Mohd Jibly

You still use Claude Code like a developer in 2025. Here's the 2026 (non-coder) cheat sheet: 1. Open the Claude desktop app. 2. Click "Code" (not Chat, not Cowork). 3. Sign up for a free GitHub account. 4. Drop your project folder into Code. 5. Select Opus 4.7 (not Haiku, not Sonnet). 6. Use this setup guide: claudecode.free Claude now builds anything you describe in English. But here's where the 2026 version gets powerful: Before you prompt, flip these 2 settings: 1. Switch to "Bypass Permissions." No more "Allow this?" 20 times per session. Vibecode 100x faster. 2. Create a "CLAUDE .md" in your project root. Type: "Write down everything you've learned about this project." Claude remembers your fonts, colors, and structure. Forever. Then stop typing 500-word paragraphs. Screenshot instead. Drag a screenshot of any site you love into Code. Paste this instead: "I do not know how to code. Build me something like this for [GOAL]. Make it work on mobile. Loop until it's right." Claude reads your screenshot. It builds the site. You check it on your phone. You screenshot every bug. You send a numbered list. Refresh. Repeat. The secret is not knowing how to code anymore. It is knowing how to brief, screenshot & loop. But to go even deeper, use my playbook: claudecode.free (save this if you can't code - you won't need to)

25 AI GitHub Repos that will change your life completely (you must bookmark this :) 1️⃣ OpenDevin → lnkd.in/gAKHkh9h 2️⃣ Aider AI → github.com/Aider-AI/aider 3️⃣ Continue → lnkd.in/gWia8H8G 4️⃣ Claude Code → lnkd.in/gJ_zQzSb 5️⃣ Open Interpreter → lnkd.in/grZN-rfh 6️⃣ CrewAI → lnkd.in/gcsqTCiW 7️⃣ AutoGen → lnkd.in/gRyCFZUu 8️⃣ LangChain → lnkd.in/g_btYWpg 9️⃣ Flowise AI → lnkd.in/g5t5dMCt 🔟 Dify → github.com/langgenius/dify 1️⃣1️⃣ AnythingLLM → lnkd.in/gnzs9jYj 1️⃣2️⃣ Cline → github.com/cline/cline 1️⃣3️⃣ Semantic Kernel → lnkd.in/g9gVqvhS 1️⃣4️⃣ GPT Engineer → lnkd.in/gAgyPnZk 1️⃣5️⃣ Haystack → lnkd.in/gHXvZzsV 1️⃣6️⃣ Claude Cookbooks → lnkd.in/gVDKgmru 1️⃣7️⃣ Claude Skills → lnkd.in/gBmv56Mx 1️⃣8️⃣ Claude Quickstarts → lnkd.in/gvFYYXAk 1️⃣9️⃣ Claude Desktop Extensions → lnkd.in/gNZJQxbG 2️⃣0️⃣ Claude Code Action → lnkd.in/gS4F6WSE 2️⃣1️⃣ Awesome MCP Servers → lnkd.in/gHXUi2CP 2️⃣2️⃣ MCPHub → github.com/idosal/mcphub 2️⃣3️⃣ Claude Task Master → lnkd.in/gEcZwtYa 2️⃣4️⃣ SuperClaude Framework → lnkd.in/gkb-y-rm 2️⃣5️⃣ Claude Swarm → lnkd.in/gJsr-wJP Most people are still using AI like a chatbot. But these repos teach you how to build: → AI coding agents → MCP systems → autonomous workflows → multi-agent orchestration → local AI environments → production-ready AI infrastructure The next generation of developers won’t just use AI. They’ll build with it. Save this for later. Which repo are you exploring first?

