by DanielHashmi · MCP Server · ★ 22
🎯 Quarter 4 — Agentic AI Learning This repository serves as the comprehensive workspace for Quarter 4 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects. The primary focus areas include: 🎨 Advanced prompt and context engineering 📋 Specification-driven development 🔌 Model Context Protocol (MCP) 🤖 Agentic AI ☁️ Cloud-native development Primary Development Language: 🐍 Python, 💠 Typescript, 📑 Markdown 👨🏫 My Quarter 4 Teachers: Sir Zia Sir Ameen Alam Sir Junaid Sir Qasim Sir Hamzah Syed Sir Fahad Khan Sir Ali Jawwad...
| Stars | 22 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 41.2644852122578/100 |
| Open Issues | 31 |
| Last Updated | 2026-09-30 |
| Created | 2025-05-10 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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Q4_learning is This repository serves as the comprehensive workspace for Quarter 4-5 academic endeavors, encompassing assignments, technical documentation, experimental implementations, and applied projects.. It is categorized as a MCP Server with 22 GitHub stars.
Q4_learning is primarily written in Python. It covers topics such as agentic-ai, cloud-native, context-engineering.
You can find installation instructions and usage details in the Q4_learning GitHub repository at github.com/DanielHashmi/Q4_learning. The project has 22 stars and 2 forks, indicating an active community.