate entire modules or MVPs. Yet, as many of us have learned, the quality of the AI’s output depends largely on the quality of the prompt you provide. In other words, prompt engineering has become an essential skill. A poorly phrased

            The Prompt Engineering Playbook for Programmers
          • GitHub - modelcontextprotocol/servers: Model Context Protocol Servers

            Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in

              GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
            • research!rsc: Coroutines for Go

              This post is about why we need a coroutine package for Go, and what it would look like. But first, what are coroutines? Every programmer today is familiar with function calls (subroutines): F calls G, which stops F and runs G. G does its work, potentially calling and waiting for other functions, and eventually returns. When G returns, G is gone and F continues running. In this pattern, only one fu

              • GPT in 60 Lines of NumPy | Jay Mody

                January 30, 2023 In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text. Note: This post assumes familiarity with Python, NumPy, and some basic experience with neural networks. This implementation is for educational purposes, so it's missing lots of features/improv

                • PacketProxyで探るGemini CLIのコンテキストエンジニアリング 〜AIエージェントを信頼できる相棒に〜 | BLOG - DeNA Engineering

                  2025.07.18 技術記事 PacketProxyで探るGemini CLIのコンテキストエンジニアリング 〜AIエージェントを信頼できる相棒に〜 by akira.kuroiwa #gemini-cli #ai #security #aiエージェント #コンテキストエンジニアリング #packetproxy 「なんかよく分からないけど、すごい」で終わらせないために こんにちは、DeNA セキュリティ技術グループの 黒岩 亮 ( @kakira9618 ) です。 AIエージェント、とくに Gemini CLI のようなコーディングを支援してくれるツールは非常に強力で、私たちの開発体験を大きく変えようとしています。しかし、その一方で、こんな風に感じたことはありませんか? 「このファイルの情報、勝手にAIに送られたりしない? 大丈夫かな?」 と、情報管理・セキュリティ面で漠然とした不安を

                    PacketProxyで探るGemini CLIのコンテキストエンジニアリング 〜AIエージェントを信頼できる相棒に〜 | BLOG - DeNA Engineering
                  • What We Learned from a Year of Building with LLMs (Part I)

                    It’s an exciting time to build with large language models (LLMs). Over the past year, LLMs have become “good enough” for real-world applications. The pace of improvements in LLMs, coupled with a parade of demos on social media, will fuel an estimated $200B investment in AI by 2025. LLMs are also broadly accessible, allowing everyone, not just ML engineers and scientists, to build intelligence into

                      What We Learned from a Year of Building with LLMs (Part I)
                    • 📖 vLLMのコードを読んでみよう - ENGINEERING BLOG ドコモ開発者ブログ

                      こんにちは、NTTドコモR&D戦略部の門間です。 この記事では、vLLMのコードを追いつつその中身の動きに迫りたいと思います。 最近、業務やプライベートでLLM関連のいろいろを触っていますが、 OSSのコードリーディングを通じてLLMの推論処理への理解を深めたいというモチベーションです。 🤖 vLLMって? 📚 前提知識 Attention Is All You Need Paged Attention Continuous Batching 📦 vLLMの開発用インストール (Pythonコード開発のみ) Wheelのインストール リポジトリのクローン 起動確認 Pythonコードの改変 デバッガを使ったOSSのコードリーディングのススメ 🧩 vLLMのソフトウェアアーキテクチャ オンライン推論 : FastAPIサーバの立ち上げとEngineClientの生成 1. Engin

                        📖 vLLMのコードを読んでみよう - ENGINEERING BLOG ドコモ開発者ブログ
                      • 1 Billion nested loop iterations

                        Methodology Timings taken via hyperfine on an M3 Macbook pro with 16 gb RAM. Input value of 40 given to each. Swift version: swift-driver version: 1.115 Apple Swift version 6.0.2 (swiftlang-6.0.2.1.2 clang-1600.0.26.4) Clang version: Apple clang version 16.0.0 (clang-1600.0.26.4) Fortran version: GNU Fortran (Homebrew GCC 14.2.0_1) 14.2.0 R version: Rscript (R) version 4.4.2 (2024-10-31) Kotlin ve

                        • Changing std::sort at Google’s Scale and Beyond

                          TL;DR; We are changing std::sort in LLVM’s libcxx. That’s a long story of what it took us to get there and all possible consequences, bugs you might encounter with examples from open source. We provide some benchmarks, perspective, why we did this in the first place and what it cost us with exciting ideas from Hyrum’s Law to reinforcement learning. All changes went into open source and thus I can

                            Changing std::sort at Google’s Scale and Beyond
                          • Things we learned about LLMs in 2024