Top 20 Free AI Tools You Need in 2026↓ 1. Productivity & Work GetStudyPal – Learn anything 10x faster - getstudypal.com/?ref=gnax Perplexity – Research PDF AI – Chat with PDF Google Gemini – Research Wizstar – one-stop AI video creation platform built for creators and e-commerce brands - wizstar.com/?channel_id=T_… 2. Writing & Study ChatGPT – AI Writing Grammarly – Grammar and Editing Quillbot – Paraphrasing Notion AI – Writing, summarization & task organization 3. Audio, Voice & Music Music Arena - Find the best AI music models ElevenLabs – AI Voice Generation & Cloning Natural Readers – Text to Speech Suno – AI Music Creation 4. App & Web Development (Prototyping / No-Code) Replit – Browser-Based AI App Builder v0 by Vercel – React Components via Prompts Rocket - Build Web apps and mobile apps Lovable – Build Apps via Chat Prompts 5. Coding & Development AskCodi – Coding Support GitHub Copilot – AI Coding Partner Cursor – AI-Powered Code Editor 6. Image & Design Microsoft Copilot Designer – AI Art Generation MidJourney – AI Image Generation Canva Magic Studio – AI Design Tools Ideogram – AI Branding & Visuals

Saw the Claude Code vs Cowork debate on r/PM. Here's the framework I'd actually use: 1. Cowork wins for one-off work. Writing a doc, quick research, visualizing a decision you won't revisit. It's faster if you're not building something that needs to persist. 2. Cowork also wins on inline canvas rendering. Seeing Claude generate visuals for a decision, right in the chat, cuts iteration time. Code requires switching to files. 3. I think Claude Code wins for anything meant to compound. Hooks, skills, and custom instruction files survive sessions. 4. Code wins for codebase access. Reading PRs, tracing bugs, explaining features to engineering without pinging anyone. Code is the only tool that can do this. 5. Code wins when you want to connect to your own data. Database queries, S3, custom scripts you've already built. Cowork doesn't support this. 6. If you use Obsidian or any second brain, I've found Code is the only option that works. The most impressive setup in that thread was a non-coding PM who built 50 custom hooks, auto-logged meeting transcripts, and made all of it AI-searchable across sessions. 7. Enterprise and regulated environments usually default to Code anyway. AWS Bedrock deployments, no-Cowork policies, screen-sharing security concerns. The debate is moot for a lot of orgs. 8. Best team stack: Code builds, Cowork consumes. Data pipeline in Code, results surfaced in Cowork for non-technical teammates. 9. You don't need to be a developer to use Code. The setup is trivial. 10. Most PMs are using Cowork like a better ChatGPT. That's fine. But if you want your AI work to compound, I'd use Claude Code.

20 YouTube channels that teach AI better than most CS degrees. Free. No application required. No tuition. This list covers everything: theory, intuition, implementation, research. Here's the full list: 👇 1. Andrej Karpathy Deep, intuitive walkthroughs of neural networks and modern LLMs Link: lnkd.in/gE6S6raT 2. 3Blue1Brown Visual intuition for math, linear algebra, and neural networks Link: lnkd.in/g4wC_iPQ 3. StatQuest with Josh Starmer Clear, friendly explanations of statistics and ML fundamentals Link: lnkd.in/gTaEyqYg 4. Stanford Online University-grade ML and AI lecture series (Andrew Ng, CS229, etc.) Link: lnkd.in/gavEEh5v 5. freeCodeCamp Full-length AI and ML courses — structured, free, and constantly updated Link: lnkd.in/gtiyfnHr 6. sentdex Practical machine learning and Python projects Link: lnkd.in/gPAY_ga8 7. Yannic Kilcher Deep dives into ML and AI research papers Link: lnkd.in/gFkDZWE7 8. MIT OpenCourseWare Rigorous academic courses on ML, AI, and applied mathematics Link: lnkd.in/gNaRSdSZ 9. DeepLearningAI Structured learning paths for deep learning and generative AI Link: lnkd.in/gdGfUwpj 10. Two Minute Papers Fast, accessible summaries of cutting-edge AI research Link: lnkd.in/gr93SaYD 11. Umar Jamil Clear, implementation-focused explanations of transformers and LLMs Link: lnkd.in/gurTw-yi 12. Hugging Face Open-source LLMs, transformers, and modern NLP tooling Link: lnkd.in/g_sfHVnH 13. AI Explained Accessible breakdowns of the latest AI research and model releases Link: lnkd.in/gpMdBCaw 14. Lex Fridman Long-form conversations with top AI researchers and practitioners Link: lnkd.in/g4VduFAM 15. Matt Wolfe The fastest way to stay current on AI tools, news, and releases Link: lnkd.in/g6jnjuPY 16. Machine Learning Street Talk Unfiltered, technical discussions on AI research and theory Link: lnkd.in/gKHEsafg 17. Jeremy Howard Practical deep learning with strong intuition Link: lnkd.in/gjpiiJCK 18. Kaggle Applied ML, competitions, notebooks, and real-world workflows Link: lnkd.in/gd-m8w_j 19. Tina Huang Career-focused AI and data science from an ex-Meta data scientist Link: lnkd.in/gktJmQME 20. Anthropic AI safety, model research, and how frontier AI actually gets built Link: lnkd.in/gxmbpF8d The best AI education isn't behind a paywall. It never was. While people debate which bootcamp to buy, the best instructors in the world are uploading for free. Every week. 💡 Pro Tip: Save this post (you'll come back to it) 1. Follow @coder_surya 2. Save the post. 3. Repost to your network. 4. Join AI Community: tinyurl.com/mvsz79eu .........

