

How LangGraph Supports Cycles: Preventing Infinite Loops in Agent Workflows
How LangGraph supports cycles for multi-agent workflows: learn to detect infinite loops, implement safety limits, and optimize cyclic agent graphs in production.


How LangGraph supports cycles for multi-agent workflows: learn to detect infinite loops, implement safety limits, and optimize cyclic agent graphs in production.


Why Agent-to-Agent (A2A) interactions and Side Effects require a 'Two-Phase Commit' for safety.


Chains are brittle. We need a shared state object for robust multi-agent reasoning.


See how speculative decoding performs for single-batch requests on an NVIDIA A100. We analyze acceptance rates, latency, and the mechanics of the draft model gamble.


Why selling outcomes vs. selling seats changes your margin profile entirely.


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.