                            31st December 2024 A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments. This is a sequel to my review of 2023. In this article: The GPT-4 barrier was comprehensively broken Some of those GPT-4 models run on my laptop LLM pri

                              Things we learned about LLMs in 2024
                            • Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction - cl-fast-ecs by Andrew

                              Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction In this series of tutorials, we will delve into creating simple 2D games in Common Lisp. The result of the first part will be a development environment setup and a basic simulation displaying a 2D scene with a large number of physical objects. It is assumed that the reader is familiar with some high-level programming language, has a gener

                                Gamedev in Lisp. Part 1: ECS and Metalinguistic Abstraction - cl-fast-ecs by Andrew
                              • 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)
                                • Agents

                                  Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.” The unprecedented capabilities of foundation models have opened the door to agentic applications that were previously unimaginabl

                                    Agents
                                  • 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)
                                    • Golang Mini Reference 2022: A Quick Guide to the Modern Go Programming Language (REVIEW COPY)

                                      Golang Mini Reference 2022 A Quick Guide to the Modern Go Programming Language (REVIEW COPY) Harry Yoon Version 0.9.0, 2022-08-24 REVIEW COPY This is review copy, not to be shared or distributed to others. Please forward any feedback or comments to the author. • feedback@codingbookspress.com The book is tentatively scheduled to be published on September 14th, 2022. We hope that when the release da

                                      • AST vs. Bytecode: Interpreters in the Age of Meta-Compilation

                                        233 AST vs. Bytecode: Interpreters in the Age of Meta-Compilation OCTAVE LAROSE, University of Kent, UK SOPHIE KALEBA, University of Kent, UK HUMPHREY BURCHELL, University of Kent, UK STEFAN MARR, University of Kent, UK Thanks to partial evaluation and meta-tracing, it became practical to build language implementations that reach state-of-the-art peak performance by implementing only an interprete

                                        • Parsing SQL - Strumenta

                                          The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However

                                            Parsing SQL - Strumenta
                                          • How I developed a faster Ruby interpreter | Red Hat Developer

                                            In this article, I will describe my efforts to implement a faster interpreter for CRuby, the Ruby language interpreter, using a dynamically specialized internal representation (IR). I believe this article will interest developers trying to improve the interpreter performance of dynamic programming languages (e.g., CPython developers). I will cover the following topics: Existing CRuby interpreter a

                                              How I developed a faster Ruby interpreter | Red Hat Developer
                                            • Recto — a truly 2D language

                                              Masato Hagiwara Open in Recto Pad Google Colab Github Recto Pad TL;DR Recto is a 2D programming language that uses nested rectangles as its core syntax, encoding structure and recursion directly in space instead of a linear stream of text. Recto explores new ways to write, parse, and reason about code—and even natural language—spatially. Introduction Open in Recto Pad Virtually all the languages w

                                                Recto — a truly 2D language
                                              • A new way to bring garbage collected programming languages efficiently to WebAssembly · V8

                                                Show navigation A recent article on WebAssembly Garbage Collection (WasmGC) explains at a high level how the Garbage Collection (GC) proposal aims to better support GC languages in Wasm, which is very important given their popularity. In this article, we will get into the technical details of how GC languages such as Java, Kotlin, Dart, Python, and C# can be ported to Wasm. There are in fact two m

                                                • June 2023 (version 1.80)

                                                  Update 1.80.1: The update addresses these issues. Update 1.80.2: The update addresses this security issue. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the June 2023 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Accessibility improvements - Accessible V

                                                    June 2023 (version 1.80)
                                                  • Kalyn: a self-hosting compiler for x86-64

                                                    Over the course of my Spring 2020 semester at Harvey Mudd College, I developed a self-hosting compiler entirely from scratch. This article walks through many interesting parts of the project. It’s laid out so you can just read from beginning to end, but if you’re more interested in a particular topic, feel free to jump there. Or, take a look at the project on GitHub. Table of contents What the pro

                                                    • February 2021 (version 1.54)

                                                      Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.54.1: The update addresses an issue with an extension dependency. Update 1.54.2: The update addresses these issues. Update 1.54.3: The update addresses this issue. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the February 2021 release of Vi

                                                        February 2021 (version 1.54)
                                                      • Patterns for Building LLM-based Systems & Products

                                                        Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”

                                                          Patterns for Building LLM-based Systems & Products
                                                        • Codestral | Mistral AI

                                                          CodestralEmpowering developers and democratising coding with Mistral AI. We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI appli

                                                            Codestral | Mistral AI
                                                          • July 2022 (version 1.70)

