Today I took my first step into AI-assisted development, and it genuinely changed how I think about writing code.

🔑 Key Lessons:
I learned how to use Cursor AI, a smart coding editor that integrates AI directly into the development workflow.

I explored how to trigger completions, ask questions about code, and get suggestions without leaving the editor.

Cursor made me feel like I had a mini-mentor in the IDE — offering real-time help when I needed it.

We also installed and set up Ollama, a tool that lets you run large language models locally.

I didn’t go too deep into using it yet, but knowing it doesn’t need an internet connection was impressive.

It made me think about the future of private, offline-friendly AI assistants for development.

✅ Takeaways:
Tools like Cursor can reduce friction when learning new technologies.

Just having a helpful AI presence inside the editor changes how you approach debugging or writing boilerplate.

Local models like Ollama are promising — especially when working on sensitive or private projects.

❓Question:
What’s your take on local AI tools? Would you prefer something like Ollama over cloud-based models?