AI Agent Orchestration Design Patterns — Task Decomposition, Handoffs, and Loop Control
A practical look at the design challenges you encounter when actually running AI agents: task decomposition granularity, sub-agent handoff structures, and reliable loop termination.
Engineering Quality Into AI Agents — When Autonomous Execution Breaks and How to Prevent It
Autonomous AI agents degrade over time. This article shows how to catch the decay before it breaks, with multi-stage verification gates and a failure dictionary that lets agents self-recover — drawn from running four sites with multiple agents in parallel.
AI Agent Design Patterns in Practice: From Implementation to Production
Master the four major AI agent design patterns used in production environments. Learn the strengths, weaknesses, and implementation strategies for each pattern with real-world enterprise insights.
Design Patterns and Operations for Autonomous AI Agent Systems
A systematic breakdown of AI agent design patterns for real-world use. Covers ReAct, Plan-and-Execute, Reflexion, Multi-Agent, and Human-in-the-Loop — with selection criteria and implementation tips for each.
AgentKit 2.0 Production Design Patterns — Strategic Architecture for 16 Specialized Agents
Comprehensive guide to leveraging AgentKit 2.0's 16 specialized agents, 40+ skills, and 11 commands in production environments. Master 5 proven orchestration patterns (hierarchical delegation, pipeline, fan-out/aggregate), AGENTS.md team standards, and strategies for 1M token context windows with Gemini 3.1 Pro.