Harness Engineering

The core thesis behind Anthropic's harness engineering — why agent performance is determined by the harness around the model, not just the model itself

From augmented LLMs to autonomous agents — Anthropic's taxonomy of agentic system patterns, building blocks, and when to use each

Making agents work across multiple context windows — the initializer/coder two-agent harness pattern for multi-session autonomous tasks

GAN-inspired three-agent architecture — planner, generator, and evaluator working together to build complete applications over multi-hour autonomous sessions

Infrastructure at scale — decoupling the brain from the hands, sessions as durable logs, and interfaces that outlast implementations