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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
    • 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
        • 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
          • 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
            • 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
              • 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)
                • 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
                  • 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
                    • 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
                      • Where Programming, Ops, AI, and the Cloud are Headed in 2021

                        In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. But what are “trends”? All too often, trends degenerate into horse races over languages and platforms. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. Those repo

                          Where Programming, Ops, AI, and the Cloud are Headed in 2021
                        • Hacker News folk wisdom on visual programming

                          I’m a fairly frequent Hacker News lurker, especially when I have some other important task that I’m avoiding. I normally head to the Active page (lots of comments, good for procrastination) and pick a nice long discussion thread to browse. So over time I’ve ended up with a good sense of what topics come up a lot. “The Bay Area is too expensive.” “There are too many JavaScript frameworks.” “Bootcam

                            Hacker News folk wisdom on visual programming
                          • What We’ve Learned From A Year of Building with LLMs – Applied LLMs

                            A practical guide to building successful LLM products, covering the tactical, operational, and strategic. 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. And they’re getting better and cheaper every year. Coupled with a parade of demos on social media, there will be an estimated $200B investment in AI

                              What We’ve Learned From A Year of Building with LLMs – Applied LLMs
                            • 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

                              • Welcome to C# 11 - .NET Blog

                                No trial. No credit card required. Just your GitHub account. I am excited to announce that C# 11 is out! As always, C# opens some entirely new fronts, even while advancing several themes that have been in motion over past releases. There are many features and many details, which are beautifully covered under What’s new in C# 11 on our docs pages. What follows here is an appetizer of some of the hi

                                  Welcome to C# 11 - .NET Blog
                                • The Best GPUs for Deep Learning in 2023 — An In-depth Analysis

                                  Deep learning is a field with intense computational requirements, and your choice of GPU will fundamentally determine your deep learning experience. But what features are important if you want to buy a new GPU? GPU RAM, cores, tensor cores, caches? How to make a cost-efficient choice? This blog post will delve into these questions, tackle common misconceptions, give you an intuitive understanding

                                    The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
                                  • To be a better programmer, write little proofs in your head

                                    This is a brief write-up of a trick I learned that helps me write code faster and more accurately. I say "trick", but it's really something I started to do without noticing as I moved further into my career. When you're working on something difficult, sketch a proof in your head as you go that your code will actually do what you want it to do. A simple idea, but easier said than done: doing this "

                                    • Understanding Reasoning LLMs

                                      This article describes the four main approaches to building reasoning models, or how we can enhance LLMs with reasoning capabilities. I hope this provides valuable insights and helps you navigate the rapidly evolving literature and hype surrounding this topic. In 2024, the LLM field saw increasing specialization. Beyond pre-training and fine-tuning, we witnessed the rise of specialized application

                                        Understanding Reasoning LLMs
                                      • Database Fundamentals

                                        About a year ago, I tried thinking which database I should choose for my next project, and came to the realization that I don't really know the differences of databases enough. I went to different database websites and saw mostly marketing and words I don't understand. This is when I decided to read the excellent books Database Internals by Alex Petrov and Designing Data-Intensive Applications by

                                          Database Fundamentals
                                        • Mastering Customer Segmentation with LLM | Towards Data Science

                                          Unlock advanced customer segmentation techniques using LLMs, and improve your clustering models with advanced techniques Content Table · Intro · Data · Method 1: Kmeans · Method 2: K-Prototype · Method 3: LLM + Kmeans · Conclusion Intro A customer segmentation project can be approached in multiple ways. In this article I will teach you advanced techniques, not only to define the clusters, but to a

                                            Mastering Customer Segmentation with LLM | Towards Data Science
                                          • What's New in Emacs 28.1?

