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  • The End of Programming as We Know It

    Join the O'Reilly online learning platform. Get a free trial today and find answers on the fly, or master something new and useful. Learn more Betty Jean Jennings and Frances Bilas (right) program the ENIAC in 1946. Via the Computer History Museum Eventually, interpreted languages, which are much easier to debug, became the norm. BASIC, one of the first of these to hit the big time, was at first s

      The End of Programming as We Know It
    • Why Go? · microsoft/typescript-go · Discussion #411

      Language choice is always a hot topic! We extensively evaluated many language options, both recently and in prior investigations. We also considered hybrid approaches where certain components could be written in a native language, while keeping core typechecking algorithms in JavaScript. We wrote multiple prototypes experimenting with different data representations in different languages, and did

        Why Go? · microsoft/typescript-go · Discussion #411
      • 邦訳の刊行が期待される洋書を紹介しまくることにする(2024年版) - YAMDAS現更新履歴

        さて、私的ゴールデンウィーク恒例企画である「邦訳の刊行が期待される洋書を紹介しまくることにする」の季節である(過去回は「洋書紹介特集」カテゴリから辿れます)。 以前から書いているが、このブログは一度の更新で5つのエントリを公開するのを通例としており、そうするとそのうちひとつくらいは洋書を紹介するエントリを紛れ込ませることができる。そのおかげで、この一年ブログで紹介してきた洋書をまとめるだけで、今回も全38冊(ワオ!)の洋書を紹介できるわけだ。 ご存じの通りの円安の進行のせいで、これから翻訳書の刊行にブレーキがかかるのかもしれない。それは大きな損失だと思う。また先日ある場所で、日本のネットユーザがますます海外の情報に目を向けなくなったという話が出たのだが、翻訳書が減少したら、その傾向にも拍車がかかるかもしれない。面白そうな洋書を知ったら取り上げることで、その傾向に抗いたいのである。 まぁ、こ

          邦訳の刊行が期待される洋書を紹介しまくることにする(2024年版) - YAMDAS現更新履歴
        • xz-utils backdoor situation (CVE-2024-3094)

          xz-backdoor.md FAQ on the xz-utils backdoor (CVE-2024-3094) This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on. Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to

            xz-utils backdoor situation (CVE-2024-3094)
          • 転置インデックスの圧縮技法

            転置インデックスは、検索エンジンの実装において、中心的な役割を果たすデータ構造である。 転置インデックスのデータ構造とアルゴリズムは、クエリ処理アルゴリズムとともに、検索エンジンの性能に直結する。とくに大規模な検索エンジンにおいては、キャッシュ効率を高めてクエリ処理を高速化するために、転置インデックスの圧縮は必要不可欠となっている。 この記事では、転置インデックス、とくにポスティングリストの圧縮について、近年の手法を簡単にまとめる。 目次 転置インデックスの基本 転置インデックスのデータ構造と特性 転置インデックスのアクセスパターン 近年のインデックス圧縮技法 Variable-Byte Family VByte Varint-GB Varint-G8IU Masked-VByte Stream-VByte Opt-VByte Simple Family Simple9 Simple16

              転置インデックスの圧縮技法
            • 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
              • An Interview With Linus Torvalds: Linux and Git - Part 1 30 Years Of Linux

                Jeremy founded Tag1 Consulting in 2007. He has been a contributing core Drupal developer since 2002, and helped establish Drupal as a successful CMS through the early popularity of his personal blog, KernelTrap.org. Over the years, he authored and maintained the core statistics module and throttle module, as well as the pager logic and the initial Drupal 5 installer. He continues to contribute to

                  An Interview With Linus Torvalds: Linux and Git - Part 1 30 Years Of Linux
                • Reflections on OpenAI

                  I left OpenAI three weeks ago. I had joined the company back in May 2024. I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like. Nabeel Qureshi has an amazing post called Reflections on Palantir, where he ruminates on what made Palantir special. I wanted to

                    Reflections on OpenAI
                  • Code Reviews 101 - The Basics | Sema

                    Code improves with multiple reviews and revisions, and this process isn’t something that can be done alone. Spotting errors in code design is difficult at the best of times — and the closer you are to the work, the harder it can be to critique. That’s where code reviews come in. The beginning: introducing code reviewsWhat is a code review? Code improves with multiple reviews and revisions, and thi

