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
OpenAI API ドキュメントの日本語訳をこちらでまとめます。文字量の多いドキュメントなので、セクションごとに記事を分割しています。 今回は「GET STARTED 」のセクションからLibraries 、Models、TutorialsそしてUsage policiesを抜粋した後編です。 基本 DeepLで翻訳して、気になるところだけ書き換えています(ほぼ気になるところがないのが、DeepLのすごいところ)。原文との突き合わせができるようにはじめに原文を入れてますので、間違いなど見つけられましたら、ぜひご指摘ください。ご指摘箇所は随時反映させていただきます。 原文のリンクが有効になってますので、それぞれ必要な場合は原文リンクの方を参照ください。 前回のおさらいはこちら Python library｜Python ライブラリWe provide a Python library, w
何年後かの自分へ こんにちは、のんピ(@non____97)です。 業務で使用する新しいMacが届きました。 新しいMacを初期セットアップするにあたって「今の設定どうだったっけ...」と調べる時間が結構かかってしまいました ということで何年後かの自分がまた新しいMacに乗り換える際に手間取らないように、設定した内容を書き記しておきます。 移行先のMacの情報は以下の通りです。M1 Max、嬉しい。 # OSのバージョンの確認 > sw_vers ProductName: macOS ProductVersion: 12.4 BuildVersion: 21F79 # カーネルのバージョン確認 > uname -r 21.5.0 # CPUのアーキテクチャの確認 > uname -m arm64 # CPUの詳細確認 > sysctl -a machdep.cpu machdep.cpu.
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
Fish 4.0: The Fish Of Theseus
About two years ago, our head maintainer @ridiculousfish opened what quickly became our most-read pull request: #9512 - Rewrite it in Rust Truth be told, we did not quite expect that to be as popular as it was. It was written as a bit of an in-joke for the fish developers first, and not really as a press release to be shared far and wide. We didn’t post it anywhere, but other people did, and we go
yt-dlp オプション一覧及びそのメモ - †MASAYOSHI†のオンラインメモ帳
youtube-dlの開発が止まっておりfork版のyt-dlpに移る事にした。yt-dlpはyoutube-dlのforkであるyoutube-dlcのそのまたforkになる。オリジナルであるyoutube-dlのオプション解説はyoutube-dl オプション一覧及びそのメモ。 2022/06/19更新 2022/09/06更新 OPTIONS -h, --helpヘルプを表示する。 --versionプログラムのVerを表示する。 -U, --update --no-update (default)プログラムのupdateを実行するかどうか。 -i, --ignore-errorsダウンロードエラーを無視する。プレイリストごとダウンロードするような時に使う。エラーで失敗してもダウンロードは成功したとみなされる。 --no-abort-on-error (default) --abor
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
Today, we are excited to announce the launch of .NET 10, the most productive, modern, secure, intelligent, and performant release of .NET yet. It’s the result of another year of effort from thousands of developers around the world. This release includes thousands of performance, security, and functional improvements across the entire .NET stack-from languages and developer tools to workloads-enabl
OpenAI o1 の APIの使い方｜npaka
1. OpenAI o1「OpenAI o1」シリーズは、複雑な推論を行うために強化学習を用いて学習された新しい大規模言語モデルです。回答する前に考える特性があり、ユーザーに応答する前に長い内部思考の過程を生み出すことができます。これにより、科学的な推論に優れ、競技プログラミングの問題 (Codeforces) では89パーセンタイルにランクインし、米国数学オリンピック (AIME) の予選で全米の上位500人の学生に入る成績を収めています。また、物理学、生物学、化学の問題に関するベンチマーク (GPQA) では、人間の博士レベルの精度を上回る成績を達成しています。 APIでは、次の2つのモデルが提供されています。 ・o1-preview : o1モデルの早期プレビューモデル。世界に関する幅広い一般知識を使用して難しい問題を推論できるように設計されている。 ・o1-mini : より高速で
Context is all you need: Better AI results with custom instructions
Context is all you need: Better AI results with custom instructions March 26, 2025 by Rob Conery, @robconery.com, Burke Holland, @burkeholland Earlier this month, we announced the general availability of custom instructions in Visual Studio Code. Custom instructions are how you give Copilot specific context about your team's workflow, your particular style preferences, libraries the model may not
","eos_token":"<|return|>","pad_token":"<|endoftext|>"},"chat_template_jinja":"{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"browser\" and/or \"python\".\n - \"model_identity\": A string that optionally describes the model identity.\n - \"reasoning_effort\": A string that describes t
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
Internet Engineering Task Force (IETF) K. Davis Request for Comments: 9562 Cisco Systems Obsoletes: 4122 B. Peabody Category: Standards Track Uncloud ISSN: 2070-1721 P. Leach University of Washington May 2024 Universally Unique IDentifiers (UUIDs) Abstract This specification defines UUIDs (Universally Unique IDentifiers) -- also known as GUIDs (Globally Unique IDentifiers) -- and a Uniform Resou
Vjeux » Birth of Prettier
