Ask HN: Learning resources for building AI agents?
6 points
by 7e10
17 hours ago
| 3 comments
| HN
I’ve recently gone through several materials, including Antonio Gulli’s AI Agentic Design Patterns, Sam Bhagwat’s Principles of Building AI Agents and Patterns for Building AI Agents, as well as the courses from LangGraph Academy and some content on DataCamp.

This space is evolving very quickly, so I’m curious how others here are approaching learning. What resources, courses, papers, or hands-on approaches have you found most useful while building AI agents?

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tiredgirl4
17 hours ago
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Get your hands dirty and start vibe coding your own AI agent using free open-weight models. Thats my recommendation. You probably already know more than you think. :)
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7e10
16 hours ago
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yes, thanks! I have been building along the way, coded an Agent that works with google analytics 4 and some more, full stack Mern+langgraph. . however, interesting to know what others are learning.. More in the direction of building autonomous agents because using langgraph does not really seem truly autonomous or maybe i’m doing something wrong.
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jsilence
15 hours ago
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Calibra might help to put some benchmark numbers on your prototypes: https://calibra.swival.dev/
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Raquel_Jalves
11 hours ago
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That's it, start now and learn how to improve on the way:)
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7e10
10 hours ago
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sure, thanks!
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