zenik

Our engineering team just made a tutorial on "How to Ship Code with Ralph Wiggum" We're offering it for free to the first 1000 developers. You can comment "Ralph" to get access. For those who don't know... Ralph Wiggum is an autonomous AI coding loop created by Geoffrey Huntley that ships features while you sleep. Yes, literally while you sleep. It runs Amp Code (or your agent of choice) repeatedly until all tasks are complete. Each iteration gets a fresh context window, keeping threads small and focused. Memory? That persists through git history and text files. The tutorial covers everything from setup to running it! P.S. I've published 10+ such tutorials on Claude Code and Coding Agents, you can get them here: https://lnkd.in/dcibJhzQ

🚨 Engineers: Don't stack 100 tutorials to learn AI Agents, just start with these 10 projects. We're giving away this guide at no cost to first 1000 developers. This list is curated by my engineers who actually build production ready agents. Comment "Agent" or DM me to get your guide. Here's the list of projects: > Vibe Code a Complete App with Lovable > Build a Web App with Claude Code > Build a Mobile App with Cursor and Expo > Your First LLM Integration (ChatGPT wrapper) > Document Q&A with RAG > The ReAct Agent Loop From Scratch > Build an MCP Server > Calendar and Email Agent > Proactive Agent with Triggers > Production Agent with Observability P.S. I've shared 10+ AI Agents & Claude Code Guides here: https://lnkd.in/dcibJhzQ

🚨 Dear Software Engineers: Stacking 100 tutorials won't help you learn RAG, these 10 projects will Let's dive deeper: P.S. Also, you can now join 150K+ engineers from Google, OpenAI and Anthropic, to get early access such resources: https://lnkd.in/dcibJhzQ Document Analysis with LLMs → Process PDFs instantly → Extract key insights → https://lnkd.in/dvPehYtB First RAG System → Build from scratch → No frameworks needed → https://lnkd.in/dRq4NnCm IBM RAG Guided → Step by step → Production patterns included → https://lnkd.in/dgTz_Av6 -- Advanced Techniques -- GraphRAG Pipeline → Knowledge graph retrieval → Smarter context understanding → https://lnkd.in/dNmynkGZ Multi Document RAG → Query across sources → Unified retrieval logic → https://lnkd.in/dEj8478y Agentic RAG Pipeline → Autonomous decision making → Tool calling integrated → https://lnkd.in/gXWsJYXT Real Time Assistant → LangChain powered system → Live data retrieval → https://lnkd.in/gbHjG7Df AI Research Agent → Automate paper analysis → Smart summarization built-in → https://lnkd.in/dec__v4e Multimodal RAG System → Text and images → IBM guided tutorial → https://lnkd.in/d6UwUX3z LangChain RAG Agent → Production ready architecture → Memory and tools → https://lnkd.in/drdmzwg6

