shareAI-lab/learn-claude-code
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.
Awesome AI Agents › Courses and Tutorials
rohitg00/awesome-ai-apps
Awesome AI Apps is a collection of working example applications that show how AI agents and generative AI features are assembled in practice. Unlike a link-only awesome list, each entry is a complete project directory inside the repository with its own code and setup instructions, so the list doubles as a reference implementation library. The material is organised into five sections. Starter agents are small single-purpose programs that demonstrate one integration at a time, such as a chat assistant on the OpenAI API, a Claude conversation agent, a Google model chat, a local Llama chat, a Together AI streaming chatbot, a voice-enabled assistant using ElevenLabs, and a code reviewer driven by a Claude model. Advanced agents cover multi-step reasoning workflows such as brand video monitoring and generating blog posts from video with a multi-agent pipeline. Multi-agent teams show several specialised agents cooperating on one task, for example a content creation team. The RAG section contains retrieval-augmented applications including contextual and corrective video RAG with semantic retrieval and tiered evaluation, a RAG-backed content management system, and a competitive intelligence platform. Multimodal apps combine text, images, audio and video, with examples for video analysis, sketch-to-video generation, a chatbot that accepts text, images and video, and live avatar demos. Because the examples deliberately span different stacks, readers can compare how the same idea is expressed with hosted APIs from OpenAI, Anthropic and Google, with local models, and with different agent frameworks. The repository publishes a roadmap describing a daily release cadence and a target number of applications. It suits developers who want a starting point they can copy and adapt rather than framework documentation.
https://github.com/rohitg00/awesome-ai-apps
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