Best of YouTube — 2025

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Video
YouTube·1y
I was bad at Data Structures and Algorithms. Then I did this.
Andrew shares a detailed roadmap on how he learned data structures and algorithms from scratch. Despite not having a computer science degree, he self-taught these concepts using free online resources and various courses, and now works as a software engineer. He emphasizes the importance of Big O notation, recommends resources like YouTube tutorials and certain books, and advises on practical coding practice with platforms like CodeWars and LeetCode. He also suggests using ChatGPT for additional help and maintaining a fun and consistent learning approach.
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2
Video
YouTube·1y
Build Everything with AI Agents: Here's How
David Andre demonstrates how to build AI agents even for beginners using n8n, a no-code automation tool. He details the process of setting up triggers, integrating Telegram, and handling both text and voice messages. By adding tools such as Gmail and Google Calendar, he shows how to create powerful AI agents capable of automating various tasks. He also highlights the value of continuous testing and the potential productivity boosts these agents can provide.
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3
Video
YouTube·1y
System Design was HARD until I Learned these 30 Concepts
To advance from a junior developer to a senior engineer or secure a high-paying job at a big tech company, mastering system design is crucial. Understanding core concepts like client-server architecture, DNS, HTTP, APIs (REST and GraphQL), databases (SQL and NoSQL), and scaling techniques (vertical and horizontal scaling, caching, and load balancing) are fundamental. The post outlines these critical concepts and offers real-world examples to help in designing scalable, reliable systems.
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4
Video
YouTube·1y
Full Course (Lessons 1-10) AI Agents for Beginners
This introductory course on AI agents covers the fundamentals of building AI agents from concept to code. Key topics include language models, memory, and tools to perform tasks. The course includes video lessons, code samples, and covers agentic frameworks such as semantic kernel and Microsoft’s autogen. Practical examples, including setting up and interacting with AI agents using Jupyter notebooks, are provided.
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5
Video
YouTube·50w
Google's Git Killer Is INSANELY Better (and it's open source)
Explore how JJ, a new version control system written in Rust, offers a fresh approach to version control. Backed by experts and featuring advanced functionalities like automatic rebase, JJ simplifies complex tasks such as branching, merging, and resolving conflicts. With support for familiar commands, JJ promises a more efficient workflow while maintaining compatibility with Git as its underlying database.
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Video
YouTube·1y
How to Start LeetCode from ZERO in 2025
LeetCode remains essential for coding interviews at major tech companies like Amazon, Google, and Microsoft. To start effectively, focus on understanding basic data structures and algorithms, and practice solving problems consistently. Start with easy problems and gradually tackle medium-level ones. Utilize available resources, avoid rushing through problems, and learn from each solution. Consistent practice and revisiting old problems help retain knowledge and improve problem-solving skills.
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7
Video
YouTube·47w
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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8
Video
YouTube·1y
understand ANY programming project (from an open source maintainer)
Working on unfamiliar open source projects can be tricky. Here are some tips to understand and contribute effectively: get proficient with debugging tools, use tests to understand functionality, rely on search functions to find key parts of the code, and draw mind maps to visualize data flow and relationships. Additionally, look at how functions are used in other projects if documentation is lacking.
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Video
YouTube·1y
Cancel your AI subscriptions. Wan Image2Video Is Here.
Discover how to get started with the Onean image-to-video AI model, which is open-source and can be used in ComfyUI and Swarm. The guide walks through installation steps, including updating ComfyUI, managing nodes, and downloading necessary models. Tips for using low VRAM systems and optimizing video generation resolution are also covered.
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10
Video
YouTube·1y
The ULTIMATE VS Code Setup - Extensions & Settings 2025
Enhance your VS Code workspace with the most efficient settings, themes, and 16 essential extensions to boost productivity. Customizations include interface zoom, enabling minimap, cursor animations, word wrap, and bracket pair colorization. Recommended extensions include Peacock, GitHub Copilot, Live Server, Docker, Prettier, GitLens, Import Cost, Code Runner, Remote SSH, Quokka, Live Share, Polar Code, JavaScript Code Snippets, Material Icon Theme, VS Code PDF, and Rainbow CSV.
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11
Video
YouTube·1y
Build an Enterprise Nextjs Rental App | AWS, EC2, Cognito, Shadcn, RDS, S3, Node, React
This guide walks you through building a scalable, enterprise-grade rental application using Nextjs for the frontend and Node.js for the backend, fully deployed on AWS. The application features user authentication with AWS Cognito, property search with Mapbox integration, and comprehensive dashboards for both tenants and managers. Key technologies include Redux Toolkit, Tailwind CSS, Shadcn, and AWS services like EC2, S3, RDS, and API Gateway. Detailed instructions and code samples are provided for each step to help you understand and implement the entire setup.
