SOURCE-LINKED INTELLIGENCE
Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private Suite
An agentic coding system couples a language model to a harness: the tools, prompts and control flow that turn a chat model into an autonomous software engineer. Vendors ship harnesses tuned to their own models, and practitioners assume the vendor-native pairing solves more tasks. We measure that assumption with paired same-model contrasts on a private, contamination-controlled suite of 256 repository and post-cutoff contest tasks. The same 80 tasks ran under claude-agent-sdk and under deepagents on claude-opus-4-8, and under the openai-codex SDK and deepagents on gpt-5.5, with gemini-3.5-flash
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T21:24:40.000Z
First collected: 2026-09-20T19:52:05.078Z. This is not the publication date.