Contents Command Line Interface Guidelines An open-source guide to help you write better command-line programs, taking traditional UNIX principles and updating them for the modern day. Authors Aanand Prasad Engineer at Squarespace, co-creator of Docker Compose. @aanandprasad Ben Firshman Co-creator Replicate, co-creator of Docker Compose. @bfirsh Carl Tashian Offroad Engineer at Smallstep, first e
PDFファイルをマークダウンに変換する作業って、地味だけど本当に大切な作業ですよね。 「また手作業でコピペか...」 「レイアウトが崩れてる...」 「表がめちゃくちゃになってる...」 私もさまざまな文書管理の現場で同じような課題に直面してきました。特に、既存のPDF資料をObisidianやNotionなどのマークダウン形式で管理したい場面って、本当に多いですよね。 手作業でやると、一つの文書だけで数時間かかることもあります。表や画像の配置を調整して、リンクを張り直して、フォーマットを整えて...。骨が折れる作業です。 「もっと効率的な方法はないだろうか？」 そう思っていた矢先、いくつかの優秀な手法を発見しました。今回は、スキルレベル別に4つのアプローチをご紹介したいと思います。 【各レベルの概要】まず、それぞれのアプローチの特徴を簡単にご紹介しておきますね。 レベル1：GPT-5でシ
GraphQL is an incredible piece of technology that has captured a lot of mindshare since I first started slinging it in production in 2018. You won’t have to look far back on this (rather inactive) blog to see I have previously championed this technology. After building many a React SPA on top of a hodge podge of untyped JSON REST APIs, I found GraphQL a breath of fresh air. I was truly a GraphQL h
大実験！ChatGPTは競プロの問題を解けるのか (2024年5月版) - E869120's Blog
1. はじめに 2024 年 5 月 14 日、OpenAI 社から新たな生成 AI「GPT-4o」が発表され、世界に大きな衝撃を与えました。これまでの GPT-4 よりも性能を向上させただけでなく1、音声や画像のリアルタイム処理も実現し、さらに応答速度が大幅に速くなりました。「ついにシンギュラリティが来てしまったか」「まるで SF の世界を生きているような感覚だ」という感想も見受けられました。 しかし、いくら生成 AI とはいえ、競技プログラミングの問題を解くのは非常に難しいです。なぜなら競技プログラミングでは、問題文を理解する能力、プログラムを実装する能力だけでなく、より速く答えを求められる解法 (アルゴリズム) を考える能力も要求されるからです。もし ChatGPT が競技プログラミングを出来るようになれば他のあらゆるタスクをこなせるだろう、と考える人もいます。 それでは、現代最強の
Announcing New Tools for Building with Generative AI on AWS | Amazon Web Services
Artificial Intelligence Announcing New Tools for Building with Generative AI on AWS The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI appli
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
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
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
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems View the Project on GitHub View On GitHub An updated and organized reading list for illustrating the patterns of scalable, reliable, and performant large-scale systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems that serve millions to
A few months ago, I set myself the challenge of writing a C compiler in 500 lines of Python1, after writing my SDF donut post. How hard could it be? The answer was, pretty hard, even when dropping quite a few features. But it was also pretty interesting, and the result is surprisingly functional and not too hard to understand! There's too much code for me to comprehensively cover in a single blog
型安全かつシンプルなAgentフレームワーク「PydanticAI」の実装を解剖する - ABEJA Tech Blog
はじめに こちらはABEJAアドベントカレンダー2024 12日目の記事です。 こんにちは、ABEJAでデータサイエンティストをしている坂元です。最近はLLMでアプローチしようとしていたことがよくよく検証してみるとLLMでは難しいことが分かり急遽CVのあらゆるモデルとレガシーな画像処理をこれでもかというくらい詰め込んだパイプラインを実装することになった案件を経験して、LLMでは難しそうなことをLLM以外のアプローチでこなせるだけの引き出しとスキルはDSとしてやはり身に付けておくべきだなと思うなどしています（LLMにやらせようとしていることは大抵難しいことなので切り替えはそこそこ大変）。 とはいうものの、Agentの普及によってより複雑かつ高度な推論も出来るようになってきています。弊社の社内外のプロジェクト状況を見ていても最近では単純なRAG案件は減りつつあり、計画からアクションの実行、結果
This post is the first in a three-part series. The remaining two: How does Google Authenticator work? (Part 2) How does Google Authenticator work? (Part 3) When you’re accessing services over the WEB – let’s pick GMail as an example – a couple of things have to happen upfront: The server you’re connecting to (GMail in our example) has to get to know who you are. Only after getting to know who you
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
Programming is an iterative process - as much as we would like to come up with the perfect solution from the start, it rarely works that way. Good programs often start as quick prototypes. The bad ones stay prototypes, but the best ones evolve into production code. Whether you’re writing games, CLI tools, or designing library APIs, prototyping helps tremendously in finding the best approach before
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
I am a huge fan of Richard Feyman’s famous quote: “What I cannot create, I do not understand” I think it’s brilliant, and it remains true across many fields (if you’re willing to be a little creative with the definition of ‘create’). It is to this principle that I believe I owe everything I’m truly good at. Some will tell you to avoid reinventing the wheel, but they’re wrong: you should build your