These 25 GitHub Repos cover most of your needs for AI Agent Development. Here's the list: [ P.S. I also recently published 2 guides on Claude Code (Hacks + Tips), first 1000 developers can get it here: https://lnkd.in/dcibJhzQ ] 1. awesome-generative-ai 🔗 https://lnkd.in/di7GyyHC 2. ai-agents-for-beginners 🔗 https://lnkd.in/dkipGbMH 3. RAG_Techniques 🔗 https://lnkd.in/dF39g32N 4. GenAI_Agents 🔗 https://lnkd.in/d8fCA-vR 5. AI-ML-Roadmap-from-scratch 🔗 https://lnkd.in/dqFUJtnz 6. Hands-On-Large-Language-Models 🔗 https://lnkd.in/dvr5bYrM 7. Prompt-Engineering-Guide 🔗 https://lnkd.in/dqb9ZbxY 8. Awesome MCP Servers - 🔗 https://lnkd.in/dqYCyRgA 9. 1000+ Pre-Built AI Agents - 🔗 https://lnkd.in/dV_iYy7Y 10. Agents towards Production -  🔗 https://lnkd.in/dPg-sRjx 11. Hands-On AI Engineering 🔗 https://lnkd.in/gDM7VWcu 12. LLM Course 🔗 https://lnkd.in/gUPJmWNM 13. 500+ Real Life AI Agent Use-Cases 🔗 https://lnkd.in/dB2Gc4wZ 14. Context Engineering A to Z 🔗 https://lnkd.in/dYbWs98p 15. ML-For-Beginners 🔗 https://lnkd.in/dFTZ948h 16. Neural Networks -zero-to-hero 🔗 https://lnkd.in/damcrQSj 17. awesome-computer-vision 🔗 https://lnkd.in/dggUKQJW 18. awesome-nlp 🔗 https://lnkd.in/dymJrdsB 19. awesome-datascience 🔗 https://lnkd.in/dK3KRBAU 20. all-rl-algorithms 🔗 https://lnkd.in/dtHcpfdB 21. awesome-rl 🔗 https://lnkd.in/d2_tSh7j 22. Made-With-ML 🔗 https://lnkd.in/dEJnEQQq 23. Awesome LLM Apps -  🔗 https://lnkd.in/dy787uBj 24. Awesome AI Apps -  🔗 https://lnkd.in/dzrz9egj 25. Agents MD 🔗 https://lnkd.in/d2HkeDJ2

🚨 BREAKING: MIT just mass released their AI library for free. I went through these and honestly... this is better than most paid courses I've seen. Moreover, 150K+ Engineers are getting these news at first hand over here: https://lnkd.in/dcibJhzQ Here's the full list of books: 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 1. Foundations of Machine Learning Core algorithms explained. Theory meets practice. https://lnkd.in/dHtqbQMH 2. Understanding Deep Learning Neural networks demystified. Visual explanations included. https://lnkd.in/dDPkqd7g 3. Machine Learning Systems Production-ready architecture. System design principles. https://lnkd.in/dkiGZisg 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 4. Algorithms for ML Computational thinking simplified. Decision-making frameworks. https://algorithmsbook.com 5. Deep Learning The definitive textbook. Covers everything deeply. https://lnkd.in/dHp5PgPS 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 6. RL Basics (Sutton & Barto) The classic. Agent training fundamentals. https://lnkd.in/dH9ap59P 7. Distributional RL Beyond expected rewards. Advanced theory. https://lnkd.in/d4eNP-pe 8. Multi-Agent Systems Agents working together. Coordination and competition. https://marl-book.com 9. Long Game AI Strategic agent design. Future-focused thinking. https://lnkd.in/dpc6a3-6 𝗘𝘁𝗵𝗶𝗰𝘀 & 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 10. Fairness in ML Bias detection. Responsible AI practices. https://fairmlbook.org 11. Probabilistic ML (Part 1) https://lnkd.in/dB-ZnwaH 12. Probabilistic ML (Part 2) https://lnkd.in/dBmnsv_9 Most people pay thousands for bootcamps that teach half of this. Bookmark it. Start anywhere. Just start.

