yolorush

🚨 12 GitHub Repos that make Claude Code 10x more powerful These aren’t random lists — these are the tools serious builders are using 👇 🧠 Memory & Core Systems 1. Claude Mem — Persistent memory across sessions github.com/thedotmack/cla… 2. LightRAG — Graph + vector RAG for deep codebase understanding github.com/HKUDS/LightRAG ⚡ Automation & Integrations 3. n8n Skills (UI UX Pro Max) — 50+ UI styles, color systems, UX patterns github.com/czlonkowski/n8… 4. n8n-MCP — Connect Claude Code to 100s of integrations via MCP github.com/czlonkowski/n8… 5. VoiceMode MCP — Talk to Claude using voice (Whisper + Kokoro) github.com/mbailey/voicem… 🧰 Toolkits & Frameworks 6. Everything Claude Code — Skills, security scanning, multi-language agents github.com/affaan-m/every… 7. Superpowers — Forces structured thinking + TDD before coding github.com/obra/superpowe… 📚 Learning & Resources 8. Claude Code Ultimate Guide — From beginner → power user github.com/FlorianBruniau… 9. Awesome Claude Code — Community hub (skills, hooks, workflows) github.com/hesreallyhim/a… 🔌 Plugins, Skills & Ecosystem 10. Antigravity Awesome Skills — 1,400+ installable skills github.com/sickn33/antigr… 11. Claude Agent Blueprints — 75+ agent templates beyond coding github.com/danielrosehill… 12. Awesome Claude Plugins (Metrics Index) — 12,000+ repos ranked by adoption github.com/quemsah/awesom… If you're building with Claude Code: Start with this stack: → Claude Mem + LightRAG → n8n-MCP + Skills → Superpowers That alone puts you ahead of 90% of devs

@AlfieJCarter Bible

just put together 26 modules on Claude GTM engineering... a GTM BIBLE with EVERY build principle, deployment sequence, and workflow system across Claude Code, Managed Agents, and Cowork that took 112 hours to document and covers the full stack from zero to production for 24h, i'm sending it to EVERYONE who likes + comments "BIBLE" (must be following)

Github just mass-released a tool that mass reduces your Ai costs by 75% And mass devs are mass sleeping on it Caveman - a Claude Code skill that forces your AI to talk like a literal caveman ↳ Strips all filler, hedging, and pleasantries from outputs ↳ Keeps 100% technical accuracy intact ↳ Cuts output tokens by up to 75% ↳ Auto-reverts to normal English for critical security warnings ↳ Works as a simple Claude Code skill -- no config headaches ↳ One-line install into any project Why this matters: Most of your AI bill is wasted on politeness. "I'd be happy to help you with that! Here's a comprehensive overview of the approach we could take..." That's 20 tokens before the AI even starts answering. Caveman kills all of it. You get raw, direct, technically precise responses. Nothing else. The smart part: it knows when to stop being a caveman. Security warnings and destructive operations get full proper English automatically. This is genuinely one of the best prompt engineering tricks packaged into a single skill. Star it before your next API bill hits.

Another OpenCode Go giveaway. --------- 10 People will win this time. Winners will be chosen based on your comment. 10 most liked comments win.

@KajetanMastela @therahul4402 @bidhaan_daju Same here lol

@therahul4402 @bidhaan_daju Damn, I came here to post the exact same suggestion… but of course the internet was faster :(

just installed Linux for the first time What command should i run ?

@mhdcode Without real usage limits it's not really useful. How do I know how many tokens I get for 6$ model 1 compared to 20$ in model 2?

just stumbled on this website that lists every AI sub out there… pretty useful

@lmstudio I don't even have 138GB on my SSD bruh

MiniMax M2.7 is now available in LM Studio. This model excels at agentic tool calling 🛠️ Requires at least ~138GB to run locally lmstudio.ai/models/minimax…

Claude Code just got a ability that changes everything for solo builders. It can now reverse engineer any UI on the internet. Point it at any website. It studies the design patterns, the layout, the component structure. Then rebuilds it as your starting point. Stripe's checkout flow. Apple's product page. Linear's dashboard. Any UI you have ever wanted to clone and build on top of. Available right now. A solo developer with this just became more dangerous than a 10 person design team.

@ObektivnoBg Спасителят на света!!