React Conf is around the corner and it's been almost 10 years since Prettier was released. I figured it would be a good time to recount the journey from its early days to now. This is the story of how the "Space vs Tabs Holy War" ended, not through one side winning over the other but instead a technological invention making it the underlying source of tensions no longer being a thing. Back Story S
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
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
Parsing SQL - Strumenta
The code for this tutorial is on GitHub: parsing-sql SQL is a language to handle data in a relational database. If you worked with data you have probably worked with SQL. In this article we will talk about parsing SQL. It is in the same league of HTML: maybe you never learned it formally but you kind of know how to use it. That is great because if you know SQL, you know how to handle data. However
The unreasonable effectiveness of f-strings and re.VERBOSE
... in which we look at one or two ways to make life easier when working with Python regular expressions. tl;dr: You can compose verbose regular expressions using f-strings. Here's a real-world example – instead of this: 1pattern = r"((?:\(\s*)?[A-Z]*H\d+[a-z]*(?:\s*\+\s*[A-Z]*H\d+[a-z]*)*(?:\s*[\):+])?)(.*?)(?=(?:\(\s*)?[A-Z]*H\d+[a-z]*(?:\s*\+\s*[A-Z]*H\d+[a-z]*)*(?:\s*[\):+])?(?![^\w\s])|$)"
The Ultimate Interactive JQ Guide Learn how to search, query, and modify JSON data with 25 interactive jq examples and explanations Cover Photo by Pixabay Has this ever happened to you? You’ve just received a massive JSON file that looks like it was designed to confuse you. Or maybe you entered a command, and you got so much JSON that it looks incomprehensible. Important: Level up your jq skills w
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
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
2025-05-06, Version 24.0.0 (Current), @RafaelGSS and @juanarbol We’re excited to announce the release of Node.js 24! This release brings several significant updates, including the upgrade of the V8 JavaScript engine to version 13.6 and npm to version 11. Starting with Node.js 24, support for MSVC has been removed, and ClangCL is now required to compile Node.js on Windows. The AsyncLocalStorage API
Delimiter-first code
Summary I argue for wider usage of delimiter-first in the code three friends [tic, tac, toe] becomes three friends ・tic ・tac ・toe. A new top-level syntax for programming languages is proposed to show advantages of this method. New syntax is arguably as simple, but more consistent, better preserves visual structure and solves some issues in code formatting. Related: comma-first formatting A well-kn
htmy
Source code: https://github.com/volfpeter/htmy Documentation and examples: https://volfpeter.github.io/htmy htmy Async, pure-Python server-side rendering engine. Unleash your creativity with the full power and Python, without the hassle of learning a new templating language or dealing with its limitations! Key features Async-first, to let you make the best use of modern async tools. Powerful, Reac
Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
Update 1.82.1: The update addresses this security issue. Update 1.82.2: The update addresses these issues. Update 1.82.3: The update addresses this security issue. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the August 2023 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key hi
Update 1.78.1: The update addresses this security issue. Update 1.78.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the April 2023 release of Visual Studio Code. There are many updates in this version that we hope you'll like, some of the key highlights include: Accessibility improvements - Better scre
It is December. That means annoying Christmas things are everywhere, including but not limited to the annual programming semi-competition known as Advent of Code. The problem with Advent of Code is that it is a waste of time. Most of the puzzles are in the realm of either string processing (somewhat applicable to programming), logic puzzles (not really applicable to most programming), or stupid go
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
