Lilian Weng surveys harness engineering as a path to recursive self-improvement

The post argues that the system surrounding a base model, called the harness, increasingly determines how well AI agents deploy and improve.

It reviews research where harness components such as workflows, context, and code are optimized automatically through evolutionary search and meta-agent loops.

The author concludes that evaluators, memory management, and human oversight remain open bottlenecks.