About Zazencodes Season 2
Zazencodes Season 2 is an MCP server published by zazencodes in the Developer Tools category: youTube video source code for Season 2: AI Engineering.
The repository has 68 stars and 29 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
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README
ZazenCodes YouTube - Season 2
🧘 Author: Alexander Galea
🎓 Learn AI Engineering: zazencodes.com
📧 Newsletter: Weekly email with new video
📑 Table of Contents
- 🤖 AI Development Tools & Frameworks
- ⚖️ Model Comparisons & Testing
- 🔗 MCP (Model Context Protocol)
- 🎯 Specialized AI Applications
- 📊 Data Engineering & Analytics
- ⚡ Productivity & Workflows
- 🚀 Career & Industry Insights
🤖 AI Development Tools & Frameworks
🛠️ Terminal LLM Tricks
The awesome power of an LLM in your terminal
Transform your terminal into an AI-powered workspace with the llm CLI tool. Learn command-line assistance, code documentation, debugging, and boilerplate generation.
📁 Source Code: src/terminal-llm-tricks
🔧 Technologies: Python, OpenAI API, CLI Tools, Shell Scripting
🧠 AI Scientific Research Agent
I built an AI physics agent that drafts research papers
Build autonomous AI agents that conduct research, read papers, and generate LaTeX documents using LangGraph and ReAct patterns.
📁 Source Code: src/ai-scientific-research-agent
🔧 Technologies: LangGraph, ReAct, LaTeX, arXiv API, Claude Sonnet
Learn How to Build Tool-Calling Agents with LangGraph
Deep dive into LangGraph's low-level implementation for building ReAct agents with tool calling, checkpointing, and memory.
📁 Source Code: src/ai-scientific-research-agent
🔧 Technologies: LangGraph, Tool Calling, Ollama, State Management
📝 DSPy Framework Tutorial
DSPy Tutorial — Master 5 Real‑World Use Cases
Master declarative prompt programming with DSPy through structured output extraction, chain-of-thought reasoning, RAG systems, ReAct agents, and self-improving optimizers.
📁 Source Code: src/dspy-tutorial-5-real-world-use-cases
🔧 Technologies: DSPy, OpenAI, RAG, ReAct Patterns, MIPRO Optimizer
⚖️ Model Comparisons & Testing
🥊 GPT-4.5 vs Claude 3.7 Showdown
GPT 4.5 vs Claude 3.7 — LLM Showdown
Comprehensive comparison of the latest frontier models across creative ideation, strategic planning, writing assistance, math reasoning, and ethical reasoning.
📁 Source Code: src/gpt-4.5-vs-claude-3.7-head-to-head
🔧 Technologies: Node.js, Express, OpenAI API, Anthropic API
🔮 Gemma 3 Complete Guide
Ultimate Gemma 3 Guide — Comparing 1b, 4b, 12b and 27b with Ollama
Compare all Gemma 3 model sizes across logic reasoning, visual recognition, and code generation tasks using Ollama for local deployment.
📁 Source Code: src/gemma3-ollama
🔧 Technologies: Ollama, Local Models, Model Comparison, Vision AI
🧪 DeepSeek-R1 Local Setup
How to Setup and Run DeepSeek-R1 Locally Using Ollama
Complete guide to running DeepSeek-R1 reasoning models locally with Ollama, including Neovim integration and CLI usage.
📁 Source Code: src/deepseek-ollama
🔧 Technologies: Ollama, DeepSeek-R1, Avante.nvim, Local LLMs
🔗 MCP (Model Context Protocol)
⚡ FastMCP Server Development
FastMCP — the best way to build an MCP server with Python
Build production-ready MCP servers with FastMCP, covering tools, resources, prompts, and deployment to PyPI.
📁 Source Code: src/fastmcp-tutorial
🔧 Technologies: FastMCP, Python, MCP Protocol, Claude Desktop
🗂️ Obsidian MCP Integration
Obsidian MCP Setup Tutorial for Claude Desktop
Connect your Obsidian vault to Claude Desktop using MCP for intelligent note management and knowledge retrieval.
📁 Source Code: src/obsidian-mcp
🔧 Technologies: Obsidian, MCP, Claude Desktop, REST API
Obsidian + Ollama with MCPHost — Step-by-Step Guide
Use Obsidian MCP with local models through MCPHost and Ollama for privacy-focused knowledge management.
📁 Source Code: src/obsidian-mcp
🔧 Technologies: MCPHost, Ollama, Local Models, Obsidian
🌐 MCPHub Development Environment
Set up MCPHub for Neovim to access a marketplace of MCP servers and enhance your development workflow.
📁 Source Code: src/mcphub
🔧 Technologies: MCPHub, Neovim, Avante, Code Companion
💾 Supabase MCP Workflows
Supabase MCP with Cursor — Step-by-step Guide
Build full-stack applications using Supabase MCP with Cursor for seamless database operations and authentication.
📁 Source Code: src/supabase-mcp
🔧 Technologies: Supabase, React, TypeScript, MCP, Cursor
Cline AI MCP Workflow — Supabase Web App with Auth, Storage & DB
Create a complete wallpaper generator app using Cline AI with Supabase MCP for database, authentication, and AI image generation.
📁 Source Code: src/supabase-mcp-cline
🔧 Technologies: Cline AI, Supabase, Edge Functions, OpenAI DALL-E
🎯 Specialized AI Applications
🤖 Discord AI Bot Development
How I Built an AI-Powered Bot for my Discord Server
Build an intelligent Discord bot with trivia questions, greeting messages, and OpenAI integration deployed via GitHub Actions.
