Cursor Launches Automations to Run Always-On Coding Agents

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· Updated

Cursor launched Automations, letting teams run always-on AI agents triggered by GitHub PRs, Slack messages, PagerDuty incidents, or custom schedules. Agents review code, triage bugs, and write missing tests in a cloud sandbox — with memory that improves across runs.

Cursor launched Automations, a feature that deploys AI agents running continuously on schedules or event triggers. Triggers include Slack messages, Linear issues, GitHub PR opens, PagerDuty incidents, and custom webhooks. Each agent runs in a cloud sandbox using the MCPs and models you configure, verifies its own output, and builds memory to improve over time. Two categories have emerged: review and monitoring (security audits, PR risk classification, incident response) and chores (weekly change summaries, test coverage, bug triage).

This brings agentic coding into the background of the development lifecycle. Code generation has accelerated fast, but review and maintenance haven't kept pace — Automations targets that gap, letting small teams run continuous code intelligence at a scale that previously required dedicated headcount.

Try creating an automation from the Automations dashboard or pick a pre-built template in the Cursor Marketplace. The docs cover configuring triggers, connecting MCPs, and chaining multiple agents.

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