@Shipon_40AI @MoniAi217872 Gemini

Gemini Pro is powerful. Most users waste it. These 300+ prompts unlock actual productivity — not demos. I normally charge $99 for the exact system—but today it’s 100% FREE. 👇 Get it: 👍 Like & RT 💬 Comment “Gemini” ➕ Follow must

The most underrated AI tool on the internet: Ideogram AI. I paired it with Claude to create a short nonfiction eBook… That simple workflow now makes $4K–$5K/month. 🤯 Like + reply “Send” and I’ll DM you the full breakdown to replicate it today. (Follow me so I can DM you.)

Claude is offering 18 official AI courses with certificates. And it's 100% free: 1 - Claude 101. Learn Claude for everyday work. anthropic.skilljar.com/claude-101 2 - Master Claude Cowork. Build powerful agentic workflows right on your desktop. anthropic.skilljar.com/introduction-t… 3 - Claude Code 101. Master vibe coding with Claude Code. anthropic.skilljar.com/claude-code-101 4 - AI Fluency: Core concepts for AI literacy anthropic.skilljar.com/ai-fluency-fra… 5 - Introduction to Agent Skills. anthropic.skilljar.com/introduction-t… 6 - Building with the Claude API. anthropic.skilljar.com/claude-with-th… 7 - Claude Code in Action. Integrate Claude Code into your dev workflow. Hands-on, practical, ship-focused. anthropic.skilljar.com/claude-code-in… 8 - Intro to Model Context Protocol. Connect Claude to your local data. The ultimate game changer for context. anthropic.skilljar.com/introduction-t… 9 - MCP: Advanced Topics. Build custom integrations and MCP servers. For heavy-duty scaling. anthropic.skilljar.com/model-context-… 10 - AI Fluency for Students. Use AI to study and research smarter. The ultimate cheat code for academics. anthropic.skilljar.com/ai-fluency-for… 11 - AI Fluency for Educators. anthropic.skilljar.com/ai-fluency-for… 12 - Teaching AI Fluency. anthropic.skilljar.com/teaching-ai-fl… 13 - AI Fluency for Nonprofits. Maximize your mission's impact. Do way more with way less. anthropic.skilljar.com/ai-fluency-for… 14 - Claude with Amazon Bedrock. Deploy Claude on AWS infrastructure. Enterprise-grade scaling made easy. anthropic.skilljar.com/claude-in-amaz… 15 - Claude with Google Cloud's Vertex AI. Deploy Claude on Google Cloud infrastructure. Seamless cloud integration for scaling apps. anthropic.skilljar.com/claude-with-go… 16 - AI Fluency for Small Businesses anthropic.skilljar.com/ai-fluency-for… 17 - AI Capabilities and Limitations anthropic.skilljar.com/ai-capabilitie… 18 - Introduction to subagents anthropic.skilljar.com/introduction-t… Follow me @elora_khatun for more AI IDEA.

