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Disallow: GPTBot is a wall. Walls don't pay rent, and the crawlers that matter most either ignore them or route around them. If your content is worth training on, the interesting question isn't "how do I keep the bots out" — it's "what do they owe me, and how do I say so in a way a machine can read." That's what RSL (Really Simple Licensing) is for. It shipped 1.0 in December 2025 with around 1,500 publishers behind it — Reddit, Yahoo, Quora, O'Reilly, Medium, Vox. This post is a from-scratch walkthrough of what the format actually is, the six places you can put it, the one mistake that makes crawlers silently ignore your terms, and where the declaration stops and enforcement begins. No tooling required to follow along — it's all plain XML and HTTP. The format is an XML vocabulary, not a config file An RSL document says: for this content, here's what's permitted, what's prohibited, and what it costs. Minimal example: <?xml version="1.0" encoding="UTF-8"?> <rsl xmlns= "https://rslstandard.org/rsl" max-age= "7" > <content url= "/" > <license> <permits type= "usage" > search </permits> <prohibits type= "usage" > ai-train </prohibits> <payment type= "crawl" > <amount currency= "USD" > 0.015 </amount> </payment> </license> </content> </rsl> Read it out loud: search engines may index this; training on it is prohibited; if you want to crawl it anyway, the rate is $0.015. usage tokens include search , ai-train , ai-use (inference/grounding), and a few more. You can scope rules by user and geo too. One rule that trips people up: prohibition wins . If the same token shows up under both permits and prohibits , the content is prohibited. Don't try to express "allowed except for X" by listing X in both — just prohibit X. The namespace is the thing crawlers actually key on The single most common way to publish RSL that quietly does nothing: getting the namespace wrong. It must be exactly: xmlns="https://rslstandard.org/rsl" http instead of https , a trailing slash, or a plausible

The Chinese company is allowed to sell its impressive phones in the States, but it doesn't. Here's why.

SteelSeries has the Arctis Nova Pro Wireless gaming headset on sale for $239.99 (currently between $300 and $350 at other retailers). The Xbox version that supports a host of other platforms including PlayStation, PC, and Switch is available in both black and white. The PlayStation version, which supports the same platforms except for Xbox, is […]

The state of the smart home can be frustrating, because it is just so obvious how things ought to work. You should be able to control everything from everywhere. Your spaces should adapt to what you're doing and how you're feeling. Making your home smart shouldn't require renovating, and the smarts should be mostly invisible. […]

If you're reading an Oura Ring 5 review at The Verge, you likely fall into one of two camps: newcomers looking for a smartwatch alternative, or Oura users pondering an upgrade. In the case of the former, this is a great casual health tracker and the best smart ring on the market - but not […]

Know where to place your router and how to position its antennas should get you better coverage.

GitHub热门项目 | 🧰 The Rust SQL Toolkit. An async, pure Rust SQL crate featuring compile-time checked queries without a DSL. Supports PostgreSQL, MySQL, and SQLite. | Stars: 17,291 | 15 stars today | 语言: Rust

GitHub热门项目 | CloudFlare free temp domain email 免费收发 临时域名邮箱 支持附件 IMAP SMTP TelegramBot | Stars: 10,331 | 38 stars today | 语言: TypeScript

GitHub热门项目 | There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use. | Stars: 70,354 | 48 stars today | 语言: TypeScript

GitHub热门项目 | Pure Javascript OCR for more than 100 Languages 📖🎉🖥 | Stars: 38,359 | 167 stars today | 语言: JavaScript

GitHub热门项目 | Zapret (Запрет обход блокировки Дискорда и Ютуба) | Stars: 1,335 | 18 stars today | 语言: Python

GitHub热门项目 | Advanced UX and interoperability extension for Wand (WeMod) app | Stars: 6,575 | 661 stars today | 语言: C#

GitHub热门项目 | An open-source background agents coding system | Stars: 2,155 | 9 stars today | 语言: TypeScript

GitHub热门项目 | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | Stars: 118,237 | 549 stars today | 语言: Python

GitHub热门项目 | Prefect is a workflow orchestration framework for building resilient data pipelines in Python. | Stars: 23,014 | 55 stars today | 语言: Python

GitHub热门项目 | The Destructive Command Guard (dcg) is for blocking dangerous git and shell commands from being executed by agents. | Stars: 2,367 | 444 stars today | 语言: Rust

