Improved commenting with Markdown
You’ll notice there’s a new Markdown text-formatting toolbar on all the comment fields throughout GitHub. While you’ve always been able to use Markdown to format your text with links, headers,…
You’ll notice there’s a new Markdown text-formatting toolbar on all the comment fields throughout GitHub. While you’ve always been able to use Markdown to format your text with links, headers, italics, and lists, the new toolbar allows you to do so without learning Markdown syntax.
The toolbar includes a limited set of tools that gets out of the way of experts, but helps those new to GitHub to write just as clearly, and expressively as anyone else. Neat.
In addition to standard Markdown formatting, the toolbar also includes GitHub-specific features. @mentions bring additional users or teams into the conversation, issue and pull request links allow you to cross-reference related discussions, and task lists track outstanding tasks. They’re now available to you with a single click.
Tags:
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.