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AGENTS.md, a file providing instructions for AI coding agents (autonomous tools that write and edit code) on how to interact with a specific repository.Traditional signals of a high-quality contributor, such as clean code, are no longer reliable because AI can generate them instantly. This creates an imbalance where the cost to create a contribution is near zero, but the human cost to review it remains high, threatening the mentorship cycles that sustain open-source.
Implement these guardrails by requiring issue approval before pull requests to test comprehension or adding an AI disclosure policy to your CONTRIBUTING.md. GitHub has also opened an RFC for platform-level solutions to help maintainers filter low-quality contributions. These strategies are available now for all repository owners.
AI is driving more open source contributions than ever. But as a maintainer, how do you filter the noise to find the people who actually want mentorship? Enter the 3 Cs framework. Start mentoring with intention (and without the burnout). https://t.co/csQioRMpBr
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