TL;DR; We are changing std::sort in LLVM’s libcxx. That’s a long story of what it took us to get there and all possible consequences, bugs you might encounter with examples from open source. We provide some benchmarks, perspective, why we did this in the first place and what it cost us with exciting ideas from Hyrum’s Law to reinforcement learning. All changes went into open source and thus I can
31st December 2024 A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments. This is a sequel to my review of 2023. In this article: The GPT-4 barrier was comprehensively broken Some of those GPT-4 models run on my laptop LLM pri
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
Photo by Claudio Schwarz on Unsplash. How to create a Python package? In order to create a Python package, you need to write the code that implements the functionality you want to put in your package, and then you need to publish it to PyPI. That is the bare minimum. Nowadays, you can also set up a variety of other things to make your life easier down the road: continuous testing of your package;
The Legends of Runeterra CI/CD Pipeline Hi, I’m Guy Kisel, and I’m a software engineer on Legends of Runeterra’s Production Engineering: Shared Tools, Automation, and Build team (PE:STAB for short). My team is responsible for solving cross-team shared client technology issues and increasing development efficiency. We focus on the areas that empower other teams to do more and protect the team from
Why DRY is the most over-rated programming principle
I figured I'd kick off my new blog with the most click baity thing I could think of. I suspect any developer reading this is aware of the DRY principle because it is just so ubiquitous. If not though, you just need to know that it stands for "Don't Repeat Yourself" and is generally invoked when advising people to not copy and paste snippets of code all over the place and instead consolidate logic
Front-end maximalism
Here's a question that comes up all the time: Q: I have a front end that calls into a back end. It needs to do things now, and might need to do more things later. How much filtering and preprocessing should the back-end do before it passes the data to the front end? And here's an answer I like: A: As little as possible. Some examples: Suppose you have a product page with a long list of products. T
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
This article explores programming language preferences. You might prefer Earthly. It can streamline your build processes. Check it out. The Data The Stack Overflow Developer Survey1 results are a great source of information about how developers work. I was looking at the 2020 results for some ideas on what programming languages we should add to our documentation on containerized builds, and I noti
Weird Lexical Syntax
I just learned 42 programming languages this month to build a new syntax highlighter for llamafile. I feel like I'm up to my eyeballs in programming languages right now. Now that it's halloween, I thought I'd share some of the spookiest most surprising syntax I've seen. The languages I decided to support are Ada, Assembly, BASIC, C, C#, C++, COBOL, CSS, D, FORTH, FORTRAN, Go, Haskell, HTML, Java,
AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services | Amazon Web Services
AWS News Blog AWS Cloud Control API, a Uniform API to Access AWS & Third-Party Services Today, I am happy to announce the availability of AWS Cloud Control API a set of common application programming interfaces (APIs) that are designed to make it easy for developers to manage their AWS and third-party services. AWS delivers the broadest and deepest portfolio of cloud services. Builders leverage th
tldr: Rust/coreutils ( https://github.com/uutils/coreutils/ ) is now available in Debian, good enough to boot a Debian with GNOME, install the top 1000 packages, build Firefox, the Linux Kernel and LLVM/Clang. Even if I wrote more than 100 patches to achieve that, it will probably be a bumpy ride for many other use cases. It is also a terrific project to learn Rust. See the list of good first bugs
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
Firebase Studio lets you build full-stack AI apps with Gemini | Google Cloud Blog
Millions of developers use Firebase to engage their users, powering over 70 billion instances of apps every day, everywhere — from mobile devices and web browsers, to embedded platforms and agentic experiences. But full-stack development is evolving quickly, and the rise of generative AI has transformed not only how apps are built, but also what types of apps are possible. This drives greater comp
