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  • 「Postgres で試した?」と聞き返せるようになるまでもしくはなぜ私は雰囲気で技術を語るのか? — Just use Postgres 読書感想文 - じゃあ、おうちで学べる

    はじめに 「Just use Postgres」という言葉を初めて聞いたのは、いつだったか覚えていません。Twitter か Hacker News か、あるいは社内の Slack か。どこで聞いたにせよ、私の反応は決まっていました。「また極端なことを言う人がいる」と。 「それ、〇〇でもできますよ」——この手のフレーズはもう100回は聞いてきました。そして大抵の場合、その〇〇は専用ツールに置き換えられていきます。技術が専門分化していくのは自然な流れです。 全文検索なら Elasticsearch。時系列データなら InfluxDB。メッセージキューなら RabbitMQ。それぞれの分野に専門家がいて、専用のソリューションがあって、ベストプラクティスがあります。「とりあえず Postgres で」なんて、それは思考停止ではないか、と。でも、心のどこかで気になっていたんです。 www.mann

      「Postgres で試した?」と聞き返せるようになるまでもしくはなぜ私は雰囲気で技術を語るのか? — Just use Postgres 読書感想文 - じゃあ、おうちで学べる
    • 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
      • OOP: the worst thing that happened to programming

        > BTC: bc1qs0sq7agz5j30qnqz9m60xj4tt8th6aazgw7kxr ETH: 0x1D834755b5e889703930AC9b784CB625B3cd833E USDT(Tron): TPrCq8LxGykQ4as3o1oB8V7x1w2YPU2o5n Ton: UQAtBuFWI3H_LpHfEToil4iYemtfmyzlaJpahM3tFSoxomYQ Doge: D7GMQdKhKC9ymbT9PtcetSFTQjyPRRfkwTdismiss OOP: the worst thing that happened to programming [2/24/2025] In this article, we will try to understand why OOP is the worst thing that happened to prog

          OOP: the worst thing that happened to programming
        • Introducing Ezno

          Ezno is an experimental compiler I have been working on and off for a while. In short, it is a JavaScript compiler featuring checking, correctness and performance for building full-stack (rendering on the client and server) websites. This post is just an overview of some of the features I have been working on which I think are quite cool as well an overview on the project philosophy ;) It is still

            Introducing Ezno
          • 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
            • How to create Skills for Claude: steps and examples | Claude

              Skills are custom instructions that extend Claude's capabilities for specific tasks or domains. When you create a skill via a SKILL.md file, you're teaching Claude how to handle specific scenarios more effectively. The power of skills lies in their ability to encode institutional knowledge, standardize outputs, and handle complex multi-step workflows that would otherwise require repeated explanati

                How to create Skills for Claude: steps and examples | Claude
              • Rewriting the Ruby parser

                At Shopify, we have spent the last year writing a new Ruby parser, which we’ve called YARP (Yet Another Ruby Parser). As of the date of this post, YARP can parse a semantically equivalent syntax tree to Ruby 3.3 on every Ruby file in Shopify’s main codebase, GitHub’s main codebase, CRuby, and the 100 most popular gems downloaded from rubygems.org. We recently got approval to merge this work into C

                  Rewriting the Ruby parser
                • Announcing TypeScript 5.2 - TypeScript

                  Today we’re excited to announce the release of TypeScript 5.2! If you’re not familiar with TypeScript, it’s a language that builds on top of JavaScript by making it possible to declare and describe types. Writing types in our code allows us to explain intent and have other tools check our code to catch mistakes like typos, issues with null and undefined, and more. Types also power TypeScript’s edi

                    Announcing TypeScript 5.2 - TypeScript
                  • Prompt Engineering

                    Date: March 15, 2023 | Estimated Reading Time: 21 min | Author: Lilian Weng Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy experimentation a

                    • 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

                        • Announcing TypeScript 5.2 RC - TypeScript

                          Today we’re excited to announce our Release Candidate of TypeScript 5.2! Between now and the stable release of TypeScript 5.2, we expect no further changes apart from critical bug fixes. To get started using the RC, you can get it through NuGet, or through npm with the following command: npm install -D typescript@rc Here’s a quick list of what’s new in TypeScript 5.2! using Declarations and Explic

                            Announcing TypeScript 5.2 RC - TypeScript
                          • 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
                            • syntaxdesign

                              One of the most recognizable features of a languages is its syntax. What are some of the things about syntax that matter? What questions might you ask if you were creating a syntax for your own language? Motivation A programming language gives us a way structure our thoughts. Each program, has a kind of internal structure, for example: How can we capture this structure? One way is directly, via pi

                              • Agentic GraphRAG for Commercial Contracts | Towards Data Science

                                In every business, legal contracts are foundational documents that define the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives decision-making, risk management, and compliance. However, navigating and extracting insights from these contracts can be a

                                  Agentic GraphRAG for Commercial Contracts | Towards Data Science
                                • Little Languages Are The Future Of Programming

