Own the loop: A field guide to agent harnesses

Agent harnesses are pivotal in modern coding workflows, acting as loops that enhance a model's capability by orchestrating tasks such as file editing, testing, and code correction. While model-native pairs like Claude Code and Codex offer high performance, they often tie users to specific vendors, reducing flexibility. As models become commoditized, the focus shifts to the harness itself, which dictates a workflow's adaptability and sustainability across different models. The analysis of harnesses involves evaluating their capability—how well they integrate with models and tools—and their freedom, which is defined by the ease of switching models and maintaining workflow autonomy. The emergence of meta-harnesses, which manage multiple coding agents and enforce higher-level policies, signifies a trend towards more sophisticated orchestration, where owning the harness becomes crucial for long-term efficiency and independence. The future lies in owning the loop, as it allows for continuous adaptation and accumulation of knowledge, contrasting with the transient nature of the models themselves.

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