                      Code Reviews 101 - The Basics | Sema
                    • The End of Programming – Communications of the ACM

                      The end of classical computer science is coming, and most of us are dinosaurs waiting for the meteor to hit. I came of age in the 1980s, programming personal computers such as the Commodore VIC-20 and Apple ][e at home. Going on to study computer science (CS) in college and ultimately getting a Ph.D. at Berkeley, the bulk of my professional training was rooted in what I will call “classical” CS: p

                      • Mojo may be the biggest programming language advance in decades – fast.ai

                        I remember the first time I used the v1.0 of Visual Basic. Back then, it was a program for DOS. Before it, writing programs was extremely complex and I’d never managed to make much progress beyond the most basic toy applications. But with VB, I drew a button on the screen, typed in a single line of code that I wanted to run when that button was clicked, and I had a complete application I could now

                          Mojo may be the biggest programming language advance in decades – fast.ai
                        • Replit — How to train your own Large Language Models

                          Learn how Replit trains Large Language Models (LLMs) using Databricks, Hugging Face, and MosaicML IntroductionLarge Language Models, like OpenAI's GPT-4 or Google's PaLM, have taken the world of artificial intelligence by storm. Yet most companies don't currently have the ability to train these models, and are completely reliant on only a handful of large tech firms as providers of the technology.

                            Replit — How to train your own Large Language Models
                          • The New Internet: Tailscale's Vision for the Future of Connectivity

                            Avery Pennarun is the CEO and co-founder of Tailscale. A version of this post was originally presented at a company all-hands. We don’t talk a lot in public about the big vision for Tailscale, why we’re really here. Usually I prefer to focus on what exists right now, and what we’re going to do in the next few months. The future can be distracting. But increasingly, I’ve found companies are startin

                              The New Internet: Tailscale's Vision for the Future of Connectivity
                            • 100+ Best GitHub Repositories For Machine Learning

                              There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper

                                100+ Best GitHub Repositories For Machine Learning
                              • What makes Claude Code so damn good (and how to recreate that magic in your agent)!?

                                What makes Claude Code so damn good (and how to recreate that magic in your agent)!?/ vivek / 2025-08-21 Claude Code is the most delightful AI agent/workflow I have used so far. Not only does it make targeted edits or vibe coding throwaway tools less annoying, using Claude Code makes me happy. It has enough autonomy to do interesting things, while not inducing a jarring loss of control like some o

                                  What makes Claude Code so damn good (and how to recreate that magic in your agent)!?
                                • Difyは使用して大丈夫?テンセント系企業?安全なの?|Kyutaro

                                  ※2024/5/11 13:29追記DifyのLuyu Zhang CEOから直接コメントをいただきましたので、この記事の最後に追記いたしました。 Difyはテンセント系企業?使用して大丈夫?最近注目を集めているLLMOpsプラットフォームのDify.aiですが、中国のテンセントがバックにいるのではないかとの憶測がネット上で広がっていました。以下はXで話題の投稿です。 Difyは中国のテンセントがバックです。 DifyのWEB版(サブスク版)は使うべきではありません。裏側からあなたの作ったシステムも、プロンプトも、APIキーも丸見えですから。Gitからシステムをおろし、ローカルで開発し、GCPなどのクラウドで運用するなら、ありと思います。 — 平岡 憲人(HIRAOKA, Norito) Stand with Ukraine (@onokoro48) May 9, 2024 この記事では、

                                    Difyは使用して大丈夫?テンセント系企業?安全なの?|Kyutaro
                                  • Hypershell: A Type-Level DSL for Shell-Scripting in Rust | Context-Generic Programming

                                    Discuss on Reddit, Lobsters, and Hacker News. Summary I am thrilled to introduce Hypershell, a modular, type-level domain-specific language (DSL) for writing shell-script-like programs in Rust. Hypershell is powered by context-generic programming (CGP), which makes it possible for users to extend or modify both the language syntax and semantics. Table of Contents Estimated reading time: 1~2 hours

                                      Hypershell: A Type-Level DSL for Shell-Scripting in Rust | Context-Generic Programming
                                    • Optimizing your LLM in production

