The Story

Cursor has introduced a new feature called Automations, enabling developers to deploy always-on AI agents that can run tasks automatically. These agents can be triggered by schedules or external events such as Slack messages, GitHub pull requests, Linear issues, or PagerDuty incidents.

How Cursor Automations work

• Event-driven triggers: Agents can run when certain events occur, such as a new issue being created, a pull request merging, or a message arriving in a team collaboration tool.
• Scheduled workflows: Developers can configure agents to run tasks automatically on predefined schedules.
• Webhook support: Teams can create custom triggers using webhooks to connect automations with internal tools and workflows.

Inside the automated agents

• Cloud sandbox execution: When triggered, the agent spins up a cloud sandbox environment to safely run the workflow.
• Tool integrations: Agents can access models, MCP integrations, and development tools configured by the user.
• Self-verification: The system verifies its output and can improve over time using stored memory from previous runs.

Use cases in software development

• Code review and monitoring: Agents can automatically check pull requests for style issues, security risks, and performance problems.
• Maintenance chores: Routine tasks such as generating changelogs, updating documentation, or triaging issues can be automated.
• Workflow scaling: Cursor says the feature helps teams keep pace with the increased volume of code produced by AI coding agents.

Why it matters

As AI tools accelerate code generation, the bottlenecks in software development are shifting toward review, monitoring, and maintenance. Cursor Automations aim to address this by enabling autonomous agents to manage repetitive engineering tasks in the background.

The feature reflects a broader industry shift toward persistent AI agents that operate continuously across development pipelines rather than acting only as interactive assistants.