A cheeky take on graph engineering
hwchase17 · x · 2026-07-20
A tongue-in-cheek take on “graph engineering”: it sounds like it mostly boils down to LangGraph.
The quoted thread contrasts loops and graphs for agent execution: in a loop, the agent owns the path while you define the goal and quality bar; in a graph, you predefine the steps and routes. It uses SEO article writing as the example, where a loop lets the agent iterate until it meets the brief, while a graph makes the workflow explicit in advance.
Related event: AI Agent Architecture Evolution: From Loops to Graph Engineering(8 posts)→
More from coding & agent
- Dev mixes Claude specs with abliterated GLM to build SS7 threat detector — l4rz · 2026-10-27
- Cloudflare Durable Objects validated as top architecture for AI agent WebSocket servers — tristanbob · 2026-10-27
- GitHub Next's Chopin prototype explores real-time multiplayer agentic planning — max__drake · 2026-10-27
- TMLR paper: enforced thinking doesn't reliably make LLM agents disclose key info to users — SharonYixuanLi · 2026-10-27
- LLM-written Rust library bbtree verified: speed claims hold, memory savings reverse — lmoroney · 2026-10-27
- Resin lets an agent build standalone LLM inference engines; vLLM and SGLang optimize DeepSeek kernels differently — AccBalanced · 2026-10-27