                                            Try Mastering Emacs for free! Are you struggling with the basics? Have you mastered movement and editing yet? When you have read Mastering Emacs you will understand Emacs. It’s that time again: there’s a new major version of Emacs and, with it, a treasure trove of new features and changes. Notable features include the formal inclusion of native compilation, a technique that will greatly speed up y

                                            • https://deeplearningtheory.com/PDLT.pdf

                                              The Principles of Deep Learning Theory An Effective Theory Approach to Understanding Neural Networks Daniel A. Roberts and Sho Yaida based on research in collaboration with Boris Hanin drob@mit.edu, shoyaida@fb.com ii Contents Preface vii 0 Initialization 1 0.1 An Effective Theory Approach . . . . . . . . . . . . . . . . . . . . . . . . 2 0.2 The Theoretical Minimum . . . . . . . . . . . . . . . .

                                              • Large Text Compression Benchmark

                                                 Large Text Compression Benchmark Matt Mahoney Last update: July 3, 2025. history This competition ranks lossless data compression programs by the compressed size (including the size of the decompression program) of the first 109 bytes of the XML text dump of the English version of Wikipedia on Mar. 3, 2006. About the test data. The goal of this benchmark is not to find the best overall compressi

                                                • The Premature Obituary of Programming – Communications of the ACM

                                                  Deep learning (DL) has arrived, not only for natural language, speech, and image processing but also for coding, which I refer to as deep programming (DP). DP is used to detect similar programs, find relevant code, translate programs from one language to another, discover software defects, and to synthesize programs from a natural language description. The advent of large transformer language mode

                                                  • Evolving the Go Standard Library with math/rand/v2 - The Go Programming Language

                                                    Since Go 1 was released in March 2012, changes to the standard library have been constrained by Go’s compatibility promise. Overall, compatibility has been a boon for Go users, providing a stable base for production systems, documentation, tutorials, books, and more. Over time, however, we’ve realized mistakes in the original APIs that cannot be fixed compatibly; in other cases, best practices and

                                                      Evolving the Go Standard Library with math/rand/v2 - The Go Programming Language
                                                    • 17 types of similarity and dissimilarity measures used in data science. | Towards Data Science

                                                      The following article explains various methods for computing distances and showing their instances in our daily lives. Additionally, it… Various ML metrics. Inspired by Maarten Grootendorst. "There is no Royal Road to Geometry." – Euclid Quick note: Everything written and visualized has been created by the author unless it was specified. Illustrations and equations were generated using tools like

                                                        17 types of similarity and dissimilarity measures used in data science. | Towards Data Science
                                                      • Musicmap | The Genealogy and History of Popular Music Genres

                                                        DOWNTEMPOINDUSTRIALRAPBLUESJAZZJAMAICANCOUNTRYPOPMETALINDUSTRIALRHYTHM ‘N’ BLUESBREAKBEATHARDCORE(TECHNO)DRUM ‘N’ BASSTRANCEHOUSETECHNOPUNK / WAVEGOSPELHARDCORE(PUNK)ROCK ‘N’ ROLLGOLDEN AGEALTERNATIVECONTEMPORARY(ELECTRONIC) DANCE (MUSIC) / EDMELECTRONIC MUSICBLUE NOTERHYTHM MUSICPOP & ROCK MUSICBREAKBEAT DANCEFOUR-TO-THE-FLOOR DANCEROCKHEAVY MUSICINDUSTRIALMETALROCK ‘N’ ROLLGOLDEN AGEWAVEPUNK/HAR

                                                          Musicmap | The Genealogy and History of Popular Music Genres
                                                        • What We Learned from a Year of Building with LLMs (Part II)

                                                          A possibly apocryphal quote attributed to many leaders reads: “Amateurs talk strategy and tactics. Professionals talk operations.” Where the tactical perspective sees a thicket of sui generis problems, the operational perspective sees a pattern of organizational dysfunction to repair. Where the strategic perspective sees an opportunity, the operational perspective sees a challenge worth rising to.

