What we will cover:
Building Custom MCPs: Learn to create your own Model Context Protocol servers to connect LLMs (like Claude or Gemini) to your local databases, APIs, and file systems.
The AI Workflow: How to move beyond basic prompts and use AI for complex system design and automated refactoring.
Strategic Integration: A Senior Engineer's approach to choosing the right AI stack (Cursor, GitHub Copilot, or custom LLM implementations).
Future-Proofing: A personalized roadmap to stay relevant and highly employable as the industry evolves.