I think developers who don't use Claude Code are falling behind. Here's everything you need to get started: Newsletters: 1. THE CODE https://lnkd.in/e64Jvdrt 2. Every https://lnkd.in/dVz9zafv 3. JP https://lnkd.in/d48UYbzZ 4. Joe Njenga https://lnkd.in/diYv-GuA 5. Why Senior Engineers Who Master Claude Code Will Leave Their Competition Behind https://lnkd.in/dNQviZNA 6. A Guide to Claude Code 2.0 and getting better at using coding agents https://lnkd.in/dpbgawUQ Long Courses: 1. Claude Code: A Highly Agentic Coding Assistant https://lnkd.in/dF6XyF4w 2. Claude Code in Action https://lnkd.in/dCgmg2va 3. Claude Code for Everyone https://lnkd.in/dXQ5U9d8 4. Claude Code: Software Engineering with AI Agents https://lnkd.in/dj5KPMUd Github Repos: 1. Claude-code-cheat-sheet https://lnkd.in/dhW5b8eB 2. Claude-code-template https://lnkd.in/dgmqrp5y 3. Awesome-claude-skills https://lnkd.in/dxUMKSPR 4. Awesome-claude-code-subagents https://lnkd.in/dwabN-VX 5. Awesome-mcp-servers https://lnkd.in/dfqS3ZRp 6. Claude-code-workflows https://lnkd.in/dS7QFU4V 7. Vibe-coding-playbook https://lnkd.in/d3xqXDZr Youtube Tutorials: 1. Claude Code Setup and Installation https://lnkd.in/dhK5tKNy 2. Claude Code is crazy good in 2026 https://lnkd.in/daXHQrWj 3. My Claude Code Workflow for 2026 https://lnkd.in/dVPdn3G6 4. Claude Code Skills: Automate Everything You Do https://lnkd.in/d7ah3v6C 5. Build with Multiple AI Agents using Claude Code https://lnkd.in/d-ez3kAH 6. Build an AI Life Co-Pilot with Claude Code https://lnkd.in/dxZ3BFaZ Creators to Follow: 1. Ray Amjad https://lnkd.in/dGpuZEBD 2. Joe Njenga https://lnkd.in/dWjU-rw8 3. Daniel Avila https://lnkd.in/dErqFxDx 4. Alex Finn https://lnkd.in/dhnN8arU 5. Thariq https://x.com/trq212 6. Boris Cherny https://x.com/bcherny Check out my profile for more such resources 👉

I've built and sold 60+ AI Agents that are live in production And I compiled all my learnings for AI Engineers in this guide (worth $500) But I'm willing to give it away for free to readers who're willing to connect with me personally and share ideas about what they are building currently. Here's how to get this guide - 1. Comment "Guide" 2. Send me a connection request 3. I'll DM you with the link to the guide 4. And I'd love to hear what AI Agents you are building EDIT: You can get all my tutorials including this guide + 100 Claude Code Hacks via email here: https://lnkd.in/dcibJhzQ

No other engineering blog teaches what these 15 do. Bookmark this list (with links) : 1 → THE CODE Scale at global level. Teaches you how to code with AI and AI Agents https://lnkd.in/dcibJhzQ 2 → Airbnb Tech Blog Product engineering done right. User focused systems. https://airbnb.tech/blog/ 3 → Meta Engineering Billions of users infrastructure. Performance at extreme scale. https://engineering.fb.com 4 → AWS Architecture Cloud design patterns revealed. Production ready blueprints. https://lnkd.in/gqjh88PS 5 → Netflix TechBlog Streaming at massive scale. Chaos engineering explained. https://lnkd.in/gNE8Cs6Z 6 → Discord Engineering Real time systems mastery. Handling millions of connections. https://lnkd.in/gea6kSwt 7 → Google Research Cutting edge tech breakthroughs. Tomorrow's solutions today. https://lnkd.in/gjzDu8wp 8 → NVIDIA Developer GPU powered computing insights. AI infrastructure secrets. https://lnkd.in/dt_BW7qF 9 → Slack Engineering Collaboration platform internals. Distributed systems at scale. https://slack.engineering 10 → Cloudflare Blog Internet infrastructure deep dives. Security and performance wins. https://lnkd.in/gqa-HE6h 11 → Figma Tech Blog Collaborative design systems. Browser performance magic. https://lnkd.in/g2KF_eX9 12 → Shopify Engineering E-commerce at scale. Black Friday traffic handled. https://lnkd.in/g7DVzRAc 13 → Stripe Engineering Payment systems that work. Financial infrastructure explained. https://lnkd.in/gfMr-jEr 14 → Microsoft Engineering Enterprise scale solutions. Developer tools insights. https://lnkd.in/g3Mi8XES 15 → GitHub Engineering Code collaboration at scale. Developer platform secrets. https://lnkd.in/gPHaD6AC 16 → Bonus System design deep dives. https://lnkd.in/g-tP7eEc Save this for later. Repost ♻️ for aspiring engineers. Check my profile for more resources on AI 👋