                                                            What We Learned from a Year of Building with LLMs (Part II)
                                                          • bladeRF-wiphy - Nuand

                                                            bladeRF-wiphy is an open-source IEEE 802.11 compatible software defined radio VHDL modem If you like the bladeRF-wiphy project, please consider starring it on Github! What is the bladeRF-wiphy project?The bladeRF-wiphy project is an open-source IEEE 802.11 compatible software defined radio VHDL modem. The modem is able to modulate and demodulate 802.11 packets (the protocol WiFi is based on), and

                                                              bladeRF-wiphy - Nuand
                                                            • Top 9 Git Secret Scanning Tools for DevSecOps - Spectral

                                                              Part of the Spectral API Security Series Collaboration is key. Not only in software development. But when it comes to collaboration on Git repositories, the word “key” takes on a whole new meaning. Whether it’s API Keys, passwords, or digital certificates; the secrets used to authenticate access must remain secure. The open nature and convenience of Git repositories are often encumbered by human-e

                                                                Top 9 Git Secret Scanning Tools for DevSecOps - Spectral
                                                              • Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers

                                                                Books perfect as reading or gifts during the end-of-year break for those working in tech. More than 100 book recommendations. I’ve always found books are an underrated way to learn something new. Great books contain years of hard-earned experiences compressed into what you can read in hours. However, you do need to give hours-long attention to them. This allows books to convey ideas that shorter-f

                                                                  Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers
                                                                • DeepSeek: The View from China

                                                                  Before December 2024, DeepSeek was rarely mentioned in China’s AI community. With the release of DeepSeek-V3 and the reasoning model R1, Chinese media and AI researchers started to ask the same question as their American counterparts: Who is DeepSeek and how should we feel about them? In this newsletter, we share a translation of insights from a January 26 closed-door session hosted by Shixiang 拾象

                                                                    DeepSeek: The View from China
                                                                  • Bullshit Jobs

                                                                    Notes: ISBN 978-1-5011-4331-1, ISBN 978-1-5011-4334-2 (ebook); Most names and many identifying characteristics have been changed.; Interior design by Carly Loman; Jacket design by David L Itman To anyone who would rather be doing something useful with themselves. Preface: On the Phenomenon of Bullshit Jobs In the spring of 2013, I unwittingly set off a very minor international sensation. It all be

                                                                      Bullshit Jobs
                                                                    • New LLM optimization technique slashes memory costs up to 75%

                                                                      Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications on top of large language models (LLMs) and

                                                                        New LLM optimization technique slashes memory costs up to 75%
                                                                      • 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
                                                                        • Future of SEO: 5 Key SEO Trends (2025 & 2026)

                                                                          Nearly every business that uses SEO as a marketing channel is adapting its strategies as AI changes the industry. The future of SEO prioritizes the user experience, meaning professionals in the industry must learn how to adapt quickly to stay ahead. With that, here is a look at what lies ahead and the most important SEO trends to watch over the next 12-24 months. 1. AI Overviews Will Dominate the

                                                                          • Why We Think

                                                                            Date: May 1, 2025 | Estimated Reading Time: 40 min | Author: Lilian Weng Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) and Chain-of-thought (CoT) (Wei et al. 2022, Nye et al. 2021), have led to significant improvements in model performance, while raising many research

                                                                            • Aman's AI Journal • Primers • Ilya Sutskever's Top 30

                                                                              Ilya Sutskever’s Top 30 Reading List The First Law of Complexodynamics The Unreasonable Effectiveness of Recurrent Neural Networks Understanding LSTM Networks Recurrent Neural Network Regularization Keeping Neural Networks Simple by Minimizing the Description Length of the Weights Pointer Networks ImageNet Classification with Deep Convolutional Neural Networks Order Matters: Sequence to Sequence f

                                                                              • A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

                                                                                111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen

                                                                                • The Little Book of Deep Learning

                                                                                  The Little Book of Deep Learning François Fleuret François Fleuret is a professor of computer sci- ence at the University of Geneva, Switzerland. The cover illustration is a schematic of the Neocognitron by Fukushima [1980], a key an- cestor of deep neural networks. This ebook is formatted to fit on a phone screen. Contents Contents 5 List of figures 7 Foreword 8 I Foundations 10 1 Machine Learnin