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  • The Best Programmers I Know | Matthias Endler

    I have met a lot of developers in my life. Lately, I asked myself: “What does it take to be one of the best? What do they all have in common?” In the hope that this will be an inspiration to someone out there, I wrote down the traits I observed in the most exceptional people in our craft. I wish I had that list when I was starting out. Had I followed this path, it would have saved me a lot of time

      The Best Programmers I Know | Matthias Endler
    • The End of Programming as We Know It

      There’s a lot of chatter in the media that software developers will soon lose their jobs to AI. I don’t buy it. It is not the end of programming. It is the end of programming as we know it today. That is not new. The first programmers connected physical circuits to perform each calculation. They were succeeded by programmers writing machine instructions as binary code to be input one bit at a time

        The End of Programming as We Know It
      • REST API Design Best Practices Handbook – How to Build a REST API with JavaScript, Node.js, and Express.js

        By Jean-Marc Möckel I've created and consumed many API's over the past few years. During that time, I've come across good and bad practices and have experienced nasty situations when consuming and building API's. But there also have been great moments. There are helpful articles online which present many best practices, but many of them lack some practicality in my opinion. Knowing the theory with

          REST API Design Best Practices Handbook – How to Build a REST API with JavaScript, Node.js, and Express.js
        • What it was like working for GitLab

          I joined GitLab in October 2015, and left in December 2021 after working there for a little more than six years. While I previously wrote about leaving GitLab to work on Inko, I never discussed what it was like working for GitLab between 2015 and 2021. There are two reasons for this: I was suffering from burnout, and didn't have the energy to revisit the last six years of my life (at that time)I w

          • 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
            • WebVM: server-less x86 virtual machines in the browser

              TL;DR — We made a server-less virtual Linux environment that runs unmodified Debian binaries in the browser. This is powered by CheerpX, a WebAssembly virtualization platform. Feel free to play with it and report bugs: https://webvm.io WebVM — a server-less virtual Linux environment running fully client-side in HTML5/WebAssembly. The web platform is well on its way to becoming the dominant platfor

                WebVM: server-less x86 virtual machines in the browser
              • LogLog Games

                The article is also available in Chinese. Disclaimer: This post is a very long collection of thoughts and problems I've had over the years, and also addresses some of the arguments I've been repeatedly told. This post expresses my opinion the has been formed over using Rust for gamedev for many thousands of hours over many years, and multiple finished games. This isn't meant to brag or indicate su

                • 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
                  • Lessons from Writing a Compiler

                    The prototypical compilers textbook is: 600 pages on parsing theory. Three pages of type-checking a first-order type system like C. Zero pages on storing and checking the correctness of declarations (the “symbol table”). Zero pages on the compilation model, and efficiently implementing separate compilation. 450 pages on optimization and code generation. The standard academic literature is most use

                    • Claude Mythos Preview \ red.anthropic.com

                      Assessing Claude Mythos Preview’s cybersecurity capabilities April 7, 2026 Nicholas Carlini, Newton Cheng, Keane Lucas, Michael Moore, Milad Nasr, Vinay Prabhushankar, Winnie Xiao Hakeem Angulu, Evyatar Ben Asher, Jackie Bow, Keir Bradwell, Ben Buchanan, David Forsythe, Daniel Freeman, Alex Gaynor, Xinyang Ge, Logan Graham, Kyla Guru, Hasnain Lakhani, Matt McNiece, Mojtaba Mehrara, Renee Nichol, A

                      • 缶つぶし機とソフトウェア移行技術 - Refactoring to Rust の読書感想文 - じゃあ、おうちで学べる

                        はじめに ——あるいは、「知っている」と「理解している」の間 Rustのことは、知っていた。学習もしていた。実務でも使っていた。 でも、それは知っているつもりだった。 知ってるつもり 無知の科学 (ハヤカワ文庫NF) 作者:スティーブン スローマン,フィリップ ファーンバック早川書房Amazon 日々Rustで開発し、BoxとRcとArcを使い分け、tokio::spawnでタスクを生成し、?演算子を当たり前のように書いている。FFI?PyO3使えばいいでしょ。WebAssembly?wasm-bindgenがあるじゃない。技術的には、確かに「使える」レベルにはあった。 でも、心のどこかで感じていた違和感があった。 オートバイのエンジンを分解できる人と、エンジンが動く原理を理解している人は違う。コードが動くことと、なぜそう書くべきかを理解することも違う。私は前者だった。メカニックではあった

