Read-only deploy keys
You can now create deploy keys with read-only access. A deploy key is an SSH key that is stored on your server and grants access to a single GitHub repository.…
You can now create deploy keys with read-only access. A deploy key is an SSH key that is stored on your server and grants access to a single GitHub repository. They are often used to clone repositories during deploys or continuous integration runs. Deploys sometimes involve merging branches and pushing code, so deploy keys have always allowed both read and write access. Because write access is undesirable in many cases, you now have the ability to create deploy keys with read-only access.
New deploy keys created through GitHub.com will be read-only by default and can be given write access by selecting “Allow write access” during creation. Access level can be specified when creating deploy keys from the API as well.
Written by
Related posts
![](https://github.blog/wp-content/uploads/2023/10/Collaboration-DarkMode-2.png?resize=400%2C212)
2024 is the biggest global election year in history. What’s at stake for developers?
GitHub is considering what is at stake for our users and platform, how we can take responsible action to support free and fair elections, and how developers contribute to resilient democratic processes.
![](https://github.blog/wp-content/uploads/2023/10/AI-DarkMode-2.png?resize=400%2C212)
GitHub named a Leader in the Gartner first-ever Magic Quadrant for AI Code Assistants
This year, as part of its annual Magic Quadrant series, Gartner published a first-of-its-kind report analyzing the state of play in the AI Code Assistants market–and named GitHub a Leader.
![AI in software development 2024 survey results with colorful graphics and percentages.](https://github.blog/wp-content/uploads/2024/08/ai-survey-header.png?resize=400%2C212)
Survey: The AI wave continues to grow on software development teams
We surveyed 2,000 people on software development teams at enterprises in the U.S., Brazil, India, and Germany about the use, experience, and expectations around generative AI tools in software development.