@ts_floydAndrew Ng just released a 12-page PDF on 'Graph Engineering' for multi-agentic systems. It covers 4 design patterns: Reflection (add a critic for 10-30% quality lift), Tool Use (execute code, search web, query DB to stop hallucination), Planning (write a structured plan and reroute on tool failure), and Multi-Agent (split roles like coder, reviewer, tester). The key idea: graph architecture externalizes shared state so agent loops can persist overnight. Based on his courses and DeepLearning.AI curriculum.

@ts_floydAndrew Ng just released a 12-page PDF on 'Graph Engineering' for multi-agentic systems. It covers 4 design patterns: Reflection (add a critic for 10-30% quality lift), Tool Use (execute code, search web, query DB to stop hallucination), Planning (write a structured plan and reroute on tool failure), and Multi-Agent (split roles like coder, reviewer, tester). The key idea: graph architecture externalizes shared state so agent loops can persist overnight. Based on his courses and DeepLearning.AI curriculum.