👋 This page was last updated ~3 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
Detailed here are some of the tools and techniques we use to test the GNU coreutils project, which should present some useful ways to automate the use of tools like gdb, strace, valgrind, sed, grep, or the coreutils themselves etc., either for testing or for other applications. We also describe general techniques like using timeouts in a robust and performant way. Test framework automake's test fr
Announcing Dapr v1.0
By Dapr project maintainers | Wednesday, February 17, 2021 Today we are excited to announce the v1.0 release of the Distributed Application Runtime (Dapr), which has achieved the stability and enterprise readiness to be designated production ready. Dapr is an open source, portable, event-driven runtime that makes it easy for developers to build resilient, microservice, stateless and stateful appli
From personal project to industry standard Introduction added in 2025 When introduced Oklab in 2020, I never expected it to reach as far as it has. In a few years Oklab has, among other things, found its way into: Photoshop – Now the default interpolation method for gradients Web browsers – Part of CSS Color Level 4 and 5, supported by major browsers Game engines – Used in Unity’s gradients and Go
Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview) | Amazon Web Services
AWS News Blog Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview) March 31, 2023 – Amazon VPC Lattice is now generally available with new capabilities. Modern applications are built using modular and distributed components. Each component is a service that implements its own subset of functionalities. To make these services communicate with each other, you
Hacking Bluetooth to Brew Coffee from GitHub Actions: Part 1 - Bluetooth Investigation permalink This is going to be a long journey in three parts that covers the odyssey of getting a new coffeemaker, learning BTLE and how it works, reverse-engineering the Bluetooth interface and Android applications for the coffeemaker, writing a Rust-based CLI interface, and finally, hooking it all up to a GitHu
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
The Go Programming Language and Environment – Communications of the ACM
Go is a programming language created at Google in late 2007 and released as open source in November 2009. Since then, it has operated as a public project, with contributions from thousands of individuals and dozens of companies. Go has become a popular language for building cloud infrastructure: Docker, a Linux container manager, and Kubernetes, a container deployment system, are core cloud techno
[Tutorial] "Fine Tuning" Stable Diffusion using only 5 Images Using Textual Inversion. Credits: textual_inversion website. Hello everyone! I see img2img getting a lot of attention, and deservedly so, but textual_inversion is an amazing way to better get what you want represented in your prompts. Whether it's an artistic style, some scenery, a fighting pose, representing a character/person, or redu
The Architecture of a Modern Startup | by Dmitry Kruglov | Nov, 2022 | Better Programming
workflow — all images by authorThe Tech side of startups can sometimes be very fluid and contain a lot of unknowns. What tech stack to use? Which components might be overkill for now but worth keeping an eye on in the future? How to balance the pace of business features development while keeping the quality bar high enough to have a maintainable codebase? Here I want to share our experience buildi
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Command Line Interface Guidelines
PDFを高品質なマークダウンに変換する方法｜すぅ | AI駆動PM
Why, after 6 years, I’m over GraphQL
What it was like working for GitLab
The Prompt Engineering Playbook for Programmers
Writing a C compiler in 500 lines of Python
How does Google Authenticator work? (Part 1)
Prototyping in Rust | corrode Rust Consulting
100+ Best GitHub Repositories For Machine Learning
Writing Toy Software Is A Joy
Changing std::sort at Google’s Scale and Beyond
Things we learned about LLMs in 2024
Optimizing your LLM in production
How to create a Python package in 2022
The Legends of Runeterra CI/CD Pipeline
Green Vs. Brown Programming Languages
Debian running on Rust coreutils
Kalyn: a self-hosting compiler for x86-64
Lies we tell ourselves to keep using Golang
How the GNU coreutils are tested
A perceptual color space for image processing
Hacking Bluetooth to Brew Coffee from GitHub Actions: Part 1 - Bluetooth Investigation
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