                                      Note: This blog post is also available as a documentation page on Transformers. Large Language Models (LLMs) such as GPT3/4, Falcon, and LLama are rapidly advancing in their ability to tackle human-centric tasks, establishing themselves as essential tools in modern knowledge-based industries. Deploying these models in real-world tasks remains challenging, however: To exhibit near-human text unders

                                        Optimizing your LLM in production
                                      • An interface is not an interface - Recent thoughts about clean coding - Spacely Tech Blog

                                        Introduction Recently I've had to work on code which seemed to be based on clean architecture, but after a while I concluded that it is probably not and it made me think about clean coding in general and the principles of clean architecture in particular. Is it about a set of rules, and we are guaranteed to achieve cleanness as long as we follow them? Or is it about abstract principles, which we c

                                          An interface is not an interface - Recent thoughts about clean coding - Spacely Tech Blog
                                        • WebKit Features in Safari 17.0

                                          Sep 18, 2023 by Jen Simmons and the Safari / WebKit Team Today’s the day for Safari 17.0. It’s now available for iOS 17 and iPadOS 17. [Update September 26th] And now, Safari 17.0 is available for macOS Ventura, and macOS Monterey, and macOS Sonoma. Safari 17.0 is also available in the vision OS Simulator, where you can test your website by downloading the latest beta of Xcode 15, which supports t

                                            WebKit Features in Safari 17.0
                                          • 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
                                            • I Don’t Want to Be a Programmer Anymore: When AI Confidence Outshines Human Judgment

                                              The real danger isn’t losing work to machines; it’s surrendering our judgment to them. An empty chair and a glowing screen, when the machine feels like the most confident presence in the room.When AI Sided With My WifeA few weeks ago, my wife and I found ourselves in one of those disagreements couples collect over the years, the kind that feels small in the moment but somehow dawdles. The subject?

                                                I Don’t Want to Be a Programmer Anymore: When AI Confidence Outshines Human Judgment
                                              • The Best AI Coding Tools in 2025

                                                What used to take an entire development sprint now ships in a single afternoon. The numbers prove it: according to Stack Overflow's 2024 Developer Survey of over 65,000 developers, 76% are now using or planning to use AI coding assistants in their development process—up from 70% the previous year. The shift from "AI is a novelty" to "AI is how developers code" happened faster than anyone predicted

                                                  The Best AI Coding Tools in 2025
                                                • FFmpeg - Ultimate Guide | IMG.LY Blog

                                                  These last two sometimes are referred to as "8 bit" or "10 bit" respectively, especially when talking about videos. That means 8/10 bits per single color channel. TransparencySome image formats support an additional channel together with the red, green, and blue components: the alpha channel. The alpha channel determines how transparent a single pixel is, and it can have different bit-depths, it i

                                                    FFmpeg - Ultimate Guide | IMG.LY Blog
                                                  • 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

                                                    • Preparing for the Systems Design and Coding Interview

                                                      At Big Tech and high-growth startups, coding and systems design interviews are common - and fairly standard. A lot of people have asked me for preparation advice for these. Here is what I used when getting ready for an E5/E6 Facebook interview, and the one at Uber - where I was hired as a senior software engineer (L5). It's the same resources I recommend to people who are preparing for Big Tech or

                                                        Preparing for the Systems Design and Coding Interview
                                                      • I Built the Same App 10 Times: Evaluating Frameworks for Mobile Performance | Loren Stewart

                                                        Performance context: All frameworks tested achieve excellent Lighthouse scores (100) with similar First Contentful Paint times. Since performance is essentially identical, bundle size is what differentiates these frameworks for mobile users. The 6.1x range matters for data usage, parse time, and battery consumption. Field data validation: The Chrome User Experience Report (CrUX) provides real-worl

                                                        • Ten Years, Starting Again: My Journey with TiDB

                                                          The most precious things in life are memories and reflection. After we released the next generation TiDB Cloud, I think it is time for some reflection. Time flies — ten years have passed. On April 1, 2015, Max asked me, very seriously on April Fools’ Day, “Do you want to start a company together?” From that moment, I jumped on the TiDB train. The ride has been bumpy and brilliant. In these ten yea

