Multi-Agent Architecture: Splitting Blindly Will Backfire
Not all multi-agent patterns are equal. Learn when subagents, skills, handoffs, and routers actually outperform a single agent - with real scenarios and numbers.
Thoughts on software engineering, product design, and AI.
Not all multi-agent patterns are equal. Learn when subagents, skills, handoffs, and routers actually outperform a single agent - with real scenarios and numbers.
Orchestration patterns, communication methods, memory management, and production pitfalls - a practical breakdown of everything I struggled with when designing multi-agent systems.
A deep dive into Oh-My-OpenCode's multi-agent orchestration architecture - how programmatic context isolation, parallel execution, and evidence-based research are redefining what AI coding agents can do.
Opencode's open-source documentation doubles as an introductory guide to agent architecture. Here are the seven core concepts every developer should understand.
Poetiq's recursive meta-system became the first to surpass 50% on ARC-AGI-2, the benchmark designed to test true general intelligence. Here's how a 6-person team outperformed Google at half the cost.
How a Claude Code plugin named after Ralph Wiggum is redefining autonomous coding through iterative loops, memory architecture, and stop hooks.
Bigger context windows don't make AI smarter. RLM flips the script by letting LLMs write code to selectively read massive documents instead of ingesting them whole.
Six battle-tested AI agent patterns that emerged globally in one month - from persistent loops to multi-agent orchestration.
Context engineering took the world by storm in early 2026. Here are six battle-tested principles from Manus, Cursor, and Claude Code that define modern AI agent development.
Peter Steinberger, who built GitHub's fastest-starred project, shares 10 hard-won principles for working with AI coding agents.
Have a project in mind or just want to chat? I'd love to hear from you.
I'm always open to a conversation.