Graph-based architectures are gaining traction as a way to give AI agents more reliable memory, planning, and reasoning. Some engineers say this is the key unlock for agentic AI; others say it's an overengineered detour and better LLMs will get there on their own.
Similar to hewsay's "Is graph engineering the next core skill for building reliable AI agents?"
Hey everyone, I’m planning to transition my role to AI Engineer, specifically focusing on LangGraph and building production-grade AI agents. A bit
Image 6: u/DevokuL avatar DevokuL •5mo ago reliable AI orchestration is the next big thing! 1 more reply 1 more reply 1 more reply . Reasoning: Claude Code (terminal, Opus). This is the only LLM call in the system. Memory: ~200 markdown files in a knowledge di...
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