While I agree with the premise of keeping it simple (especially when it comes to using opaque and overcomplicated frameworks like LangChain/LangGraph!) I do believe there’s a lot more to building agentic systems than this article covers.
I recently wrote[1] about the 4 main components of autonomous AI agents (Profile, Memory, Planning & Action) and all of that can still be accomplished with simple LLM calls, but there’s simply a lot more to think about than simple workflow orchestration if you are thinking of building production-ready autonomous agentic systems.
[1] https://melvintercan.com/p/anatomy-of-an-autonomous-ai-agent
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