📁 Source Code: src/discord-ai-bot-trivia-greetings
🔧 Technologies: Discord.py, OpenAI API, Docker, GitHub Actions, GCP
📊 AI Startup Tier List
AI Startup Tier List: What's Worth Building in 2025?
Evaluate 18 AI startup ideas across personal health, developer tools, compliance, and vertical agents.
📁 Source Code: src/ai-eng-tier-lists/startups
🔧 Technologies: HTML/CSS Presentation, Market Analysis
🗺️ Trip Mapping Applications
Travel Itinerary Generator Series
Multi-platform trip planning applications showcasing different AI integration approaches.
📁 Source Code: src/trip-mapper
🔧 Technologies: Ollama, Google Gemini, React, HTML/CSS, Maps API
📊 Data Engineering & Analytics
🔧 Neovim AI Data Engineering
How I use AI for my data engineering work
Real-world AI integration in data engineering workflows including SQL optimization, Airflow pipeline development, and documentation.
📁 Source Code: src/neovim-ai-data-eng-tricks
🔧 Technologies: Neovim, SQL, Apache Airflow, Python
12 Neovim AI data engineering use cases
Comprehensive demonstration of 12 practical AI use cases for data engineering including ETL, testing, debugging, and data validation.
📁 Source Code: src/neovim-ai-data-eng-tricks
🔧 Technologies: ETL Pipelines, SQL Optimization, Unit Testing, Data Validation
📈 Data Jobs Market Analysis
Complete analysis of the data jobs landscape including salary trends, skill requirements, and career hierarchy across engineering, ML, and analytics roles.
📁 Source Code: src/data-jobs-2025
🔧 Technologies: Market Research, Career Analysis, Industry Trends
⚡ Productivity & Workflows
🎯 System Prompt Engineering
How to Write Better System Prompts
Master system prompt design through analysis of leaked prompts from Perplexity and Copilot, with the exclusive "ChadGPT" system prompt.
📁 Source Code: src/anatomy-of-a-system-prompt
🔧 Technologies: Prompt Engineering, OpenAI Playground, System Design
💻 Cursor & Cline Integration
Getting Started with Cline—The Best VS Code AI Plugin
Complete guide to using Cline for autonomous coding tasks with local and cloud models.
🔧 Technologies: Cline, VS Code, Ollama, Claude 3.7 Sonnet
7-step Guide for Vibe Coding New Features for Existing Projects
Systematic approach to adding features to existing codebases using AI-powered development tools.
🔧 Technologies: Cursor, Feature Development, AI-Assisted Coding
Neovim + Cursor — The Dual Workflow
Optimize your development workflow by combining Neovim's efficiency with Cursor's AI capabilities.
🔧 Technologies: Neovim, Cursor, Dual Workflow, Development Efficiency
🧠 Memory Layer for AI IDEs
ByteRover — The Memory Layer for AI IDEs
Implement persistent memory for AI development tools to store and retrieve code patterns, project blueprints, and development knowledge.
🔧 Technologies: ByteRover, Memory Management, AI IDE Enhancement
🔍 Repository Analysis Tools
Gitingest — Convert GitHub repos into a clean, LLM-friendly format
Transform entire repositories into LLM-digestible formats for code analysis, documentation, and understanding.
📁 Source Code: src/gitingest-terminal-guide
🔧 Technologies: Gitingest CLI, Repository Analysis, LLM Integration
🎮 Advanced CLI Tools
The Gemini CLI turns me into an unstoppable coding beast
Leverage Google's Gemini CLI for rapid development, debugging, and MCP server creation with concurrent workflows.
🔧 Technologies: Gemini CLI, MCP Development, Concurrent Workflows
🚀 Career & Industry Insights
💼 AI Engineering Career Path
100 AI Job Postings Later… Here's What's Actually in Demand
Data-driven analysis of 100+ AI engineering job postings revealing actual skills, experience, and responsibilities in demand.
📁 Source Code: src/rise-of-the-ai-engineer
🔧 Technologies: Job Market Analysis, Skill Assessment, Career Planning
🏠 Remote Work & Gear
5 Level Gear Guide for Modern Tech Workers
Complete equipment recommendations across 5 levels for remote tech workers, from basic setup to premium configurations.
🔧 Technologies: Hardware Reviews, Remote Work Setup, Productivity Equipment
🎯 Content Creation Journey
I finally figured out what to do
Personal insights on content creation, course marketing, lifestyle balance, and the future direction of ZazenCodes.
🔧 Technologies: Content Strategy, Course Development, Creator Economy
🛡️ Security & Ethics
Learn LLM Prompt Injection with the Gandalf Game
Master prompt injection techniques and AI security through practical challenges using the Gandalf prompt injection game.
🔧 Technologies: Prompt Injection, AI Security, Penetration Testing
🎥 Video Content & RAG Systems
Build a RAG App on VertexAI — Full Python Tutorial
Complete guide to building production-ready RAG systems using Google Cloud's VertexAI platform.
🔧 Technologies: VertexAI, RAG, Google Cloud, Python
Deploying a RAG VertexAI App on GCP + Discord Bot Integration
Deploy RAG microservices on Google Cloud and integrate with Discord bots for intelligent chat systems.
🔧 Technologies: GCP Deployment, Docker, Discord Integration, Microservices
📊 MCP Server Analysis
Repository Analytics and Development
Analysis tools and workflows for MCP server development and repository understanding.
📁 Source Code: src/mcp-server-analysis
🔧 Technologies: Jupyter Notebooks, Data Analysis, MCP Development
README fetched from the repository 6 days ago. The original is authoritative.