Partial commits in GitHub for Windows
Ever found yourself in a situation where your working directory contains a mix of changes that don’t quite fit together? It would be easy to commit it all at once…
Ever found yourself in a situation where your working directory contains a mix of changes that don’t quite fit together? It would be easy to commit it all at once and move on; however, small, focused commits are great for making it easy to review and discuss a branch of work – especially when working on a complex codebase.
But how can you choose which changes to use in a commit?
The newest release of GitHub for Windows supports selecting lines or blocks of changes when creating a commit. Simply click the desired lines in the gutter, create the commit, and leave the other changes for you to continue working on.
For people familiar with the command line, this change is similar to interactive staging using git add -i
or git add -p
.
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.