Тръмп: Отварям Ормузкия проток заради Китай obektivno.bg/tramp-otvaryam… via @ObektivnoBg

A better version would be: I want to improve code quality in an existing codebase through a careful, low-risk cleanup pass. Work in 8 focused tracks, but coordinate findings before making broad changes. For each track: 1.Inspect the relevant code and tooling 2.Write a brief critical assessment of issues found 3.Propose recommended changes, ranked by confidence and risk 4.Implement only high-confidence, low-regret changes 5.After changes, run all relevant checks and report results Tracks: 1.Deduplicate and consolidate code where it reduces complexity without obscuring intent 2.Consolidate shared type definitions where duplication causes drift or inconsistency 3.Identify unused code with tools such as knip, then verify manually before removing anything 4.Detect and untangle circular dependencies with tools such as madge, prioritizing cycles that affect maintainability or correctness 5.Strengthen typing where appropriate by replacing unsafe any usage and narrowing overly broad types, while preserving legitimate boundary types such as unknown where they are correct 6.Review error handling and remove only unnecessary or misleading defensive patterns. Keep try/catch where it serves a real boundary, recovery, logging, cleanup, or user-facing error-handling purpose 7.Identify deprecated, dead, fallback, or legacy paths and remove only those that are clearly obsolete and not required for compatibility, migration, configuration, or active users 8.Remove low-value AI-generated artifacts such as stubs, placeholder logic, redundant comments, misleading TODO-style narration, and comments that describe edit history instead of intent. Keep or improve comments that help a new engineer understand why the code exists Rules: •Do not do speculative rewrites •Do not change public behavior unless the change is clearly intended and justified •Prefer small, reviewable commits or patches grouped by concern •Before removing anything, verify that it is not used dynamically, via configuration, reflection, registration, hooks, code generation, or framework conventions •Preserve compatibility unless you can prove it is safe to remove •Flag medium- and high-risk findings separately instead of auto-implementing them •For each implemented change, explain why it is safe Validation after each track: •Run tests •Run type checks •Run linting •Run build •Report failures, risks, and anything requiring manual review Final output: •Summary of issues found •Changes implemented •Changes intentionally not implemented •Risks or follow-up items •Any assumptions that need human verification

You just launched your SAAS/APP. You have 0 users but 10K in the bank. You can only choose one move: -Ads -Cold outreach -Content -Product improvements What are you doing?

@KaiXCreator Codex is bad now as well, nerfed just like claude

$20 in codex feel endless. $20 in claude disappear in 20 mins.

@asaio87 How long are the articles it writes and what prompt/sources are you using? I also try to use it writing long articles - study courses, and I am out of tokens in 10-15 minutes too.. 3 modules of 5k to 8k words is what I get best case scenario😒

Now I am hitting the limit on my $20 Claude plan in less than 15 minutes. It's amazing how inefficient it is.

🇺🇲 AMERICAN DREAM 🚀 Ecco! Un missile americano da 3 milioni di dollari, lanciato da un jet da 200 milioni di dollari che vola a un costo di 20.000 dollari l'ora, per uccidere persone che vivono con meno di 10 dollari al giorno in Iran. Nel frattempo, in America, i legislatori repubblicani ritengono che un sussidio giornaliero di 6,20 dollari del programma SNAP, destinato a fornire cibo a una persona bisognosa, sia uno spreco di denaro pubblico, quindi è stata approvata una GRANDE E MERAVIGLIOSA LEGGE per porvi rimedio e dare impulso all'economia della più grande nazione del mondo. ~Jacob Lassiter

Qwen3.6-Plus is free on OpenRouter right now. $0/M tokens. 1M context, native multimodal, trades blows with Opus on coding benchmarks. Here's how to run it in Claude Code in 2 minutes: - Grab a free API key at openrouter(.)ai/settings/keys - Set these in your terminal: "export ANTHROPIC_BASE_URL=openrouter. ai/api export ANTHROPIC_AUTH_TOKEN=sk-or-v1-your-key export ANTHROPIC_DEFAULT_OPUS_MODEL="qwen/qwen3.6-plus-preview:free" - Run claude This also works in OpenCode - Qwen3.6-Plus is available there for free too.

