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
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. 2slides - An MCP server that provides tools to convert content into slides/PPT/presentation or generate slides/PPT/presentation with user intention. ActionKit by Paragon - Connect to 130+ SaaS inte
巨人の肩に乗る
本記事は 仮想通貨 Advent Calendar 2025 の24日目の記事です。 はじめに はじめまして、ymdと申します。普段は、株や暗号資産の分析をし、マーケットが盛り上がったときに落ちているお金を拾っています。 今年のAdvent Calendarを眺めていると、DEXの分析やLLMを活用した自動トレード戦略作成など、非常に有益な記事が目白押しです。 これらを見て思い出したのが、ニュートンの「巨人の肩に乗る」という言葉。本記事では、この精神に倣い、AIの力と先人の知見という2つの「肩」を借りながら、お金拾いの方法を探っていきます。 AIの肩に乗る AI駆動開発の3つのアプローチ AIを活用した開発には、大きく3つの方向性があります： 情報収集の自動化：論文や API ドキュメントの要約 戦略生成の自動化：複数のアプローチを並行生成 コーディングの自動化：コードそのものを AI に
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
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
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
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
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
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.”
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
Why People are Angry over Go 1.23 Iterators - gingerBill
NOTE: This is based on, but completely rewritten, from a Twitter post: https://x.com/TheGingerBill/status/1802645945642799423 TL;DR It makes Go feel too “functional” rather than being an unabashed imperative language. I recently saw a post on Twitter showing the upcoming Go iterator design for Go 1.23 (August 2024). From what I can gather, many people seem to dislike the design. I wanted to give m
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 1.60.1: The update addresses these issues. Update 1.60.2: The update addresses these issues. Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the August 2021 release of Visual Studio Code. There are many updates in this version that we hope you will like, some of the key highlights include: Automatic language detection - Programming l
o1 pro + AIエンジニアにチャットで指示しながら、研究的なことをさせてみる ｜Kan Hatakeyama
はじめに自律的にプログラミングをしてくれるAIエンジニアをいい感じに動かせるようになってきたので、今日はChatGPT + devinで研究的なことをさせてみます。 自動研究といえば、昨年の夏に話題になった、Sakana AIのAIサイエンティストが有名です。 ただ、研究のネタを考えるのはまだあまり得意でない気がしたので、今回は適宜、そこはスマホで指示を出しながら、human in the loopで進めていきます。 最初のセットアップを除いて、チャットをするだけで、基本的な研究作業をこなせそう感じでした。 下準備: リポジトリを作ってdevinに登録するはじめに、パソコンを使って設定をします。このセクションの作業以降は、スマホがあればOKです。 githubでレポジトリを作り、一つだけ、開発方針に関するファイルを作っておきます。 DevelopmentPolycy.md 開発､コメントな
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
After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines the common components of a generative AI platform, what they do, and how they are implemented. I try my best to keep the architecture general, but certain applications might deviate. This is what the overall architecture looks like. This is a pretty complex system. Thi
Screencast If you click on this screenshot, you'll see OSH running ./configure from CPython's tarball, with GC debug output. This is: 16K lines of gnarly shell generated by GNU autoconf Running in our shell interpreter, written in ~40K lines of typed Python. But, it's translated to ~80K lines of pure C++! That generated C++ runs on top of a ~4K line runtime of garbage collected data structures, an
tl;dr: If in doubt, prefer to use zswap. Only use zram if you have a highly specific reason to. In terms of architecture: zswap sits in front of your disk swap, compresses pages in RAM, and automatically tiers cold data to disk. It integrates directly with the kernel's memory management and distributes pressure gracefully. zram is a compressed RAM block device with a hard capacity limit. When you
Paul: Today’s spotlight: Paolo Perrone, master of turning tech into scroll-stopping content. This one’s packed, let’s go 👀 ↓ I’m going to be honest with you. Most AI agent tutorials are garbage. They show you how to copy-paste LangChain code, build a demo that breaks the moment you try anything real, and leave you feeling like you learned something. Three months later, you try to build something
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The Prompt Engineering Playbook for Programmers
Announcing .NET 10 - .NET Blog
Changing std::sort at Google’s Scale and Beyond
RFC 9562: Universally Unique IDentifiers (UUIDs)
June 2022 (version 1.69)
Patterns for Building LLM-based Systems & Products
July 2022 (version 1.70)
0.10.0 Release Notes ⚡ The Zig Programming Language
August 2021 (version 1.60)
The AI-Native Software Engineer
Building A Generative AI Platform
Pictures of a Working Garbage Collector
Debunking zswap and zram myths
The Realistic Guide to Mastering AI Agents in 2026