Feb 24
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In this video, I vibe-code a real AI Coding Reviewer Agent using the AutoGen framework and a locally running LLaMA 3 model—no OpenAI, no cloud APIs. You’ll learn how to design multi-agent AI systems where agents collaborate like a real engineering team. We build multiple AI agents from scratch: a Senior Code Reviewer, a Refactor Agent, and a Test Case Generator, all orchestrated using AutoGen’s GroupChat and Agent Manager. I also explain the core architecture of AutoGen, how agent conversations work, and why this approach is different from simple prompt chaining. This video is perfect for developers interested in AI agents, local LLMs, AutoGen, vibe coding, and practical GenAI projects you can actually use in real-world workflows. 👉 Watch till the end to understand how agentic AI systems are built. #AIAgents #AutoGen #Llama3 #LocalLLM #VibeCoding #GenerativeAI #AIForDevelopers #OpenSourceAI #AIEngineering #AgenticAI --------------- Links: Run Ollama with Llama3 Locally: https://www.youtube.com/watch?v=nBq9UXIAY8A Vibe Coding Sessions: https://www.youtube.com/playlist?list=PL9iLtz3CXQMtiOpXBrbeAijh2pL8_nKBI Full Learn AI Playlist: https://www.youtube.com/playlist?list=PL9iLtz3CXQMuXYz8e1uirPsau7rZNIXMw Stay Connected: https://www.linkedin.com/in/gauravbehere/ --------------- Timestamps 00:00 - Intro 00:49 - Why AutoGen? 01:46 - Basics of AI Agents 02:26 - AutoGen Architecture 03:00 - The Project We Are Building Today 03:40 - Difference Between AutoGen, CrewAI & LangGraph 04:15 - Understanding AutoGen 04:56 - Vibe Coding The Project 13:10 - Troubleshooting 14:22 - Running The Project 16:36 - Next Improvements 16:46 - Outro --------------- For collaborations, ad placements, suggestions or feedback, reach out to coderashwithgaurav@gmail.com --------------- Search keywords: AI agents, AutoGen, AutoGen framework, AI coding agent, AI code review, AI code reviewer, LLaMA 3, Llama3 local, local LLM, local AI agents, multi agent system, agentic AI, AI for developers, generative AI coding, AI software engineering, vibe coding, build AI agents, open source AI, offline AI, local AI development, AutoGen tutorial, AutoGen agents, AutoGen python, AutoGen group chat, AutoGen vs langchain, AutoGen vs crewAI, AI agent architecture, multi agent AI tutorial, AI code analysis, AI refactoring tool, AI test case generator, AI unit test generation, AI programming assistant, AI developer tools, AI coding tools, LLM agents, large language model agents, LLM orchestration, AI orchestration framework, AI workflow automation, AI system design, AI architecture, AI backend development, AI engineering tutorial, build AI tools, build AI apps, GenAI projects, generative AI projects, practical AI projects, AI coding demo, AI live coding, AI programming tutorial, Python AI agents, Python AutoGen, Ollama LLaMA 3, Ollama tutorial, run LLaMA locally, local LLaMA tutorial, offline LLM tutorial, open source LLMs, AI without OpenAI, AI without cloud, private AI, enterprise AI agents, AI for code review automation, AI PR review, GitHub AI agents, AI DevOps tools, AI testing automation, AI code quality, AI code optimization, AI software review, AI senior engineer agent, AI refactor code, AI debugging agent, AI bug fixing agent, autonomous AI agents, collaborative AI agents, conversational AI agents, AI agent framework comparison, LangChain alternative, CrewAI alternative, AutoGen use cases, AutoGen examples, AutoGen project, AutoGen demo, AI agent tutorial for beginners, advanced AI agents, AI developer productivity, AI coding workflow, AI automation for developers, AI engineering roadmap, future of AI agents, agent based AI systems, multi LLM agents, local AI stack, AI tooling ecosystem, AI trends 2025