@RoundtableSpace not free

前端真的要失业了！ 这个仓库太猛了，4.8万Star，解决了AI写前端最头疼的问题：UI丑。 DESIGN.md 是Google Stitch提出的新概念——一个纯Markdown文件，定义你的设计系统。丢进项目根目录，AI编程工具直接读懂你的UI该长什么样。 类比一下： - AGENTS.md 告诉AI怎么构建项目 - DESIGN.md 告诉AI项目该长什么样 这个仓库收集了66个知名网站的DESIGN.md，直接拿来用： AI平台：Claude、Mistral、ElevenLabs、Replicate 开发工具：Cursor、Vercel、Raycast、Warp 设计工具：Figma、Framer、Webflow 金融/Crypto：Binance、Coinbase、Stripe 消费品牌：Apple、Nike、Spotify、Tesla 豪车：Ferrari、Lamborghini、Bugatti、BMW 每个文件包含：配色方案、字体规则、组件样式、布局原则、响应式行为、甚至给AI的prompt指南。 用法极其简单：复制一个DESIGN.md到你的项目根目录，告诉AI"照这个风格做"，出来的UI直接就是品牌级水准。 想让你的产品页面有Stripe的质感？复制Stripe的DESIGN.md。想要Linear的极简风？复制Linear的。 以前做UI：找设计师→出设计稿→切图→还原。 现在：复制一个md文件，AI直接生成。 前端的游戏规则变了。 🔗 github.com/VoltAgent/awes… ---------------------------------- 在武汉的独立开发者、OPC超级个体注意啦！ 世界人工智能大会（WAIC）官方举办的OPC黑客松大赛武汉线下交流会4月19号举办，在武汉的同学可以加V群，报名地址： opencsg-china.feishu.cn/share/base/for… OPC先锋挑战赛是全球首个聚焦「一人公司」的顶级 AI 赛事，双赛道设计，总决赛 7 月登陆上海世博会场 其他城市OPC聚会报名请看： x.com/NFTCPS/status/…

PDFs are officially dead. Someone just built a tool that turns PDFs into clean, structured Markdown at 100 pages/sec 🤯 No GPU. No API cost. No messy parsing. Just raw, usable data. Here’s what it handles effortlessly: • Tables → perfectly extracted • Broken layouts → auto-fixed • Nested data → structured cleanly • Scanned chaos → turned readable This isn’t a small upgrade. This wipes out 90% of manual data cleaning overnight. The tool is OpenDataLoader And yes… it’s open-source. Repo → github.com/opendataloader…

Microsoft just dropped a FREE path to become AI certified all the training materials, study guides, and practice exams are completely free on Microsoft Learn you don't need to pay $5,000 for a bootcamp you don't need a $2,000 udemy bundle you just need Microsoft Learn and discipline the certification path has 3 levels: LEVEL 1: Azure AI Fundamentals (AI-900) your entry point. no prior knowledge needed. no coding required what it covers: - how AI and machine learning work on Azure - computer vision and NLP basics - generative AI workloads - responsible AI principles prep time: 2-4 weeks passing score: 700/1000 training: FREE on Microsoft Learn this cert never expires. once you pass, it's yours forever IMPORTANT: this exam retires June 30, 2026 and gets replaced by AI-901 if you want the current version, MOVE NOW LEVEL 2: Azure AI Engineer Associate (AI-102) this is where it gets real. you're building actual AI solutions what it covers: - Azure OpenAI integration - RAG (retrieval-augmented generation) - AI agents and agentic solutions - computer vision and NLP pipelines - document intelligence - building with Python or C# SDKs Microsoft updated this in 2025 to focus on generative AI and agents (exactly what companies are hiring for right now) prep time: 1-3 months passing score: 700/1000 renewal: every 12 months, FREE online training: FREE on Microsoft Learn this cert alone qualifies you for Azure AI Engineer roles ALSO RETIRES JUNE 30, 2026. the window is closing LEVEL 3: Azure Solutions Architect Expert (AZ-305) the expert tier. you're not just building AI, you're designing entire cloud architectures PRIOR KNOWLEDGE: you need Azure Administrator Associate (AZ-104) first what it covers: - identity and governance solutions - data storage architecture - business continuity planning - full infrastructure design prep time: 2-4 months passing score: 700/1000 renewal: annually, FREE online training: FREE on Microsoft Learn this isn't AI-specific but it's the cert that gets you into the room where AI architecture decisions happen median salary for Azure Solutions Architects: $170k+ the full roadmap: > month 1-2: study and pass AI-900 > month 2-4: study and pass AI-102 > month 4-8: get AZ-104 then AZ-305 total time: 6-8 months all training materials: $0 DISCLAIMER: "but the exams AREN'T free" you're right. they cost $99-$165 each but Microsoft Virtual Training Days give free vouchers for AI-900 students with .edu emails get exams for $0-15 Microsoft Ignite challenges give 50% off and even full price is UNDER $600 for all 3 levels no bootcamp needed no overpriced course needed 3 certs. 6-8 months. and you're certified by the company that powers half the enterprise AI infrastructure on the planet the June 2026 deadline makes this urgent, AI-900 and AI-102 both retire after that START TODAY ❤️ Recommendation: at least complete all free materials, and as you will have this knowledge, buy the exams to get certified if you don't have money to pass them, just get a free knowledge which is confirmed with TOP universities of this world win-win situation anyway

If you want to get Microsoft AI certified, start here: • Level 1: Azure AI Fundamentals (AI-900) • Level 2: Azure AI Engineer Associate (AI-102) • Level 3: Azure Solutions Architect Expert (AZ-305) (not AI‑specific, but useful for architecting AI solutions)