Coding tutorials, software development, and CS concepts
Notion Workers enable custom automations and external data integrations through code, but this tutorial demonstrates how AI tools like Claude Code and Codex allow non-developers to build and deploy three functional workers without traditional programming knowledge.
This crash course introduces Claude Code as Anthropic's agentic coding tool that runs locally in your terminal or VS Code, covering installation, pricing tiers, model selection strategies, and a developer-focused workflow emphasizing diff review and context management over simple prompting.
This tutorial demonstrates how to build a production-ready AI agent inspired by OpenClaw using Next.js and the Vercel AI SDK, integrating Composio for external tool access and Supermemory for persistent conversation learning, all deployable via Vercel with AI-assisted development in Cursor.
This tutorial demonstrates how to build production-ready AI agents in Python using the open-source Agent Span framework, addressing critical challenges like crash recovery, observability, and scaling while implementing three functional agents: conversational, RAG-based, and multi-agent orchestrator.
This tutorial demonstrates how to build a self-healing CI/CD pipeline that leverages N8N and OpenAI to automatically detect build failures, analyze error logs, generate code fixes, and open pull requests without manual intervention.
This tutorial demonstrates how to set up a complete local agentic coding workflow using free tools, selecting appropriately-sized Qwen models based on your hardware's VRAM constraints to eliminate cloud AI subscription costs while maintaining full coding capabilities offline.
Anna Kubo demonstrates how to bypass common web scraping obstacles like CAPTCHAs and bot detection by using the SER API to extract structured data from Google Search, YouTube Shorts, and Google Lens with minimal code.
Hermes Agent is a self-learning AI assistant framework that autonomously manages tasks like email and scheduling through 24/7 cloud deployment, featuring automatic skill generation and multi-LLM support, though it requires strict security protocols to prevent financial and data risks.
This comprehensive Docker course establishes containerization as essential infrastructure knowledge for modern IT roles, teaching practical deployment skills from basic images to multi-container orchestration using hands-on AWS cloud labs.
Anna Kuber demonstrates how to build a production-ready AI agent using Node.js and OpenAI that automatically researches new Slack community members, calculates business fit scores using GPT-4, and stores results in PostgreSQL on Render.
This comprehensive course teaches full-stack web scraping using Python and the MERN stack, demonstrating how to bypass sophisticated bot detection on high-value targets like Amazon and the TIOBE index using Evomi's specialized infrastructure including residential proxies and scraping browsers.
This tutorial demonstrates how to build production-grade AI applications using "AI-native" development, where AI agents autonomously configure complex backend infrastructure (authentication, vector databases, cron jobs) through natural language commands using Cursor and InsForge, enabling developers to deploy scalable RAG applications without manual backend coding.