                          缶つぶし機とソフトウェア移行技術 - Refactoring to Rust の読書感想文 - じゃあ、おうちで学べる
                        • 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
                          • 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)
                            • Interview With Mitchell Hashimoto

                              Mitchell Hashimoto was behind Vagrant, Packer, Consul, Terraform, Vault, Nomad, Waypoint and now builds Ghostty and Vouch. In this interview, we talk about terminals, Zig and open source. You’ve been interviewed a lot. Why do people like to interview you? In interviews, everyone comes from a different angle. Many people want to know how the software engineering to business founder mindset transiti

                              • 2025: The year in LLMs

                                Sponsored by: Greptile — AI code reviewers catch bugs at run time and manage your code. Trusted by Nvidia, Netflix, and many more 31st December 2025 This is the third in my annual series reviewing everything that happened in the LLM space over the past 12 months. For previous years see Stuff we figured out about AI in 2023 and Things we learned about LLMs in 2024. It’s been a year filled with a lo

                                  2025: The year in LLMs
                                • 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
                                  • Hyperlight Wasm: Fast, secure, and OS-free | Microsoft Open Source Blog

                                    Last fall the Azure Core Upstream team introduced Hyperlight: an open-source Rust library you can use to execute small, embedded functions using hypervisor-based protection. Then, we showed how to run Rust functions really, really fast, followed by using C to run Javascript. In February 2025, the Cloud Native Computing Foundation (CNCF) voted to onboard Hyperlight into their Sandbox program. We’re

                                      Hyperlight Wasm: Fast, secure, and OS-free | Microsoft Open Source Blog
                                    • Patterns and problems in multiagent systems

                                      Models are improving and AI agents are taking on more tasks in shared codebases, markets, and other social systems. As a result, an increase in real-world interactions between agents is imminent. We've already begun studying this, but still have a lot of uncertainty regarding what this looks like at scale. The trajectory is easy to imagine and hard to slow: current institutions are designed by and

                                        Patterns and problems in multiagent systems
                                      • 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)
                                        • CUPID: for joyful coding

                                          What started as lighthearted iconoclasm, poking at the bear of SOLID, has developed into something more concrete and tangible. If I do not think the SOLID principles are useful these days, then what would I replace them with? Can any set of principles hold for all software? What do we even mean by principles? I believe that there are properties or characteristics of software that make it a joy to

                                          • 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

                                              • Modular: Mojo🔥 - It’s finally here!

                                                In this blog post, we’ll take a high-level tour of what’s inside the Mojo SDK. First, let’s quickly review what Mojo is and how it can benefit you. Mojo: a high performance 'Python++' language for computeMojo is a new programming language for AI developers that will grow into being a superset of Python over time. It already supports integrating with arbitrary Python code seamlessly and has a scala

                                                  Modular: Mojo🔥 - It’s finally here!
                                                • Agentultra - Using Haskell in Production

                                                  Posted on September 8, 2025 I get asked on my stream and at talks I give, “What is it like to work in Haskell in production, full-time?” From November of 2020 until August 2025, I was employed at Mercury where I wrote code in Haskell. During that time I also started up a live video stream where I’ve built several libraries, games, and applications in Haskell for an audience. This post is a summary

                                                  • 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

                                                    • April 2022 (version 1.67)

                                                      Update 1.67.1: The update addresses this security issue. Update 1.67.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2022 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Explorer file nesting - Nest generated f

                                                        April 2022 (version 1.67)
                                                      • Improving the Developer Experience with the Ruby LSP - Shopify

                                                        Improving the Developer Experience with the Ruby LSPThe Ruby LSP is a new language server built at Shopify that makes coding in Ruby even better by providing extra Ruby features for any editor that has a client layer for the LSP. In this article, we’ll cover how we built the Ruby LSP, the features included within it, and how you can install it. Ruby has an explicit goal to make developers happy. H

