𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 3) 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Development 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6. AWS Certified + IBM COURSE 7. Data Science + Deep Learning 8. BIG DATA + SQL COMPLETE COURSE 9. Python + OTHERS 10 MBA + HANDWRITTEN NOTES (72 Hours only ) Cost About - $500 To get: - 1. Follow (So I can DM you ) 2. Like & retweet 3. Reply " Send "

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🚨Breaking: Anthropic just dropped Opus 5. One of the biggest AI model releases of the year. But most people are barely scratching the surface of what it can actually do. So I spent hours testing it and compiled an Opus 5 Prompt Library with 50 powerful prompts + advanced techniques for: • Coding & debugging • Deep research • Writing & content creation • AI agents & automation • Business strategy • Data analysis • Marketing & growth • And much more. If you want the full prompt library, I'm giving it away for free. How to get it: 1️⃣ Follow me (so I can DM you) 2️⃣ Like + RT this post 3️⃣ Comment "opus" 🔥 I'll DM the document to everyone who completes the steps. Let's unlock the full potential of Opus 5.

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Anthropic quietly deleted 80% of Claude Code's own built-in instructions. The result got better, not worse. Boris Cherny, the guy who created Claude Code, said the reason plainly: every instruction in your setup was written to patch a problem an older model had. The model moved. Most people's CLAUDE.md never did. So right now, a huge chunk of what's sitting in your Claude config is dead weight, instructions fighting problems that don't exist anymore, actively making the current model perform worse. The fix isn't "delete everything and hope." It's a prompt that makes Claude audit itself: → Reads Anthropic's live prompting docs for your exact model, not what it remembers from training → Goes through your CLAUDE.md, skills, and hooks line by line → Gives one verdict per line: delete, keep, or rewrite, with the reasoning in plain English → Quotes the actual source that justifies each delete, no invented justifications → Flags the sneaky stuff: "always double-check your work" rules that make the model redo work you're already paying for, "don't overthink" rules that leak internal reasoning into the output, role-padding that used to matter and now doesn't → Tells you what's missing, not just what's excess Then it hands you a table: your line, the verdict, the reason, and the exact wording to paste in for whatever's missing. You don't write the audit. You just read it and approve it. Free skill, one prompt, six months of accumulated instruction-cruft cleared in one pass. When's the last time you actually looked at what's sitting in your CLAUDE.md?

179k GitHub stars. An ex-Vercel engineer just open-sourced the exact AI coding workflow he uses every day. Not prompts. Not templates. A complete .claude setup with 26 production-ready skills you can clone for free. Here's what stood out: • grill-with-docs → Interviews you before writing the implementation plan • code-review → Reviews architecture, not just syntax • diagnosing-bugs → Runs a systematic debugging workflow instead of random guessing • research → Investigates primary sources before making changes • grill-me → Challenges your thinking until the plan has no weak spots • handoff → Compresses an entire coding session into a clean handoff for the next agent • writing-great-skills → Helps you create reusable AI skills that actually work The best part? These aren't tied to Claude. The workflows can be adapted to Cursor, Codex, Gemini CLI, OpenAI, Amp, Windsurf, or practically any coding agent. If you're building with AI in 2026, the advantage isn't having a smarter model. It's having better workflows. This repo is basically a free masterclass in how senior engineers collaborate with AI. Worth studying even if you never copy a single file. 🔖 Bookmark this before it disappears from your timeline. What's your favorite AI coding agent right now?

They didn't burn the books. They fed them to a scanner and called it fair use. Somewhere in a warehouse, a hydraulic press is guillotining the spine off a 1962 first edition. A scanner eats the loose pages. What's left goes to recycling. This isn't a dystopian short story — it's Anthropic's actual training pipeline, and it had a code name: Project Panama. The internal memo was blunt: "Project Panama is our effort to destructively scan all the books in the world... we don't want it to be known that we are working on this." A judge looked at millions of shredded books and said: perfectly legal. Why? Because the physical copy died the moment the digital one was born — one copy in, one copy out, no duplication, no distribution. Fair use, case closed. So now there's a quiet industry of it — bulk buyers, anonymous orders, rare pre-2022 editions getting scooped up specifically *because* they're scarce and untrained-on. Books that survived library purges, fires, and a couple hundred years of neglect are meeting their end in a sheet-feed scanner in an industrial park. Preservation or incineration? Depends whether you think the text is the book, or the book is the book.

95% of Claude users never leave the chat box. The other 5% save 10+ hours a week. Same tool. Completely different result. Here's the actual gap, level by level: Level 1: Chat (★★) Where almost everyone stops. Just talking back and forth, re-explaining context every single time. → Turn on Memory (Settings → Capabilities), so Claude stops forgetting your last conversation → Set Personal Preferences once instead of repeating your tone every time → Build Projects with pinned files and a system prompt per client → Connect Gmail, Calendar, Drive so Claude can actually read your world → Add "ask me first" to your prompt so it clarifies instead of guessing → Save your best prompts as Skills that auto-fire on keywords Payoff: Claude stops forgetting the brief. That's it. That's the whole unlock most people miss. Level 2: Cowork (★★★★) Claude stops replying and starts doing the task. → Install Claude for Chrome, it clicks through sites and pulls data itself → Set up Scheduled Tasks, reports and drafts waiting before you log on → Add the Excel + PowerPoint plugin, edit files straight from chat → Ask Claude to dispatch work in parallel instead of one thing at a time Payoff: hours of admin handed back, every single week. Level 3: Code (★★★★★) This is where you stop chatting with Claude and start training it to think like you. → Claude Code + Gmail MCP for full inbox triage, read, labeled, drafted, filed → Claude Code + your brand kit for on-brand design from one sentence → Claude Code + Remotion + HeyGen for a full Reel pipeline, script to rendered video → Claude Code + scheduled cron for entire workflows running while you sleep Payoff: autopilot. Work runs without you sitting in the loop. The rule is simple: don't skip levels. Maxx out chat before cowork. Maxx out cowork before code. Where are you actually at right now, chat, cowork, or code?

