Development environments for cloud agents

To take engineering tasks from start to finish, agents need a development environment similar to the setup on your laptop: cloned repositories, installed dependencies, credentials for internal toolchains, and access to build systems.

This release introduces new tools for teams to configure development environments for their agents. Cursor also can use these tools to set up and maintain environments for you. Together, this makes it easier for teams to run fleets of parallelized agents that handle tasks from end-to-end, inside development environments you fully control.

Multi-repo environments

Cloud agents and automations now support multi-repo environments, building off our work on multi-root workspaces. You can configure a single environment with all the repositories an agent needs for its work, with re-use across sessions.

Environment configuration as code

To make it easier to change, debug, and review environment definitions, we have improved Dockerfile-based configuration.

This includes support for build secrets, making it easy to securely access private package registries directly from your Dockerfiles. Build secrets are scoped to the build step and aren't passed to the running agent's environment.

Environment configuration as code

We've also upgraded layer caching, so that only the updated layers of your image rebuild when you change the Dockerfile. Builds that hit the cache run 70% faster.

Improved agent-led environment setup

As Cursor configures your environment, it will ask you questions, flag missing credentials, and validate that your environment is set up properly.

Improved agent setup

Cursor will always show you the version of the environment your agent is running in. If your environment configuration fails, it will default to a base image with clear warning signs so that your cloud agents can keep running instead of immediately failing.

Environment governance and security controls

Every development environment now has its own version history that users can review and roll back. Admins can also restrict rollback permissions to admins only. An audit log captures every action team members take on environments, giving security teams full visibility into who changed what.

Egress and secrets can now be scoped at the development environment level. Secrets configured for one environment aren't accessible from any other.

Learn more about agent development environments in our announcement and docs.

Cursor in Microsoft Teams

Cursor is now available in Microsoft Teams.

Mention @Cursor in any Teams channel to delegate a task to a cloud agent or pull information from Cursor into Teams.

Cursor automatically picks the right repository and model based on your prompt and recent agent activity. It reads the entire thread for context before implementing a solution and creating a PR for your team to review.

Get started by installing the integration in the Cursor dashboard. Learn more in our docs.

Bugbot Effort Levels

Teams admins and Individual plan users can now customize the effort level Bugbot uses for its PR reviews, with three different configurations:

  • Default: Bugbot continues to use the same effort level as it does today. Optimized for efficiency and speed.
  • High: Bugbot spends more time reasoning. Reviews are more expensive and take longer, but Bugbot may find more bugs.
  • Custom: Describe in natural language when Bugbot should use default or high effort. Cursor will dynamically set effort levels based on your instructions.

Customers must be on usage-based billing for Bugbot to customize effort levels. Learn more in our docs and go to your Bugbot dashboard to get started.

  • With default effort, Bugbot finds 0.7 bugs per run, on average. Over 79% of these bugs are resolved by users at merge time.
  • With high effort, Bugbot finds 0.95 bugs per run, on average.

PR Review, Build Plan in Parallel, and Split PRs

This release introduces a new PR review experience, faster execution on plans through parallel agents, and new quick-action pills for common workflows.

PR review

A new PR review experience is now available in Cursor 3. Take PRs from creation to merge all in one place.

  • The Reviews tab now shows inline review threads and top-level PR comments.
  • The Commits tab gives you a focused view of commit history for the PR.
  • The Changes tab makes it easier to navigate larger PRs with a file tree and changes picker.

You can see useful context like reviewer status and pending review banners, and quick action pills allow you to take next steps faster.

Build in parallel from plans

Cursor can now execute on plans faster by multitasking across tasks instead of tackling them one at a time.

Click "Build in Parallel" to have it identify independent parts of your plan and run them simultaneously using async subagents. Cursor will keep dependent steps in order when needed.

Split changes into PRs

When multitasking in Cursor, you can now use a built-in quick action to split changes into PRs.

It will use chat context to identify logical slices, default to independent PRs unless dependencies are required, create a backup snapshot, and propose a split plan for your approval.

Pin skills as quick actions

You can now pin your most commonly used skills as quick-action pills for faster access.

  • Added the ability to control Explore subagent behavior from settings: choose a specific model for Explore subagents to run on, inherit the same model as the parent agent, or disable Explore subagents altogether.
  • Added support for general model names for subagent configuration (i.e., set model: opus to have subagents always use the newest Opus model).
  • /multitask is now available in the editor for running async subagents to parallelize your requests instead of adding them to the queue.
  • Improved prompt input undo grouping, so undo/redo feels more natural during edits.
  • Improved long-chat handling and reduced jumpiness and other surprising behaviors.
  • Made MCP connection behavior more predictable, and added explicit stale token cleanup on re-auth.

  • Fixed terminal interaction bugs in the agents window, including editing shortcut issues and approval/overlay edge cases.
  • Fixed several slash menu and input-approval regressions.
  • Fixed MCP auth edge cases, including transient 401 handling and stale credential behavior.
  • Fixed multi-repo environment selection and cache issues.
  • Fixed various cloud agent timing and hydration edge cases that could degrade reliability.