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
Tips on Adding JSON Output to Your CLI App - Brazil's Blog
Brazil's Blog Musings on automation, scripting, programing, DevOps, and cybersecurity A couple of years ago I wrote a somewhat controversial article on the topic of Bringing the Unix Philosophy to the 21st Century by adding a JSON output option to CLI tools. This allows easier parsing in scripts by using JSON parsing tools like jq, jello, jp, etc. without arcane awk, sed, cut, tr, reverse, etc. in
agent loop �� �p�� You are Manus, an AI agent created by the Manus team. You excel at the following tasks: 1. Information gathering, fact-checking, and documentation 2. Data processing, analysis, and visualization 3. Writing multi-chapter articles and in-depth research reports 4. Creating websites, applications, and tools 5. Using programming to solve various problems beyond development 6. Variou
11th March 2025 Online discussions about using Large Language Models to help write code inevitably produce comments from developers who’s experiences have been disappointing. They often ask what they’re doing wrong—how come some people are reporting such great results when their own experiments have proved lacking? Using LLMs to write code is difficult and unintuitive. It takes significant effort
Tier 4 Support § Support for these targets is entirely experimental. If this target is provided by LLVM, LLVM may have the target as an experimental target, which means that you need to use Zig-provided binaries for the target to be available, or build LLVM from source with special configure flags. zig targets will display the target if it is available. This target may be considered deprecated by
","eos_token":"<|return|>","pad_token":"<|endoftext|>"},"chat_template_jinja":"{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"browser\" and/or \"python\".\n - \"model_identity\": A string that optionally describes the model identity.\n - \"reasoning_effort\": A string that describes t
chatGPT-4に「ウェブスクレイピング→情報をPDF保存の自動化ツール開発」で作ってと頼んだら・・・コード１行も書かずに出来た😅｜hantani
chatGPT-4に「ウェブスクレイピング→情報をPDF保存の自動化ツール開発」で作ってと頼んだら・・・コード１行も書かずに出来た😅 ある所で、「ウェブスクレイピング→情報をPDF保存の自動化ツール開発」は案件定義で３日かかりますよと書いてありました。 chatGPT-4使ったらどうなるんだろうと思ってやってみました。 結論をいうと「余裕で案件定義もプログラムもコードを一行も書かずに出来ました」 以下、「Q.」が質問（プロンプト）です。「A.」がchatGPT-4からの回答です。 プロンプタ(魔術師)とchatGPTとのリアルなやり取りです。長いですよ😅 Q.あなたはプログラマです。ウェブスクレイピング→情報をPDF保存の自動化ツール開発はどのような案件がひつようでしょうか？ A.ウェブスクレイピングと情報をPDF保存の自動化ツールを開発するには、以下の要件が必要です。 プロジェクトの
25th May 2025 Anthropic publish most of the system prompts for their chat models as part of their release notes. They recently shared the new prompts for both Claude Opus 4 and Claude Sonnet 4. I enjoyed digging through the prompts, since they act as a sort of unofficial manual for how best to use these tools. Here are my highlights, including a dive into the leaked tool prompts that Anthropic did
In my decade-plus of maintaining my dotfiles, I’ve written a lot of little shell scripts. Here’s a big list of my personal favorites. Clipboard copy and pasta are simple wrappers around system clipboard managers, like pbcopy on macOS and xclip on Linux. I use these all the time. # High level examples run_some_command | copy pasta > file_from_my_clipboard.txt # Copy a file's contents copy < file.tx
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Command Line Interface Guidelines
OpenAI API ドキュメント 日本語訳｜#2 GET STARTED 後編｜ゑぐみかるちゃあ
ぼくのMac環境 ver.のんピ | DevelopersIO
Announcing .NET 10 - .NET Blog
openai/gpt-oss-120b · Hugging Face
June 2022 (version 1.69)
RFC 9562: Universally Unique IDentifiers (UUIDs)
The Ultimate Interactive JQ Guide
July 2022 (version 1.70)
Node.js — Node.js v24.0.0 (Current)
0.8.0 Release Notes ⚡ The Zig Programming Language
August 2023 (version 1.82)
April 2023 (version 1.78)
Advent of Code on the Nintendo DS
LLM Powered Autonomous Agents
Manus tools and prompts
Here’s how I use LLMs to help me write code
0.10.0 Release Notes ⚡ The Zig Programming Language
openai/gpt-oss-20b · Hugging Face
Highlights from the Claude 4 system prompt
Scripts I wrote that I use all the time