Coding agents ignore open source contribution guidelines, and nobody seems surprised

Open source maintainers have been writing contribution rules for AI agents for months. The New Stack reports that researchers at Peking University tested four frontier models against 106 issues from 49 repositories and found agents almost never retrieve contribution rules on their own. Disclosure and verification improve with reminders, but bans and escalation get ignored.

The study suggests agents are built to get the task done, not to read policy files first. NVIDIA’s August push for local AI models like Nemotron and Qwen3.8-27B makes the tension sharper: more local agents will mean more contributions that may skip CONTRIBUTING.md entirely.

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If the harness doesn’t enforce policy, the agent won’t. The practical fix is moving checks out of the model — route PRs through CI, enforce tool permissions, and treat agent-generated code the same way you treat human code: review it.

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