Deep-dive technical articles written for engineers building agent orchestration loops, vector retrieval systems, and real-time voice applications.
LangGraph, AutoGen, Agno and CrewAI differ less in capability than in where control flow lives. A practical guide to choosing and staying portable.
Retrieval changes what a model can see; fine-tuning changes how it behaves. A practical decision guide, with failure modes and the hybrid pattern.
Hosts, clients, tools, resources and transports explained, plus the security boundary that decides whether an MCP deployment is actually safe.
What multi-agent systems really cost in tokens, latency and debuggability, and when splitting a single agent into several is worth the overhead.
Where voice-agent latency actually comes from, from endpointing to barge-in, and how to measure every stage instead of guessing on a laptop.
