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  • Web Interface Guidelines

    Interfaces succeed because of hundreds of choices. This is a living, non-exhaustive list of those decisions. Most guidelines are framework-agnostic, some specific to React/Next.js. Feedback is welcome. Interactions Keyboard works everywhere. All flows are keyboard-operable & follow the WAI-ARIA Authoring Patterns. Clear focus. Every focusable element shows a visible focus ring. Prefer :focus-visib

      Web Interface Guidelines
    • Fintech Engineering Handbook

      Fintech Engineering Handbook Patterns for building software that handles money Welcome to the Fintech Engineering Handbook. This resource aims to describe the most important patterns used in software engineering, where money is the primary focus of the system. It can be read in full to get a comprehensive understanding or in parts when dealing with a particular problem. For whom? People joining fi

      • Recommended alarms - Amazon CloudWatch

        The following sections list the metrics that we recommend that you set best practice alarms for. For each metric, the dimensions, alarm intent, recommended threshold, threshold justification, and the period length and number of datapoints is also displayed. Some metrics might appear twice in the list. This happens when different alarms are recommended for different combinations of dimensions of th

        • Amazon が取り組む、Amazon DynamoDB を活用した大規模集計の精度維持 | Amazon Web Services

          Amazon Web Services ブログ Amazon が取り組む、Amazon DynamoDB を活用した大規模集計の精度維持 本記事は 2025 年 5 月 19 日に公開された How Amazon maintains accurate totals at scale with Amazon DynamoDB を翻訳したものです。翻訳は Solutions Architect の嶋田 朱里が担当しました。 Amazon の Finance Technologies Tax チーム (FinTech Tax) は、世界中の法域で税額計算、税額控除、納付、報告といった重要なサービスを管理しています。このアプリケーションは、複数の国際マーケットプレイスで年間数十億件の取引を処理しています。 この投稿では FinTech Tax チームが Amazon DynamoDB のトランザク

          • 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 April 22, 2026. We first published this list two years ago at Next ‘24, as the agentic era was just dawning. Watching this list grow — propelled by our customer’s enthusiastic commitment to AI — proves we are now fir

              Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog
            • MAI-Thinking-1: Building a Hill-Climbing Machine

              MAI-Thinking-1: Building a Hill-Climbing Machine The Microsoft AI Team 1 Abstract Progress in AI is driven not by a single model, but by the ability to continually improve upon the current state of models. Achieving this requires treating model development as a system-level optimization problem, for which the solution is building a hill-climbing machine for rapid improvement. Our process includes

              • How to turn Claude Code into a domain specific coding agent

                Authored by: Aliyan Ishfaq Coding agents are great at writing code that uses popular libraries on which LLMs have been heavily trained on. But point them to a custom library, a new version of a library, an internal API, or a niche framework – and they’re not so great. That’s a problem for teams working with domain specific libraries or enterprise code. As developers of libraries (LangGraph, LangCh

                  How to turn Claude Code into a domain specific coding agent
                • Node.js — Node.js 19.1.0 (Current)

                  const watcher = fs.watch(testDirectory, { recursive: true }); watcher.on('change', function (event, filename) {}); Contributed by Yagiz Nizipli in #45098 Other notable changes deps update ICU to 72.1 (Michaël Zasso) #45068 doc add lukekarrys to collaborators (Luke Karrys) #45180 add anonrig to collaborators (Yagiz Nizipli) #45002 lib drop fetch experimental warning (Matteo Collina) #45287 util (SE

                    Node.js — Node.js 19.1.0 (Current)
                  • Eliciting Reasoning in Language Models with Cognitive Tools

                    Eliciting Reasoning in Language Models with Cognitive Tools Brown Ebouky IBM Research - Zurich ETH Zurich Brown.Ebouky@ibm.com Andrea Bartezzaghi IBM Research - Zurich abt@zurich.ibm.com Mattia Rigotti IBM Research - Zurich mrg@zurich.ibm.com Abstract The recent advent of reasoning models like OpenAI’s o1 was met with excited spec- ulation by the AI community about the mechanisms underlying these

                    • October 2025 (version 1.106)

                      Release date: November 12, 2025 Update 1.106.1: The update addresses these issues Update 1.106.2: The update addresses these issues Update 1.106.3: The update addresses these issues Downloads: Windows: x64 Arm64 | Mac: Universal Intel silicon | Linux: deb rpm tarball Arm snap Welcome to the October 2025 release of Visual Studio Code. This release brings significant updates across three key areas:

                        October 2025 (version 1.106)
                      • prompts.chat - AI Prompts Community

                        --- name: skill-creator description: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. license: Complete terms in LICENSE.txt --- # Skill Creator This skill provides guidance for creating effective skills. ## About Skills S

                          prompts.chat - AI Prompts Community
                        • Best Practices for Secure Error Handling in Go | The GoLand Blog

                          When you’re new to Go, error handling is definitely a paradigm shift that you need to come to terms with. Unlike in other popular languages, in Go, errors are values, not exceptions. What this means for developers is that you can’t just hide from them – you have to handle errors explicitly and at the point of the call. That equals a lot of if err != nil { return err }. But more importantly for us

                            Best Practices for Secure Error Handling in Go | The GoLand Blog
                          • go command - cmd/go - Go Packages

                            Go is a tool for managing Go source code. Usage: go <command> [arguments] The commands are: bug start a bug report build compile packages and dependencies clean remove object files and cached files doc show documentation for package or symbol env print Go environment information fix apply fixes suggested by static checkers fmt gofmt (reformat) package sources generate generate Go files by processi

                            • Node.js

                              Notable changes Add support for externally shared js builtins By default Node.js is built so that all dependencies are bundled into the Node.js binary itself. Some Node.js distributions prefer to manage dependencies externally. There are existing build options that allow dependencies with native code to be externalized. This commit adds additional options so that dependencies with JavaScript code

                                Node.js
                              • Ubuntu 24.04 LTS (Noble Numbat) Release Notes

                                Noble Numbat Release Notes Table of Contents Introduction New features in 24.04 LTS Known Issues Official flavours More information Introduction These release notes for Ubuntu 24.04 LTS (Noble Numbat) provide an overview of the release and document the known issues with Ubuntu and its flavours. For details of the changes applied since 24.04, please see the 24.04.2 change summary. Support lifespan

                                • Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

                                  Published as a conference paper at ICLR 2026 AGENTIC CONTEXT ENGINEERING: EVOLVING CON- TEXTS FOR SELF-IMPROVING LANGUAGE MODELS Qizheng Zhang1∗ , Changran Hu2∗ , Shubhangi Upasani2 , Boyuan Ma2 , Fenglu Hong2 , Vamsidhar Kamanuru2 , Jay Rainton2 , Chen Wu2 , Mengmeng Ji2 , Hanchen Li3 , Urmish Thakker2 , James Zou1 , Kunle Olukotun1 1 Stanford University 2 SambaNova Systems, Inc. 3 UC Berkeley {q

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