Awesome AI Agents › Courses and Tutorials
Awesome-Vibecoding-Guide is a documentation repository, not a piece of software. It collects a practitioner playbook for making money with AI-assisted development, written from the author's commercial projects. The material is organized around three revenue streams: building websites for local businesses, selling AI automations to clients, and upselling small micro-SaaS tools to existing customers. Each stream has its own playbook covering the business model, pricing, client acquisition, delivery procedures and scaling. The parts relevant to agentic development sit in the cross-cutting sections. A delivery-system chapter describes a phased workflow with git safety practices, quality standards for accessibility, SEO and performance, a prompting guide for communicating with coding agents, and troubleshooting advice for when generated code goes wrong. A tooling chapter surveys agentic coding CLIs including Claude Code, AMP, OpenCode and Antigravity, the Zed editor, requirement-document generation, model providers, and a short list of MCP servers such as Context7, browser DevTools, sequential thinking, task management and component scaffolding. A tech-stack chapter settles on Astro, Tailwind and Cloudflare hosting with Workers, D1, KV and R2, and an appendix adds cheat sheets, a glossary and contribution notes. The stated position is that technique matters more than which model sits behind the agent, so the guidance is aimed at getting usable output from inexpensive models. Readers should note that the guide is monetized: several tool recommendations carry the author's referral links, so treat vendor choices as opinions rather than neutral evaluation. It suits freelancers and small studios who already use coding agents and want a process and pricing framework around them.
https://github.com/ClavixDev/Awesome-Vibecoding-Guide
A comprehensive guide and resource hub for prompt engineering, context engineering, retrieval-augmented generation, and AI agents, offering tutorials, papers, tools, and courses to optimize the use of large language models.
Learn Claude Code is an educational project that teaches how to build modern AI coding agents like Claude Code through a progressive tutorial covering core concepts, planning, subagents, and skills mechanisms.
AI Engineering Hub is a comprehensive repository offering in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for learners and practitioners.
The Hugging Face Agents Course is a comprehensive educational resource that teaches the fundamentals and advanced concepts of AI agents and large language models through structured units, practical frameworks, and community collaboration.
GenAI_Agents is a comprehensive repository offering tutorials, implementations, and community resources for building and advancing generative AI agents from basic to advanced levels.
This course provides a comprehensive project-based tutorial on Harness Engineering for building reliable AI coding agents, covering environment setup, state management, verification, and control.
An AI-powered tool that analyzes GitHub repositories and generates beginner-friendly tutorials with visualizations to simplify understanding complex codebases.
A comprehensive guide to prepare for machine learning and AI technical interviews at major tech companies, covering coding, ML fundamentals, system design, and behavioral aspects.