Why Single Agents Often Beat Multi-Agent Systems
Why many apparent multi-agent gains are really test-time compute gains, and when extra agents are still worth the complexity.
Why many apparent multi-agent gains are really test-time compute gains, and when extra agents are still worth the complexity.
A practical comparison of three emerging agent protocols, what layer each one solves, and when to use them together.
A beginner-friendly but detailed guide to how large language models are built, trained, aligned, and run in production.
When one workflow is not enough, parallel state machines keep independent concerns separate, testable, and easier to reason about.
A practical, engineer-friendly look at state machines: why they’re great, where they hurt, and a clean TypeScript finite-state-machine example.
The majestic monolith architecture