A SILICON VALLEY DEVELOPER BUILT AN AI THAT INTERVIEWS HIM ABOUT HIS OWN NOTES AND UPDATES HIS OBSIDIAN BRAIN WITH THE ANSWERS Semantic search through embeddings, connected nodes to any depth and a Claude Code agent with a system prompt built on the latest research in knowledge elicitation - and the system found his notes on ergodicity from Nassim Taleb and started asking questions he would never have asked himself. "Do you have a framework for when it's worth entering a non-ergodic situation?" - and he just sits there thinking because it's actually a great question. He asked AI to simulate answers to the questions AI asked him - then asked AI to update Obsidian with those answers - and at that moment realized he was asking AI to answer AI so AI could write it into his brain. The Vault Manager sub-agent creates new nodes, sets connections and updates the knowledge graph automatically - and has a system prompt that explicitly forbids it from putting words in his mouth so his own ideas stay uncontaminated. A second brain that grows on its own and asks better questions than most people around him.

12 Websites that pay you daily 1. arise.com 2. kellyconnect.com 3. gaggle.net 4. paidwork.com 5. toptal.com 6. transcriptionhub.com 7. preply.com 8. omniinteractions.com 9. rev.com 10. taskrabbit.com 11. swagbucks.com 12. nexrep.com 13. clickworker.com Follow me @KhusbooT14835 for more AI IDEA. Like , Comment - "Websites" and repost so that others can also take benefits !!

Boris Cherny: "most SaaS exists because humans are the integration layer." he's the head of Claude Code at Anthropic. he goes further than that. "a lot of SaaS just goes away when agents can operate software directly." because the only reason most SaaS tools exist is that humans need an interface to move data between systems. agents don't need the interface. and he's not talking about some distant future. he means the people who are already running agents in parallel right now are not using the same software stack as everyone else. the gap between people who know how to actually run agents and people who occasionally prompt Claude, is widening every month. that's why I put together a breakdown of everything Claude can actually do that most developers have never touched. read it and you'll already be ahead of 99% of people using Claude every day. full guide in the article below.

holy shit... 14.5K stars in 4 months. Anthropic just open sourced 11 plugins that turn Claude into a specialist for your entire team. It's called knowledge-work-plugins. The small-business one alone ships with 15 skills and 15 workflows that handle the entire back office. You install it with two commands. After that, you just talk to Claude like a human. "I'm stressed about making payroll." "A customer is angry." "What should I charge?" A router figures out which workflow you need and walks you through it. Nothing to memorize. No prompts to write. The full lineup covers every job in a company: → sales: prospect research, call prep, pipeline review, outreach → finance: journal entries, reconciliation, close, audit support → legal: contract review, NDA triage, compliance, risk assessment → marketing: content, campaigns, brand voice, competitor briefs → customer-support: ticket triage, escalations, knowledge base → product-management, data, productivity, enterprise-search, bio-research, small-business Each plugin comes pre-wired with the real tools that role uses. Sales gets HubSpot, Close, Clay, ZoomInfo. Finance gets Snowflake, Databricks, BigQuery. Legal gets Box, Egnyte. Marketing gets Canva, Figma, Ahrefs. Every workflow pauses before taking action. Nothing fires without your approval. And the wildest part — these are just markdown and JSON files. No code. No build steps. No infrastructure. Which means even if you don't use Claude, you can read the skill structure and adapt the workflows for Codex, Cursor, or any other agent. This is the start of an entirely new category. Business operations as AI-readable skill files. Apache 2.0. 100% Opensource.

WAIT. This is actually insane. I just saved a Claude Design template that locks in the layout for every future project. → Section structure pre-defined → Spacing pre-approved → Brand auto-applied → Copy slots ready for prompts Now every new project starts at 50 percent done before I even type a word. Most people are still letting Claude guess the structure from scratch every time and burning tokens on layout iteration. This article breaks down the EXACT 4-step workflow that gets you professional designs on the first pass.

