Agentic Coding Masterclass: Build a Multi-Role AI Agent from Scratch (Python & LangGraph)
Welcome to the ultimate masterclass on Agentic coding and building reliable AI agents. As a software engineer with years of programming experience, I want to show you exactly how to transition from traditional development to mastering Agenting AI.
In this complete tutorial, we are building a fully functional "Super Agent" that can autonomously code, review, and design a complete website from a single prompt. We will dive deep into the architecture of multi-agent systems using Python, Generative AI, LangGraph (as our supervisor engine), LangChain, Ollama for local LLM deployment, and Stability AI for image generation.
Whether you are looking to automate your workflow, understand deterministic vs. probabilistic AI outputs, or establish your skills in the cutting-edge field of AI agents, this video covers every single step. From setting up your VS Code workbench and securing API keys to creating state-shared clipboards and writing supervisor nodes—you will leave this video with a working, production-ready AI system.
Resources & Links:
GitHub Repository: https://github.com/GeekatplayStudio/ai-sup...
VS Code: https://code.visualstudio.com/
Python: https://www.python.org/
Ollama: https://ollama.com/download/windows
Video Chapters
00:00 Introduction to Agentic Coding & Workbench Setup
02:01 Python Virtual Environments & Troubleshooting
04:44 Installing LangGraph, LangChain & Core Dependencies
07:06 Securing API Keys for Generative AI
08:08 Understanding State Management in Agenting AI
09:58 Building Custom Tools for Your AI Agent
12:00 Creating Specialized Agents (Designer & Reviewer)
15:04 Programming the LangGraph Supervisor Engine
16:31 Implementing a Human Gatekeeper
22:30 Running, Debugging, and Testing the Multi-Agent System
24:40 Automating GitHub Commits & Documentation with AI
Welcome to V-Code, the blueprint for the next era of software development.
Coding is no longer just about writing syntax; it is about orchestrating autonomous AI agents. On this channel, we break down the architecture of agentic workflows, multi-role systems, and visual node-based logic. Whether you are setting up planning and coding agents, writing strict Product Requirement Documents (PRDs) for AI, or building complex generative pipelines, V-Code provides the technical schematics you need.
About the Channel:
Hosted by Vladimir Chopine, V-Code bridges high-level software engineering with premium visual production. Drawing on an extensive background building generative AI workflows, developing custom nodes, and 45 years of professional cinematography, V-Code steps away from traditional screen-recordings. Here, deep technical orchestration meets retro-futuristic, cinematic presentation.
Connect & Learn More:
🌐 Official Website: https://www.vcode.com
▶️ Also check out my other projects at @geekatplay
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Tools & Frameworks Frequently Covered:
AutoCoder.cc, ComfyUI, Multi-Role System Support, Node-Based Logic, AI Quality Control Agents.
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