There are a lot of agent tutorials focused on frameworks, but I’m more interested in the fundamentals underneath them.
A learning path I’m currently building looks like:
What is an Agent → Agent Loop → Function Calling → State/Memory → Context Engineering → Runtime/Harness → Multi-Agent Systems → Evaluation → Safety → Production Agents
The early examples use plain Python so concepts like tool execution, control loops, state transitions, and runtime responsibilities are visible.
I’m curious what others think:
What agent concepts are still poorly explained today?
What would you add, remove, or reorder in this learning path?
I’m turning this into an open-source Zero → Hero repo here:
https://github.com/tradertanmay/ai-agents-zero-to-hero
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