The central argument is that coding-agent harnessesAn AI agent harness is the software framework that packages a model with tools, instructions, context management, execution controls, and user interaction. with short system promptsContext engineering designs how relevant instructions, evidence, state and tool information are assembled for a model's task. interfere less with models they were not designed around, reduce per-request overhead, and expose more of each model's native behavior.
A reported 30-task comparisonA benchmark is a defined test or collection of tasks used to compare a system's performance under specified conditions. found that one Pi-derived harness passed 17 tasks, Claude Code and Codex passed 16 each, and OpenCode passed 14, while different harnesses led on speed and cost. The narrow test does not establish universal superiority, but it illustrates that harness design can materially affect results from the same model.
The guided tour highlights model and provider switching while retaining context, tree-based session branching, on-demand skillsAn AI agent skill is a reusable package of instructions, resources, and tool guidance for performing a bounded kind of work., TypeScript extensions, optional packages, and headless integration. Together, these features favor a small core with opt-in complexity.
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