Learning Agentic Development

The transition from traditional LLM applications to agentic workflows is fascinating. It's not just about prompting anymore; it's about building systems that can reason, plan, and execute tasks autonomously.

Learning agentic development requires a shift in mindset:

1. Goal Decomposition: Breaking down complex tasks into sub-tasks.
2. Tool Use: Equipping agents with the ability to interact with the real world.
3. Evaluation: Building robust ways to test agentic reasoning.

Excited to continue this journey!