AI Architecture

The Agent Context Gap: How Structured State Management Solves Token Bloat & Decay

A deep-dive into the architectural patterns for high-performance agentic systems, using ShShell as a case study for context orchestration and state memory.

Multi-Agent Architectures: How Grok 4.20 and Qwen 3.5 are Redefining Efficiency

The Microservices Moment for AI: Designing Multi-Agent Systems That Don’t Melt Down

Treating AI agents like microservices is the key to building stable, scalable multi-agent systems. Learn about routing, retries, and monitoring in the age of agentic AI.