                                                            Ten Years, Starting Again: My Journey with TiDB
                                                          • Introducing Apple’s On-Device and Server Foundation Models

                                                            At the 2024 , we introduced Apple Intelligence, a personal intelligence system integrated deeply into iOS 18, iPadOS 18, and macOS Sequoia. Apple Intelligence is comprised of multiple highly-capable generative models that are specialized for our users’ everyday tasks, and can adapt on the fly for their current activity. The foundation models built into Apple Intelligence have been fine-tuned for u

                                                              Introducing Apple’s On-Device and Server Foundation Models
                                                            • 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)
                                                              • Rust: A Critical Retrospective « bunnie's blog

                                                                Since I was unable to travel for a couple of years during the pandemic, I decided to take my new-found time and really lean into Rust. After writing over 100k lines of Rust code, I think I am starting to get a feel for the language and like every cranky engineer I have developed opinions and because this is the Internet I’m going to share them. The reason I learned Rust was to flesh out parts of t

                                                                • Unlock a new era of innovation with Windows Copilot Runtime and Copilot+ PCs

                                                                  I am excited to be back at Build with the developer community this year. Over the last year, we have worked on reimagining  Windows PCs and yesterday, we introduced the world to a new category of Windows PCs called Copilot+ PCs. Copilot+ PCs are the fastest, most intelligent Windows PCs ever with AI infused at every layer, starting with the world’s most powerful PC Neural Processing Units (NPUs) c

                                                                    Unlock a new era of innovation with Windows Copilot Runtime and Copilot+ PCs
                                                                  • From GPT-2 to gpt-oss: Analyzing the Architectural Advances

                                                                    OpenAI just released their new open-weight LLMs this week: gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2 in 2019. And yes, thanks to some clever optimizations, they can run locally (but more about this later). This is the first time since GPT-2 that OpenAI has shared a large, fully open-weight model. Earlier GPT models showed how the transformer architecture scales. The

                                                                      From GPT-2 to gpt-oss: Analyzing the Architectural Advances
                                                                    • Everything a developer needs to know about Generative AI for SaaS

                                                                      Everything a developer needs to know about Generative AI for SaaS Few months ago, I knew almost nothing about AI. I used ChatGPT and Co-Pilot (I'm civilized, after all), but a lot of the content around AI was Greek to me. Terms like models, transformers, training, inference, RAG, attention, and agents were unfamiliar. Last week, I have completed my first end-to-end AI-based product: AI Code Assist

                                                                        Everything a developer needs to know about Generative AI for SaaS
                                                                      • A Second Conversation with Werner Vogels – Communications of the ACM

                                                                        CACM Web Account Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Sign In Sign Up When I joined Amazon in 1998, the company had a single U.S.-based website selling only books and running a monolithic C application on five servers, a handful of Berkeley DBs for key/va

                                                                        • 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
                                                                            • How Unix Spell Ran in 64kB RAM

                                                                              How do you fit a 250kB dictionary in 64kB of RAM and still perform fast lookups? For reference, even with modern compression techniques like gzip -9, you can't compress this file below 85kB. In the 1970s, Douglas McIlroy faced this exact challenge while implementing the spell checker for Unix at AT&T. The constraints of the PDP-11 computer meant the entire dictionary needed to fit in just 64kB of

                                                                                How Unix Spell Ran in 64kB RAM
                                                                              • Generative AI: A Creative New World

                                                                                A powerful new class of large language models is making it possible for machines to write, code, draw and create with credible and sometimes superhuman results. Humans are good at analyzing things. Machines are even better. Machines can analyze a set of data and find patterns in it for a multitude of use cases, whether it’s fraud or spam detection, forecasting the ETA of your delivery or predictin

                                                                                  Generative AI: A Creative New World
                                                                                • Deploying AVIF for more responsive websites  |  Articles  |  web.dev

                                                                                  AVIF is a new image format that is quickly gaining popularity on the web because of its high compression rates, efficient performance, and broad adoption. AVIF is an open, royalty-free image format that is based on the AV1 video codec standardized by the Alliance for Open Media. This blog post will provide an overview of how AVIF is adopted in the ecosystem, and what kind of performance and qualit

                                                                                    Deploying AVIF for more responsive websites  |  Articles  |  web.dev