The first big version of Cursor 1.0 is coming! Automatically catch bugs, change shit mountain of code in seconds, AI programming watershed has arrived!

keenly anticipatedCursor 1.0 has finally been re-released!

This is the first integer version number for Cursor, which shows that they are very confident about this product update.

With this update, BugBot can automatically pull out code bugs, the backend intelligence is fully open, Jupyter Notebook is deeply integrated, and even the AI remembers your development habits!

Whether you're a late-night programmer or a scientist exploring data, Cursor 1.0 is redefining 'efficient coding' with hardcore technology.

• Highlights of this update include:
• Code review tool BugBot;
• A first look at memories function (a first look at memories);
• Install MCP with one click;
• Support for Jupyter Notebook;
• Backend intelligences for all users;
• Richer chat replies: visualizations such as Mermaid charts and Markdown tables are rendered directly in the conversation.

Automated Code Review BugBot

BugBot automatically reviews your Pull Requests (PRs) for potential bugs and issues.

When a problem is found, BugBot leaves a message on the GitHub PR.

Click on "Fix in Cursor" (Fix in Cursor) button, you can jump directly to the Cursor editor, and you'll see the populated fix suggestions, which in turn will solve the problem quickly.

Backend intelligence for all users

Since Cursor launched an early experience version of Backstage Intelligentsia (a remote coding assistant) a few weeks ago, the feedback has been great!

Now, they are happy to announce that Backstage Intelligence is open to all users!

Simply click on the cloud icon in the chat window or press Cmd/Ctrl+E (when privacy mode is off) to use it. Users with privacy mode enabled will soon be supported as well.

Backend intelligences can work on building, researching and debugging code longer, smoothly and efficiently.

Jupyter Notebook Deep Integration

Cursor now enables code changes in Jupyter Notebook!

This feature will create and edit multiple cells directly in Jupyter, which is a big boost for research and data science tasks. Currently only the Claude Sonnet model is supported.

memory function

The Memory feature allows Cursor to remember key information from conversations that can be referenced at any time in the future. These memories are stored on a project and individual level. However, it is currently a beta feature that users can manage to enable in Settings → Rules.

One-click installation of MCP and OAuth support

Now you can set up MCP servers in Cursor with a single click, which, combined with OAuth support, makes it easy to authenticate to servers that support the protocol.Cursor has compiled an official list of MCP servers, which can be added to Cursor on the page.

MCP server list page:https://docs.cursor.com/tools

If you're an MCP developer, it's easy to let other developers use your server by simply adding an "Add to Cursor" button to the documentation and README. The button can be generated at docs.cursor.com/deeplinks.

Richer Chat Experience

Cursor now renders visualizations, such as Mermaid charts and Markdown tables, directly in the conversation, and it's super convenient to have them visible right after they're generated!

Generate Mermaid Charts

Generate Markdown tables

New setup and dashboard

Cursor This update also optimizes the settings and dashboard pages.

The new dashboard allows you to view individual or team usage data, update display names, and see detailed statistics by tool or model. Examples include the number of lines of code edited, the number of tags accepted, and the number of requests.