                                  I’ve become convinced that “little languages”—small languages designed to solve very specific problems—are the future of programming, particularly after reading Gabriella Gonzalez’s The end of history for programming and watching Alan Kay’s Programming and Scaling talk. You should go check them out because they’re both excellent, but if you stick around I’ll explain just what I mean by “little lan

                                    Little Languages Are The Future Of Programming
                                  • Edge AI Just Got Faster

                                    When Meta released LLaMA back in February, many of us were excited to see a high-quality Large Language Model (LLM) become available for public access. Many of us who signed up however, had difficulties getting LLaMA to run on our edge and personal computer devices. One month ago, Georgi Gerganov started the llama.cpp project to provide a solution to this, and since then his project has been one o

                                      Edge AI Just Got Faster
                                    • April 2025 (version 1.100)

                                      Release date: May 8, 2025 Update: Enable Next Edit Suggestions (NES) by default in VS Code Stable (more...). Update 1.100.1: The update addresses these security issues. Update 1.100.2: The update addresses these issues. Update 1.100.3: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2025 release

                                        April 2025 (version 1.100)
                                      • Beyond the 70%: Maximizing the human 30% 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 developers and industry leaders note, there remains a crucial portion of software engineering that AI does not handle well – roughly tha

                                          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. 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
                                          • LLM Powered Autonomous Agents

                                            Date: June 23, 2023 | Estimated Reading Time: 31 min | Author: Lilian Weng Building agents with LLM (large language model) as its core controller is a cool concept. Several proof-of-concepts demos, such as AutoGPT, GPT-Engineer and BabyAGI, serve as inspiring examples. The potentiality of LLM extends beyond generating well-written copies, stories, essays and programs; it can be framed as a powerfu

                                            • Solving Quantitative Reasoning Problems With Language Models

                                              Solving Quantitative Reasoning Problems with Language Models Aitor Lewkowycz∗, Anders Andreassen†, David Dohan†, Ethan Dyer†, Henryk Michalewski†, Vinay Ramasesh†, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur∗, Guy Gur-Ari∗, and Vedant Misra∗ Google Research Abstract Language models have achieved remarkable performance on a wide range of tasks that require

                                              • Unix/Linux シェル考古学 ~シェルスクリプトが本物のプログラミング言語である理由~ - Qiita

                                                はじめに タイトルは「Unix考古学」のパクリですがこの記事と直接の関係はありません。Unix 誕生時点のシェルから POSIX シェルが策定されるまでのシェルの歴史を調べてみました。サブタイトルが微妙にタイトルとずれてる感じがするかもしれませんが、この記事はもともとシェルスクリプトは何を目指して設計された言語なのか疑問になって調べ始めたものだからです。時々「シェルスクリプトじゃなくて本物のプログラミング言語で書くべきだ」というような話を目にしますが、実際はシェルスクリプトはプログラミング言語なのか?そうではないのか?なので、むしろサブタイトルのほうが本題です。 ソースは wikipedia(日本語版は情報が古いので主に英語版)およびそこからの外部リンクなどを適当に調べてまとめたものです。内容に疑問に感じる場合は独自で調べるのをおすすめします。ちなみに ~sven_mascheck/ はお

                                                  Unix/Linux シェル考古学 ~シェルスクリプトが本物のプログラミング言語である理由~ - Qiita
                                                • Compiling typed Python

                                                  It’s been nine whole years since PEP 484 landed and brought us types from on high. This has made a lot of people very angry and been widely regarded as a bad move1. Since then, people on the internet have been clamoring to find out: does this mean we can now compile Python to native code for more speed? It’s a totally reasonable question. It was one of my first questions when I first started worki

                                                  • The State of React and the Community in 2025

                                                    Random musings on React, Redux, and more, by Redux maintainer Mark "acemarke" Erikson Detailed thoughts on how React has been developed over time, and explanations for common community confusion and concerns Introduction 🔗︎ Today, the state of React and its ecosystem is complicated and fractured, with a mixture of successes, skepticism, and contention. On the positive side: React is the most wide

                                                      The State of React and the Community in 2025
                                                    • Andrej Karpathy — AGI is still a decade away

                                                      The Andrej Karpathy episode. Andrej explains why reinforcement learning is terrible (but everything else is much worse), why model collapse prevents LLMs from learning the way humans do, why AGI will just blend into the previous ~2.5 centuries of 2% GDP growth, why self driving took so long to crack, and what he sees as the future of education. Watch on YouTube; listen on Apple Podcasts or Spotify

                                                        Andrej Karpathy — AGI is still a decade away
                                                      • Flattening Rust's Learning Curve | corrode Rust Consulting

                                                        I see people make the same mistakes over and over again when learning Rust. Here are my thoughts (ordered by importance) on how you can ease the learning process. My goal is to help you save time and frustration. Let Your Guard Down Stop resisting. That’s the most important lesson. Accept that learning Rust requires adopting a completely different mental model than what you’re used to. There are a

