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:octocat:
Code. Debug. Repeat
:octocat:
Code. Debug. Repeat
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HeyNina101/README.md 
class AIDeveloper:
    name       = "Nina"
    focus      = ["AI Architecture", "Multimodals Agents","RAG Systems"]
    ai-code    = ["Claude Opus 4.6", "GPT Codex 5.4"]
    stack      = ["Python", "LangChain","Prompt Engineering"]
    vector_dbs = ["Pinecone", "Qdrant", "pgvector"]

Python Claude OpenAI Gemini LangChain MCP RAG Streamlit Gradio Docker

Open source projects

Project ⭐ Stars Forks Issues Pull Requests
generative_ai_project Stars Forks Issues PRs
ai-agent-starter-kit Stars Forks Issues PRs
ai-agents-101 Stars Forks Issues PRs
aimin Stars Forks Issues PRs

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  1. ai-agent-starter-kit ai-agent-starter-kit Public

    A collection of expert guides and tutorials on how to build real AI agents. Includes resources from OpenAI, Anthropic, Google, and others working on production-level systems

    385 85

  2. real-world-llm-agents real-world-llm-agents Public

    Forked from Shubhamsaboo/awesome-llm-apps

    A growing repo of useful LLM agents. Based on the best open tools, expanded with working setups, simplified flows, and examples I’m exploring and improving

    Python 76 13

  3. generative_ai_project generative_ai_project Public

    A production-ready template to kickstart your Generative AI projects with structure and scalability in mind.

    895 269

  4. ai-agents-101 ai-agents-101 Public

    Learn to build powerful AI agents from scratch. This repository contains tutorials, examples, and production-ready code for implementing intelligent automation with LLMs and multi-agent systems.

    33 12