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Codefair is an open-source platform that acts as your personal assistant for making research software FAIR (Findable, Accessible, Interoperable, and Reusable), as defined by the FAIR Principles for Research Software. Whether you are developing artificial intelligence (AI)/machine learning (ML) models with Python, data visualization tools with Jupyter notebook, or data analysis code with R, Codefair is here to assist you. It currently integrates with GitHub through a dedicated GitHub App, which evaluates your repository and opens a persistent issue called the FAIR Compliance Dashboard. This dashboard shows point-by-point how your software meets FAIR requirements and what's still missing. It updates automatically on every push to the main branch, so compliance becomes an ongoing, incremental process rather than a one-time checklist. For each gap, an action button links to codefair.io, where simple interfaces backed by automation help you resolve it, often ending with Codefair submitting a pull request on your behalf. Support for GitLab and other platforms is planned in the future. We provide more details on the platform's website at codefair.io.