                                                          Flattening Rust's Learning Curve | corrode Rust Consulting
                                                        • Python behind the scenes #13: the GIL and its effects on Python multithreading

                                                          As you probably know, the GIL stands for the Global Interpreter Lock, and its job is to make the CPython interpreter thread-safe. The GIL allows only one OS thread to execute Python bytecode at any given time, and the consequence of this is that it's not possible to speed up CPU-intensive Python code by distributing the work among multiple threads. This is, however, not the only negative effect of

                                                          • Software Engineering - The Soft Parts

                                                            In "Software Engineering - The Soft Parts" Addy Osmani shares lessons from his first 10 years at Google on the "soft skills" that can help engineers become effective and scale their effectiveness. This guidance should help junior, mid-career and even senior developers move forward, deal with changing technology, and navigate building non-trivial systems. Today I'll share some of the software engin

                                                              Software Engineering - The Soft Parts
                                                            • Announcing TypeScript 5.2 Beta - TypeScript

                                                              Today we are excited to announce the availability of TypeScript 5.2 Beta. To get started using the beta, you can get it through NuGet, or through npm with the following command: npm install -D typescript@beta Here’s a quick list of what’s new in TypeScript 5.2! using Declarations and Explicit Resource Management Decorator Metadata Named and Anonymous Tuple Elements Easier Method Usage for Unions o

                                                                Announcing TypeScript 5.2 Beta - TypeScript
                                                              • prompts.chat

                                                                Welcome to the “Awesome ChatGPT Prompts” repository! While this collection was originally created for ChatGPT, these prompts work great with other AI models like Claude, Gemini, Hugging Face Chat, Llama, Mistral, and more. ChatGPT is a web interface created by OpenAI that provides access to their GPT (Generative Pre-trained Transformer) language models. The underlying models, like GPT-4o and GPT-o

                                                                • How it became like this? Ruby Range class

                                                                  Understanding the core class design and usage via its evolution Years ago, my studies into the Ruby Evolution started with the persuasion that mastering the programming language to express one’s intentions clearly and efficiently may grow significantly by understanding how it evolved and what intentions were put behind its various elements. Moving back through the history of a change of some eleme

                                                                    How it became like this? Ruby Range class
                                                                  • 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

                                                                    • Patterns in confusing explanations

                                                                      August 19, 2021 Hello! Recently I’ve been thinking about why I explain things the way I do. The usual way I write is: Try to learn a topic Read a bunch of explanations that I find confusing Eventually understand the topic Write an explanation that makes sense to me, to help others So why do I find all these explanations so confusing? I decided to try and find out! I came up with a list of 13 patte

                                                                      • microsoft/Phi-3-vision-128k-instruct · Hugging Face

                                                                        Intended Uses Primary use cases The model is intended for broad commercial and research use in English. The model provides uses for general purpose AI systems and applications with visual and text input capabilities which require memory/compute constrained environments; latency bound scenarios; general image understanding; OCR; chart and table understanding. Our model is designed to accelerate res

                                                                          microsoft/Phi-3-vision-128k-instruct · Hugging Face
                                                                        • Liberation Without Victory

                                                                          In a wide-ranging conversation at his compound in Kyiv, Ukrainian President Volodymyr Zelensky tells The Atlantic what Ukraine needs to survive—and describes the price it has paid. Kyiv is halfway normal now. Burnt-out Russian tanks have been removed from the roads leading into the city, traffic lights work, the subway runs, oranges are available for purchase. A cheerful folk orchestra was perform

                                                                            Liberation Without Victory
                                                                          • Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics

                                                                            Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics Michael Armbrust1, Ali Ghodsi1,2, Reynold Xin1, Matei Zaharia1,3 1Databricks, 2UC Berkeley, 3Stanford University Abstract This paper argues that the data warehouse architecture as we know it today will wither in the coming years and be replaced by a new architectural pattern, the Lakehouse, which will

                                                                            • Python behind the scenes #11: how the Python import system works

                                                                              If you ask me to name the most misunderstood aspect of Python, I will answer without a second thought: the Python import system. Just remember how many times you used relative imports and got something like ImportError: attempted relative import with no known parent package; or tried to figure out how to structure a project so that all the imports work correctly; or hacked sys.path when you couldn

                                                                              • Gregory Szorc's Digital Home | Rust is for Professionals

                                                                                A professional programmer delivers value through the authoring and maintaining of software that solves problems. (There are other important ways for professional programmers to deliver value but this post is about programming.) Programmers rely on various tools to author software. Arguably the most important and consequential choice of tool is the programming language. In this post, I will articul

                                                                                • Software engineering with LLMs in 2025: reality check

                                                                                  Hi – this is Gergely with the monthly, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover challenges at Big Tech and startups through the lens of engineering managers and senior engineers. If you’ve been forwarded this email, you can subscribe here. Two weeks ago, I gave a keynote at LDX3 in London, “Software engineering with GenAI.” During the weeks prior, I talked with soft

                                                                                    Software engineering with LLMs in 2025: reality check