Most engineers think CLAUDE.md is just a README for AI. They’re wrong. It’s the difference between: → Claude acting like a junior intern → Or a senior engineer who’s been on your team for 10 years Here’s what almost nobody talks about 👇 The 4-Layer Context System: 1) Project Memory Your team’s brain in one file Decisions. conventions. edge cases. (Not just what to do — what to NEVER do) Most people stop here. That’s the mistake. 2) Behavior Gates Guardrails before chaos → Block risky actions before they happen → Auto-fix code after every step → Stop secrets from ever leaking AI without this = unpredictable AI with this = reliable 3) Specialized Workflows You stop prompting. You start building playbooks. → Tasks trigger automatically → Each workflow brings its own tools + logic → Claude doesn’t guess — it executes 4) Team Orchestration This is where things get wild → Multiple agents working in parallel → Tasks split, solved, merged → Clean, isolated contexts This isn’t AI anymore. It’s an AI team. Here’s the real unlock: Individually, these are useful. Together, they’re unfair. Hooks enforce Skills execute Agents coordinate CLAUDE.md connects everything Most engineers are still writing prompts. The ones moving 10x faster? They’re building systems.

INSTEAD OF SCROLLING THROUGH YOUR PHONE FOR THE NEXT 90 MINUTES WATCH THIS STANFORD LECTURE ON HOW AI ACTUALLY WORKS. It is the clearest explanation of what is happening inside ChatGPT and Claude that exists anywhere on the internet. Not a simplified version. Not a beginner overview that skips the parts that actually matter. The real mechanics. From Stanford. Free. Here is why this hour is worth more than the next 90 minutes of anything else you were planning to do tonight. If you have never touched AI: this is the lecture that makes everything click without requiring a computer science degree. You will understand what is actually happening when you type a prompt. That understanding changes how you use every AI tool immediately. If you use AI every day: this fills in the gaps you have been working around without knowing why they exist. The inconsistent outputs. The prompts that work sometimes and fail others. The behaviors that seem random. All of it has a mechanism. This lecture explains it. Understanding the mechanism is not academic. It is the most practical advantage available to any AI user right now. The people who understand how Claude processes a prompt write prompts that work with the model. The people who do not write prompts and hope. I took the key ideas from this lecture and built a practical guide on getting 100% out of Claude. The guide is below. Watch the lecture first. Everything in the guide lands differently when you understand why it works. 90 minutes of scrolling leaves you exactly where you started. This lecture changes how you work with AI permanently. Bookmark this and watch it tonight. Follow @cyrilXBT for every resource that makes Claude more powerful the moment you understand it.

Someone is going to make $1M profit in 2026 selling ONE AI agent. It's called a speed-to-lead agent. Here's the play: The agent watches a business's inbound lead channels (website forms, email, SMS) and responds to every new lead in under 5 minutes with a personalized, contextual reply. Not "thanks, we got your message, we'll be in touch in 24 hours." But a real response that understands why they reached out and addresses it specifically. Why this matters: MIT ran a study and found you're 21x more likely to qualify a lead when you respond in under 5 minutes vs 30+ minutes. Every business with inbound leads is bleeding revenue right now. This is one of the few agents where you can immediately quantify the ROI. It puts cash in the client's pocket on day one. How to find clients: Call local service businesses. Submit forms on their websites. Email them. Track how long they take to respond. Most will take 24 to 48 hours. Some will never reply. That's your sales pitch: "I requested a quote from your business 3 days ago. Imagine how many leads you're losing because your response time is 3 days. Let's build you a speed-to-lead agent." Pricing: - $5K to $10K setup fee - $500 to $1K per month to maintain it Land 20 clients = $10-$20K MRR + $100-$200K in setup fees. Land 50 clients = $25-$50K MRR + $250-$500K in setup fees. This is the best AI business model right now because it ties directly to revenue. The ROI is dead simple to quantify. Go build it.

A man spends 50 years teaching at MIT. He knows his time is running out. So he records one last lecture — everything he knows, distilled into a single hour. He died 5 months later. This is that lecture. The most important hour you'll watch this week. 👇 Bookmark it for later