                                                            Join a VS Code Dev Days event near you to learn about AI-assisted development in VS Code. Update 1.70.1: The update addresses these issues. Update 1.70.2: The update addresses these issues. Update 1.70.3: This update is only available for Windows 7 users and is the last release supporting Windows 7. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welc

                                                              July 2022 (version 1.70)
                                                            • Node.js

                                                              Notable Changes Deprecations and Removals (SEMVER-MAJOR) fs: remove permissive rmdir recursive (Antoine du Hamel) #37216 (SEMVER-MAJOR) fs: runtime deprecate rmdir recursive option (Antoine du Hamel) #37302 (SEMVER-MAJOR) lib: runtime deprecate access to process.binding('http_parser') (James M Snell) #37813 (SEMVER-MAJOR) lib: runtime deprecate access to process.binding('url') (James M Snell) #377

                                                                Node.js
                                                              • A Walk with LuaJIT

                                                                The following is a chronicle of implementing a general purpose zero-instrumentation BPF based profiler for LuaJIT. Some assumptions are made about what this entails and it may be helpful to read some of our other work in this area. One major change from prior efforts is that instead of working with the original Parca unwinder we are now working with the OpenTelemetry eBPF profiler. If you missed t

                                                                  A Walk with LuaJIT
                                                                • Why I use attrs instead of pydantic

                                                                  This post is an account of why I prefer using the attrs library over Pydantic. I'm writing it since I am often asked this question and I want to have something concrete to link to. This is not meant to be an objective comparison of attrs and Pydantic; I'm not interested in comparing bullet points of features, nor can I be unbiased since I'm a major contributor to attrs (at time of writing, second

                                                                  • What's new in Python 3.11?

                                                                    What's new in Python 3.11?Built-in TOML support, better exceptions, and typing improvements. By Tushar·InsightsPython The first beta release of Python 3.11 is out, bringing some fascinating features for us to tinker with. This is what you can expect to see in 2022's release of Python later this year. Even better error messagesPython 3.10 gave us better error messages in various regards, but Python

                                                                      What's new in Python 3.11?
                                                                    • Bringing the power of AI to Windows 11 – unlocking a new era of productivity for customers and developers with Windows Copilot and Dev Home

                                                                      Bringing the power of AI to Windows 11 – unlocking a new era of productivity for customers and developers with Windows Copilot and Dev Home The team and I are pumped to be back at Build with the developer community this year. Over the last year, Windows has continued to see incredible growth fueled by Windows 11 adoption. In fact, one of the most exciting areas driving that growth for Windows has

                                                                        Bringing the power of AI to Windows 11 – unlocking a new era of productivity for customers and developers with Windows Copilot and Dev Home
                                                                      • 0.8.0 Release Notes ⚡ The Zig Programming Language

                                                                        Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by

                                                                        • Building the fastest Lua interpreter.. automatically!

                                                                          This is Part 1 of a series of posts. Part 2 is available here: Building a baseline JIT for Lua automatically It is well-known that writing a good VM for a dynamic language is never an easy job. High-performance interpreters, such as the JavaScript interpreter in Safari, or the Lua interpreter in LuaJIT, are often hand-coded in assembly. If you want a JIT compiler for better performance, well, you’

                                                                            Building the fastest Lua interpreter.. automatically!
                                                                          • Zig in 30 minutes

                                                                            test.md A half-hour to learn Zig This is inspired by https://fasterthanli.me/blog/2020/a-half-hour-to-learn-rust/ Basics the command zig run my_code.zig will compile and immediately run your Zig program. Each of these cells contains a zig program that you can try to run (some of them contain compile-time errors that you can comment out to play with) You'll want to declare a main() function to get

                                                                              Zig in 30 minutes
                                                                            • 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. A year and a half ago, during Google Cloud Next 24, we published this list for the first time. It numbered 101 entries. It felt like a lot at the time, and served as a showcase of how much momentum b

                                                                                Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
                                                                              • How a simple Linux kernel memory corruption bug can lead to complete system compromise

                                                                                In this case, reallocating the object as one of those three types didn't seem to me like a nice way forward (although it should be possible to exploit this somehow with some effort, e.g. by using count.counter to corrupt the buf field of seq_file). Also, some systems might be using the slab_nomerge kernel command line flag, which disables this merging behavior. Another approach that I didn't look

                                                                                • So You Want To Remove The GVL?

                                                                                  I want to write a post about Pitchfork, explaining where it comes from, why it is like it is, and how I see its future. But before I can get to that, I think I need to share my mental model on a few things, in this case, Ruby’s GVL. For quite a long time, it has been said that Rails applications are mostly IO-bound, hence Ruby’s GVL isn’t that big of a deal and that has influenced the design of so