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12
Video
YouTube·44w
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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13
Video
YouTube·1y
8 Insane AI Agent Use Cases in N8N! (automate anything)
Explore eight diverse AI agent use cases with n8n, ranging from data analysis to creating viral shorts. Learn how AI agents can automate tasks, enhance workflows, and provide insights across various domains. This post highlights practical examples and how the AI Foundations community can help you build and implement these agents efficiently.
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14
Video
YouTube·40w
Website Hacking for Beginners | SQL Injection
A beginner-friendly demonstration of SQL injection attacks using a fake banking website. Shows how attackers can bypass login forms by manipulating SQL queries with techniques like '1=1' logic and comment injection (--). Explains the vulnerability occurs when user input isn't properly validated, allowing unauthorized access and potential data theft. Emphasizes this is one of the top three OWASP critical vulnerabilities and mentions advanced tools like Burp Suite and SQLMap for automated attacks.
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15
Video
YouTube·1y
Google's 9 Hour AI Prompt Engineering Course In 20 Minutes
Gain insights from a 9-hour Google course on AI prompt engineering in just 20 minutes with a detailed breakdown of its modules, including prompt writing, designing prompts for everyday tasks, data analysis, presentations, advanced prompting techniques, and creating AI agents. Learn the frameworks, practical examples, and the importance of iterative feedback to maximize AI efficiency.
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16
Video
YouTube·1y
Why Spring Boot is the BEST Backend Framework
Spring Boot is hailed as the superior backend framework for its built-in security, database integration, scalability, and reliability. The post criticizes other frameworks like Express.js, Django, and Ruby on Rails for their complexity, lack of built-in features, and scalability issues. Spring Boot is advocated as the practical choice for those who want a backend that works efficiently without excessive configuration or headaches.
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Video
YouTube·47w
From Zero to Your First AI Agent in 25 Minutes (No Coding)
AI agents are autonomous systems that can reason, plan, and take actions using three core components: a brain (LLM), memory for context retention, and tools for external interactions. Unlike static automations that follow predefined steps, agents dynamically adapt and make decisions. The tutorial demonstrates building a practical trail running assistant using N8N's visual interface, connecting Google Calendar, weather APIs, Gmail, and custom HTTP requests without any coding. The agent checks schedules, analyzes weather conditions, recommends appropriate trails from a personal database, and sends customized email notifications.
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18
Video
YouTube·1y
Stop Using Redis. Use Open Source Instead
Redis, a widely-used in-memory database, recently changed its license to a more restrictive model, leading to the creation of an open-source alternative, Valkey. Valkey has garnered support from tech giants like AWS, Oracle, and Google, promising to maintain the free and open-source nature of the original Redis. The post explains how to switch from Redis to Valkey and compares their features, performance, and pricing.
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YouTube·42w
How I Built It: $15K/month Mobile App
Sebastian Ro built a habit tracking mobile app called Habit Kit that generates $15,000 monthly recurring revenue. After quitting his programming job with 12 months of runway, he initially struggled but eventually found success by focusing on app store optimization, building in public on social media, and creating a simple, privacy-focused app using Flutter. The app has reached 300,000 downloads and ranks in the top 5 for habit tracker keywords across multiple countries. Key strategies included strategic keyword placement, prompt user review requests, low-budget Apple Search Ads, and authentic social media engagement.
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20
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YouTube·49w
Let's build a multi-vendor E-Commerce SaaS by using Microservice Architecture, ImageKit | part (1/3)
Learn how to build a multi-vendor e-commerce SaaS platform using microservice architecture, incorporating advanced features such as real-time analytics and custom machine learning models for recommendations. The tutorial covers authentication systems, frontend and backend setup, message brokers for handling data traffic, and integration with technologies like TensorFlow and ImageKit.
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21
Video
YouTube·43w
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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Video
YouTube·1y
The VS Code/Cursor Setup to INCREASE Productivity (2025)
Enhance your development productivity with the ultimate VS Code/ Cursor setup by optimizing settings, using effective extensions, and applying stylish themes. Discover how to make coding more enjoyable and efficient with tips on configuring the editor, organizing your projects, and utilizing powerful tools like Raycast.
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Video
YouTube·43w
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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24
Video
YouTube·42w
Everything I did to become an expert in Golang (you can do this too)
A senior ML engineer at Twitch shares his 4-year journey from Go beginner to expert, detailing practical steps including building HTTP services, CLI tools, gRPC microservices, and pipeline scripts. He emphasizes the importance of reading 'Effective Go' documentation, practicing with real projects, and recommends specific books and resources for mastering Go development, testing, and best practices.
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1
25
Video
YouTube·1y
Do this to 10x your DSA
To learn data structures and algorithms (DSA) efficiently, avoid reading comprehensive books front to back. Focus on recognizing patterns and practice regularly. Timing is crucial—if you can't solve a problem in 30 minutes, study the solution and understand it. Consistently work on at least one question daily and review multiple solutions. Choose a programming language you are comfortable with as DSA is language agnostic. Use study hacks like flashcards to remember algorithms and prioritize daily practice in the morning. Balancing DSA with other skills and activities is essential for career growth.
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