Best of YouTube — June 2025

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    Build & Sell n8n AI Agents (8+ Hour Course, No Code)

    A comprehensive 8+ hour course teaching beginners how to build and monetize AI agents using n8n, a visual no-code automation platform. The course covers setting up n8n, understanding the difference between AI workflows and AI agents, connecting to APIs like OpenAI, working with data types and JSON, and building practical automations. The instructor claims to have generated over $500,000 in revenue through AI agent development and provides step-by-step guidance for creating 15+ AI automations during the free trial period.

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    STOP Taking Random AI Courses - Read These Books Instead

    A comprehensive guide to learning AI and machine learning through structured resources rather than random courses. Covers five key areas: programming fundamentals with Python, mathematics and statistics foundations, traditional machine learning concepts, deep learning and LLMs, and AI engineering for production deployment. Emphasizes practical application over theoretical study, recommending specific books like 'Hands-On ML with Scikit-Learn and TensorFlow' and courses like Andrew Ng's specializations. Highlights the importance of understanding both foundational concepts and modern deployment practices for current AI engineering roles.

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    Claude Designer is insane...Ultimate vibe coding UI workflow

    A developer demonstrates how to customize Claude Code into a UI design tool using parallel agents, custom commands, and Git worktrees. The workflow involves creating multiple sub-agents that simultaneously generate different UI variations, allowing 10x faster iteration. Key features include claude.md for custom rules, command templates for reusable workflows, and Git worktree for managing multiple development sandboxes. The author also introduces a Cursor extension called SuperDesign that integrates these capabilities into a visual interface for UI experimentation and iteration.

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    3 Ways to Build Beautiful Websites Using Cursor AI

    Three methods to create professional-looking websites using Cursor AI: cloning existing designs by creating JSON design systems, using customizable component libraries like Shad CN UI through Tweak CN, and integrating premium React components from libraries like React Bits. The guide emphasizes being specific with AI prompts, choosing appropriate fonts and animations, and implementing responsive layouts to achieve professional results instead of generic AI-generated designs.

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    How to INSTANTLY Build An AI Agent Army in n8n with Claude

    Claude 4 Opus can automatically generate complete AI agent systems in n8n using a single prompt. The process creates a master orchestrating agent with specialized subworkflows, each equipped with relevant tools like Slack, ClickUp, and Airtable. By providing business descriptions and tool specifications, users can generate functional JSON workflows in minutes without coding. The system leverages Claude's extended thinking and web search capabilities to create valid, importable workflows with proper tool connections and error handling.

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    Full Stack AI Agent course with inngest and Gemini

    A comprehensive tutorial on building a full-stack AI agent application using Inngest for background workers and Gemini for AI processing. The application features a smart ticketing system with role-based access control, automated ticket assignment based on user skills, and AI-powered ticket analysis. Key components include user authentication with JWT, MongoDB for data storage, email notifications via background workers, and AI agents that automatically categorize tickets, set priorities, generate helpful notes, and assign them to appropriate moderators based on their skills.

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    Obsidian Bases Just Changed Everything

    Obsidian introduces Bases, a new core plugin that transforms notes into powerful databases with filtering and organization capabilities. The feature offers three key advantages: exceptional speed when handling thousands of notes, multiple views per base similar to Airtable, and embeddable views that can be inserted into other notes. Users can filter notes by properties, create custom columns, and organize information like quotes, projects, or recently modified files. While promising for data analysis and retrieval, the feature requires comfort with Obsidian properties and may shift focus from organic note-linking to structured database thinking. Currently in early access for Catalyst license holders, Bases represents a significant evolution in Obsidian's note management capabilities.

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    99% Of People STILL Don't Know The Basics Of Prompting (ChatGPT, Gemini, Claude)

    Effective AI prompting requires strategic thinking rather than simple commands. The key principles include first principles thinking to break down complex problems into core components, chain of thought prompting to build context through layered interactions, and meta-prompting to collaborate with AI in designing better prompts. Most people treat AI like a search engine, but mastering prompting as a thinking discipline involves defining clear outcomes, providing proper context, and structuring requests systematically.

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    Build and Deploy a Full Stack Movie Ticket Booking App using React js | MERN Stack Project

    A comprehensive tutorial for building a movie ticket booking application using the MERN stack. The project includes user authentication with multiple sign-up options (email, Google, phone), seat selection functionality, payment processing, and an admin dashboard for managing movies and bookings. Features include email notifications, seat reservation with timeout, multi-session authentication, and responsive design with Tailwind CSS. The tutorial covers project setup, component creation, routing, and deployment using Vercel.

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    Go just got faster..

    Go 1.25, expected in August 2025, introduces several performance improvements including the experimental Green Tea garbage collector promising 10-40% reduction in GC overhead, a new JSON v2 package that's 2.7-21x faster than the current implementation, DWARF version 5 debug information for faster compilation, and enhanced address sanitizer with leak detection. These features are currently experimental and require build-time flags to enable.

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    Stitch AI: Google's New FREE AI Tool Creates Stunning UI In A Single Click!

    Google launched Stitch AI, a free beta tool that generates UI designs for mobile and web apps from text prompts. Users can describe their desired interface, and the AI creates multiple screens within seconds. The tool supports theme customization, direct Figma integration, and experimental image-based design generation. Stitch allows iterative editing through conversational prompts and exports designs directly to Figma for further development.

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    All the open source software i use in 2025!