                                                          Improving the Developer Experience with the Ruby LSP - Shopify
                                                        • 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

                                                          • The path to implementing a programming language

                                                            This blog tries to summarize all the choices and paths you could take to implement your next programming language, more specifically the frontend for your language. There are a lot of factors that will influence your choices. Maybe you have your favorite host language that you would like to use for implementing your language, whether your language is dynamically or statically typed, or you are des

                                                            • Building a Toy Programming Language in Python

                                                              I thought it would be fun to go outside of my comfort zone of web development topics and write about something completely different and new, something I have never written about before. So today, I'm going to show you how to implement a programming language! The project will parse and execute programs written in a simple language I called my (I know it's a lame name, but hey, it is "my" language).

                                                                Building a Toy Programming Language in Python
                                                              • 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

                                                                • Shopify Invests in Research for Ruby at Scale - Shopify

                                                                  Shopify Invests in Research for Ruby at ScaleShopify is investing on Ruby on Rails at scale by funding high-profile academics to focus their work towards Ruby and the needs of the Ruby community. Shopify is continuing to invest on Ruby on Rails at scale. We’ve taken that further recently by funding high-profile academics to focus their work towards Ruby and the needs of the Ruby community. Over th

                                                                    Shopify Invests in Research for Ruby at Scale - Shopify
                                                                  • 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

                                                                    • Announcing Amazon Aurora PostgreSQL serverless database creation in seconds | Amazon Web Services

                                                                      AWS News Blog Announcing Amazon Aurora PostgreSQL serverless database creation in seconds At re:Invent 2025, Colin Lazier, vice president of databases at AWS, emphasized the importance of building at the speed of an idea—enabling rapid progress from concept to running application. Customers can already create production-ready Amazon DynamoDB tables and Amazon Aurora DSQL databases in seconds. He p

                                                                        Announcing Amazon Aurora PostgreSQL serverless database creation in seconds | Amazon Web Services
                                                                      • Codestral | 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 applications for software developers. A model fluent in 80+ programming langua

                                                                          Codestral | Mistral AI
                                                                        • 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
                                                                          • Zig, Rust, and other languages | notes.eatonphil.com

                                                                            Having worked a bit in Zig, Rust, Go and now C, I think there are a few common topics worth having a fresh conversation on: automatic memory management, the standard library, and explicit allocation. Zig is not a mature language. But it has made enough useful choices for a number of companies to invest in it and run it in production. The useful choices make Zig worth talking about. Go and Rust are

                                                                            • Automating dead code cleanup

                                                                              Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing dead code. SCARF combines static and dynamic analysis of programs to detect dead code from both a business and programming language perspective. SCARF automatically creates change requests that delete the dead code identified from the program analysis, minimizing developer costs. In our last blo

                                                                                Automating dead code cleanup
                                                                              • The Absolute Minimum Every Software Developer Must Know About Unicode in 2023 (Still No Excuses!) @ tonsky.me

                                                                                If you combine this with the Unicode table, you’ll see that English is encoded with 1 byte, Cyrillic, Latin European languages, Hebrew and Arabic need 2, and Chinese, Japanese, Korean, other Asian languages, and Emoji need 3 or 4. A few important points here: First, UTF-8 is byte-compatible with ASCII. The code points 0..127, the former ASCII, are encoded with one byte, and it’s the same exact byt

                                                                                  The Absolute Minimum Every Software Developer Must Know About Unicode in 2023 (Still No Excuses!) @ tonsky.me
                                                                                • Lies we tell ourselves to keep using Golang

                                                                                  👋 This page was last updated ~4 years ago. Just so you know. In the two years since I’ve posted I want off Mr Golang’s Wild Ride, it’s made the rounds time and time again, on Reddit, on Lobste.rs, on HackerNews, and elsewhere. And every time, it elicits the same responses: You talk about Windows: that’s not what Go is good at! (Also, who cares?) This is very one-sided: you’re not talking about th

                                                                                    Lies we tell ourselves to keep using Golang