I've seen a $100K AI projects die. Not because of bad models. Because of missing layers. Everyone's talking about Agentic AI. Few actually know what it's made of. So here's the full anatomy. No fluff. Just the stack. ( P.S. Every week I explain such complex engineering concepts to engineers here: https://lnkd.in/dcibJhzQ) Let's start: 🔵 Foundation: AI & ML This is where data becomes decisions. > Supervised learning trains models on labeled examples. > Unsupervised learning finds hidden patterns without labels. > Reinforcement learning lets agents learn through trial and reward. > NLP helps machines understand human language. 🟢 Engine: Deep Learning This is where patterns emerge at scale. > Transformers power modern language understanding. > Attention mechanisms help models focus on what matters. > CNNs extract features from images and spatial data. > Transfer learning reuses knowledge across different tasks. 🟡 Creation: Generative AI This is where new content gets created. > LLMs generate human-like text and reasoning. > RAG pulls external knowledge to ground responses. > Multimodal models handle text, images, audio, and video together. > Prompt engineering shapes how models respond. > Hallucination mitigation keeps outputs factually grounded. 🟠 Execution: AI Agents This is where AI starts acting autonomously. > Planning frameworks like ReAct and CoT break down complex tasks. > Tool use lets agents interact with external systems. > Context management tracks conversation state and history. > Memory systems store information short-term and long-term. > Human-in-the-loop keeps humans in control of critical decisions. 🔴 System: Agentic AI This is where everything comes together... or falls apart. > Multi-agent coordination lets multiple agents work as a team. > Governance and guardrails define boundaries and rules. > Observability and tracing answer "why did it do that?" > Rollback mechanisms let you reverse bad decisions. > Cost management keeps resource usage under control. Here's what most people miss... Layers 1-3 are the science. Layers 4-5 are the engineering. You can have the smartest model. But without orchestration, observability, and guardrails? You've got an expensive experiment. Not a system. Pic credits: Luís

If you're an AI Engineer or want to get into it, these are your weapons. I share more such tutorials and resources here: https://lnkd.in/dcibJhzQ This roadmap takes you from basics to building real AI systems: 1️⃣ Foundation Phase: Microsoft ML Beginners https://lnkd.in/dDtXCcRd - 12 week curriculum - Real world datasets - Hands on projects Microsoft AI Beginners https://lnkd.in/d_7amH7G - Neural networks basics - Computer vision fundamentals - Built with PyTorch Karpathy Neural Networks https://lnkd.in/dvW24stk - Build from scratch - Modern deep learning - GPT architecture explained --- 2️⃣ Deep Dive Phase: Deep Learning Papers https://lnkd.in/dPkpvxTj - 60 plus implementations - Transformers and GANs - Production ready code Made With ML https://lnkd.in/dRWvUnv8 - Notebooks to production - MLOps best practices - Deploy real systems --- 3️⃣ LLM Specialization: Hands on LLMs https://lnkd.in/dn5eSBv9 - Tokenization to deployment - Fine tuning techniques - RAG systems explained Advanced RAG Techniques https://lnkd.in/dQwddMsv - 30 plus methods - Speed and accuracy - HyDE and GraphRAG --- 4️⃣ Agent Building: Microsoft AI Agents https://lnkd.in/dn4BJPGH - AutoGen framework basics - Build intelligent agents - Beginner friendly course Agents to Production https://lnkd.in/duZbAzUJ - Memory and orchestration - Security and deployment - Real world playbook AI Engineering Hub https://lnkd.in/dcfcZZ58 - 70 plus projects - Ready to ship - Real world examples Python knowledge assumed. This roadmap gets you building  production AI systems. Bookmark for later.