The reasoning effort you dialed down because inference was too expensive just got affordable again. Ship runs Opus 5 quality for 46% of what it costs direct, so I'd hold spend flat and buy the higher effort tier instead of a smaller bill

Everyone wants to build AI agents. Almost nobody has a reading list. They watch one YouTube video, skim a Twitter thread, then wonder why their agent falls apart the moment it needs to plan, use a tool, or remember anything. Here's the resource list I wish someone had handed me on day one. Every link, organized by what it actually teaches. Save this one. **VIDEOS** 1. LLM Introduction: 2. LLMs from Scratch: 3. Agentic AI Overview (Stanford): 4. Building and Evaluating Agents: 5. Building Effective Agents: 6. Building Agents with MCP: 7. Building an Agent from Scratch: 8. Philo Agents (playlist): **REPOS** 1. GenAI Agents: 2. Microsoft's AI Agents for Beginners: 3. Prompt Engineering Guide: 4. Hands-On Large Language Models: 5. GenAI Agents (alt link): 6. Made with ML: 7. Hands-On AI Engineering: 8. Awesome Generative AI Guide: 9. Designing Machine Learning Systems: 10. Machine Learning for Beginners (Microsoft): 11. LLM Course: **GUIDES** 1. Google's Agent Whitepaper: 2. Google's Agent Companion: 3. Building Effective Agents (Anthropic): 4. Claude Code Best Agentic Coding Practices: 5. OpenAI's Practical Guide to Building Agents: **BOOKS** 1. Understanding Deep Learning: 2. Building an LLM from Scratch: 3. The LLM Engineering Handbook: 4. AI Agents: The Definitive Guide — Nicole Koenigstein: 5. Building Applications with AI Agents — Michael Albada: 6. AI Agents with MCP — Kyle Stratis: 7. AI Engineering (O'Reilly): **PAPERS** 1. ReAct: 2. Generative Agents: 3. Toolformer: 4. Chain-of-Thought Prompting: 5. Tree of Thoughts: 6. Reflexion: 7. Retrieval-Augmented Generation Survey: **COURSES** 1. HuggingFace's Agent Course: 2. Build with Anthropic: I'm not telling you to go through all 39 links this weekend. Start with the Stanford overview, then Anthropic's "Building Effective Agents" guide, then ReAct. That sequence alone will teach you more about how agents actually work than most paid courses. Save this post. You'll want it back in three weeks when you're stuck debugging why your agent keeps calling the wrong tool. Repost if this saved you an afternoon of searching. P.S. Which one are you starting with?

Someone just made Claude instances talk to each other. Not APIs. Not agents. Not orchestrators. Just multiple Claude Code sessions… messaging each other like coworkers. It’s called claude-peers — and it turns one Claude into a team. Here’s what’s happening: Run 5 Claude Code sessions across different projects Each one auto-discovers the others They send messages instantly Ask questions Share context Coordinate work Your AI tools literally collaborate. Example: Claude A (poker-engine): "what files are you editing?" Claude B (frontend): "working on auth.ts + UI state" Claude A: "ok I'll avoid touching auth logic" No conflicts. No manual coordination. Just AI syncing itself. Under the hood: • Local broker daemon (localhost) • SQLite peer registry • MCP servers per session • Instant channel push messaging • Auto peer discovery • Cross-project communication Everything runs locally. No cloud. No latency. What it unlocks: • Multi-agent coding without frameworks • One Claude writes backend, another frontend • One debugs while another refactors • Research Claude feeds builder Claude • Large projects split across AI workers This is basically: "spawn 5 Claudes and let them coordinate themselves" Even crazier: Each instance auto-summarizes what it's doing Other Claudes can see: • working directory • git repo • current task • active files They know what the others are working on. Commands: • list_peers → find all Claude sessions • send_message → talk to another Claude • set_summary → describe your task • check_messages → manual fallback So you can literally say: "message peer 3: what are you working on?" …and it responds instantly. No orchestration layer. No agent framework. Just Claudes… talking. This is the cleanest multi-agent system I've seen. We're moving from: 1 AI assistant → to AI teams that coordinate themselves. And it's all running on your machine. Wild.

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

🙀This is Insane: You can run Claude Code completely free now. No API bills. No rate limits. No data leaving your device. Just Claude Code running locally fast, private, and 100% yours. Here’s how to set up Claude Code on your own machine (free + fully private) For guide: Local AI Coding Setup: Free Claude-Like Agent (Ollama + VS Code) How to get: Follow me MUST (so I can dm you) Like + RT Comment "Code"