I've always been the gamer in the family. When my son was born nearly 11 years ago, gaming was one of the things I looked forward to sharing with him. Pulling up a chair next to me, he would watch as I played Sea of Thieves with friends, often wearing the too-big-for-his-head headset to talk […]

I built a voice assistant that controls 45 AI tools. I say "Hey Jarvis" and it executes. What It Does Command Action "generate content" Creates YouTube scripts for 9 channels "research quantum computing" Deep research via Tavily + AI "write email about meeting" Drafts email, copies to clipboard "start focus" Starts Pomodoro + blocks apps "code review" Reviews git diff with AI "summarize" Summarizes clipboard content "find file tax PDF" Natural language file search Architecture Mic → Whisper (offline) → Intent Classify → Router → Ollama → say (TTS) Key Features Offline speech (Whisper local) Wake word: "Hey Jarvis" Global hotkey: Ctrl+Space Command chaining: "research AI then write blog" Memory across conversations Hindi + English Setup brew install portaudio pip install SpeechRecognition pyaudio openai-whisper python voice_commander_pro.py 🔗 github.com/amrendramishra/ai-tools 🌐 amrendranmishra.dev

hi, i am Aniruddha Adak, a full-stack developer from kolkata who spends way too much time building things with ai tools, shipping apps, and reading way too many github readmes at 2 am. i built 27 apps in 45 days using no-code and ai tools last year. that experience taught me one thing very clearly: the landscape of ai tooling for developers is moving insanely fast, and it is genuinely hard to keep up. so i sat down and did something about it. this is my deep research post on every ai tool, agent, builder, reviewer, and framework that developers, software engineers, and ai engineers should actually know about right now. i have organized it into categories so you can find what you need quickly. no fluff. just the tools, their sites, and what they do. why i wrote this i keep seeing developers waste time because they do not know the right tool exists. someone is manually reviewing pull requests for a week straight, not knowing coderabbit exists. someone else is hand-writing supabase schemas when emergent can do it in seconds. another person is spending days on a landing page when v0 can scaffold it in one prompt. this post is my attempt to fix that. i went through github repositories, dev communities, product hunt launches, and research aggregators to compile this. it is long. that is intentional. bookmark it. section 1: ai-native ides these are not just editors with a chatbot plugged in. these are environments built from the ground up around how language models think and work. tool site what it does cursor https://www.cursor.com forked vscode, codebase-aware context windows, multi-file edits with copilot-style background indexing windsurf https://windsurf.com cascade ai agent that writes files, runs terminal checks, and fixes things in real-time zed https://zed.dev built in rust with gpui, super low latency, native multiplayer coding support replit https://replit.com cloud ide with a full autonomous agent that runs inside serverless virtual workspaces google antigravit

AWS released an official Agent Toolkit that plugs Claude Code, Codex, and Cursor directly into your AWS account through a single MCP server. Instead of wiring up IAM roles and endpoints by hand, you install one plugin and the agent can search AWS docs, run sandboxed Python, and follow curated cloud skills with full CloudTrail audit logging. What the AWS Agent Toolkit Actually Is The Agent Toolkit for AWS is an open-source project (published on GitHub at aws/agent-toolkit-for-aws ) that bundles two things: The AWS MCP Server — a managed server that gives agents access to AWS through the Model Context Protocol. Agents can search AWS documentation and pull service information without authentication. To actually execute AWS API calls, run Python in a sandboxed environment, or follow curated skills, the agent authenticates through your existing IAM credentials. Agent plugins — single-install packages that bundle the MCP server configuration and a curated set of agent skills, so you don't configure endpoints and install skills one by one. The point is consolidation. One endpoint, IAM-based access controls, CloudWatch metrics, and CloudTrail logging of every API call for audit visibility. Which Agents It Supports Per AWS's own documentation, plugins ship for Claude Code, Codex, and Cursor . Kiro connects to the AWS MCP Server directly without needing a plugin, and any MCP-capable agent can point at the server manually. The install flow is refreshingly short for Claude Code: /plugin install aws-core@claude-plugins-official /reload-plugins The aws-core plugin is the recommended default — it bundles the MCP server config and skills covering service selection, infrastructure as code (CDK and CloudFormation), serverless, containers, storage, observability, billing, SDK usage, and deployment. A second plugin, aws-agents , provides additional agent-oriented capabilities. Why This Matters for Coding-Agent Users Until now, getting an agent to safely touch your cloud account meant h