    A comprehensive overview of open source software tools used in 2025, covering operating systems, virtualization, networking, monitoring, backup solutions, and productivity applications. The content explores Linux as a desktop OS, Proxmox for virtualization, Netbird for VPN, Home Assistant for automation, NextCloud as a Microsoft 365 alternative, and various other self-hosted solutions for personal and business use.

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    How to Clone ANY Web App in Minutes Using AI (No Coding Needed!)

    A step-by-step guide demonstrating how to clone web applications using AI tools without writing code. The tutorial covers using Lovable AI to generate app structure from screenshots, integrating Supabase for backend functionality, securing API keys, adding authentication, and publishing the final application online. The example shows cloning a text-to-speech application similar to ElevenLabs, complete with user login, database storage, and custom features.

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    How to Build AI Agents in n8n for Beginners! (Full n8n Guide)

    A comprehensive beginner's guide to building AI agents using n8n, covering the fundamentals of workflow automation, the difference between automations and agents, and hands-on tutorials for creating weather reporting agents. The guide walks through setting up triggers, actions, HTTP requests, code nodes, and integrating AI models with tools like OpenAI and Gmail to create dynamic, conversational agents that can perform tasks and access external data sources.

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    How I Built An App That ACTUALLY Makes Money In Just 93 Days

    A college student built Empor, a student-exclusive marketplace app, in 93 days using React Native, Supabase, and Stripe. The app launched at McGill University with features like Tinder-style browsing, integrated payments, and social elements. Within a week of launch, it gained 866 users and generated $1,600 in transactions. The developer shares the complete tech stack, development process, and lessons learned while building a profitable mobile app from scratch.

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    Zig is better than Rust (sometimes)

    A detailed comparison highlighting specific areas where Zig excels over Rust, including optional handling with the `orelse` keyword, undefined behavior management, simpler module systems, streamlined variable declarations, safer pointer handling with alignment tracking, powerful `comptime` features for compile-time code generation, seamless C interoperability, and better allocator systems. The author emphasizes that both languages are powerful but Zig offers more ergonomic solutions in certain scenarios.

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    Build Your First AI Agent in 30 Minutes (No Coding)

    A step-by-step tutorial demonstrating how to build AI agents using Make.com without coding experience. The guide covers creating a personal assistant agent that can plan daily schedules by accessing Google Calendar, summarize and reply to emails through Gmail integration, and answer general questions using Google's Gemini AI. The tutorial shows how to set up scenarios with drag-and-drop functionality, create Telegram bot interfaces, use routers for conditional logic, and integrate multiple tools into a single AI agent capable of handling various tasks.

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    Build Your Own AI Agent in ONE Prompt! | Deep Agent (Full Tutorial & Demo)

    Deep Agent by Abacus AI enables users to create fully functional AI applications using just natural language prompts, requiring no coding skills or API keys. The platform can generate complex apps like fitness trainers, contract analyzers, or recipe generators through a single prompt interface. Users can customize their agents through clarifying questions, preview the results, download source code, and deploy to production. The demo shows building a comprehensive fitness app with user profiles, workout plans, progress tracking, and custom illustrations.

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    Angular v20 Developer Event 2025

    Angular v20 introduces major stability improvements with signals-based APIs graduating to stable, zoneless change detection moving to developer preview, and incremental hydration becoming production-ready. Key features include a new resource API for async operations, enhanced developer tooling with Chrome DevTools integration, improved type checking for host bindings, and experimental support for Vitest. The release also introduces AI integration resources at angular.dev/ai and removes webpack dependencies to reduce bundle size by 40%.

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    This Laptop Runs LLMs Better Than Most Desktops

    The Asus Flow Z13 2025 with AMD's Ryzen AI Max Plus 395 APU can run 110 billion parameter LLMs thanks to its 128GB of unified memory, outperforming many desktop setups. The APU combines CPU and GPU on a single chip, allowing the GPU to access large amounts of shared memory. However, unlike Apple's true unified memory architecture, AMD's implementation requires pre-allocating memory between CPU and GPU at boot time. Performance testing shows that manual memory allocation settings significantly outperform auto settings, with 16GB GPU allocation often providing optimal results. The system's 235 GB/s memory bandwidth enables competitive performance against Apple Silicon, though the memory copying process during model loading reveals architectural limitations compared to true unified memory systems.

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    CI/CD Pipeline Explained in 1 Minute | Learn DevOps with Real-Life Example

    A brief introduction to CI/CD pipelines and DevOps concepts, covering continuous integration and continuous deployment fundamentals for software development workflows.

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    How I’d Learn AI in 2025 (If I Could Start Over)

    A comprehensive roadmap for learning AI in 2025, starting with foundational mathematics (linear algebra, calculus, probability) and Python programming. The guide covers essential data science libraries (NumPy, Pandas, Matplotlib), then progresses through machine learning concepts including supervised learning (regression, classification algorithms), unsupervised learning (clustering), and reinforcement learning. It explains neural networks, deep learning architectures, and modern generative AI including transformers and large language models. The content includes practical learning resources like Khan Academy, Free Code Camp, and specific YouTube channels for hands-on implementation.

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    Prompt Engineering Guide - From Beginner to Advanced

    A comprehensive guide covering prompt engineering techniques from basic to advanced levels. Explores key concepts like zero-shot, few-shot, and chain-of-thought prompting, along with model settings such as temperature, top-K, and top-P. Demonstrates practical techniques including role prompting, step-back prompting, self-consistency, tree of thoughts, and ReAct (reason and act) frameworks. Includes hands-on examples using Google AI Studio and various AI models, plus best practices for optimizing prompt effectiveness and model performance.

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