How LangGraph Supports Cycles for Multi-Agent Workflows
LangGraph supports cycles natively, allowing for complex multi-agent loops and iterative reasoning. Learn how to safely implement cyclic graphs, critique loops, and prevent infinite execution.
AI Engineering
Benchmarking FP8 Stability: Where Gradients Go to Die
FP8 is the new frontier for training efficiency, but it breaks in the most sensitive layers. We dissect the E4M3/E5M2 split and how to spot divergence.
A2UI: The Interface is Now a Variable
We’re moving past static dashboards and iframes. We explore the A2UI protocol, how models choose their own blueprints, and the future of morphing interfaces.
The Storage Wall: Why Your GPUs are Waiting on GCS
Buying expensive GPUs to wait on cheap storage is an operational failure. We break down the math of 'Badput' and why high-performance I/O is actually a discount.
Performance over Portability? Running Local LLMs on the Asus ProArt 13
Can a thin-and-light PC handle production-level LLMs? We benchmark the Asus ProArt 13 with RTX 4060, the Ryzen AI 9 NPU, and the 8GB VRAM bottleneck.
The Agent Supervisor Pattern: Why Your Mesh Needs a Boss
Autonomous agents are prone to infinite reasoning loops and 'democratic' indecision. We explore the Supervisor pattern in LangGraph, MCP, and why orchestration beats choreography.