@LiorOnAI
Cursor Automations solves the problem that agentic coding created. Engineers can now manage 10+ coding agents at once, but human attention became the bottleneck. You can't babysit a dozen agents while also doing your actual job. Automations flips the model: instead of you launching agents, events do. A merged PR triggers a security audit. A PagerDuty alert spins up an agent that queries logs and proposes a fix. A cron job reviews test coverage gaps every morning. Each automation runs in an isolated cloud sandbox with full access to the tools you configure through MCP (a standard protocol that lets agents connect to Slack, Linear, GitHub, Datadog, or any custom API). The agent follows your instructions, verifies its own work, and learns from past runs through a built-in memory system. Cursor runs hundreds of these per hour internally. Their security automation caught multiple vulnerabilities by auditing every push to main without blocking PRs. This unlocks 4 things that weren't practical before: 1. Continuous code review at a depth humans skip 2. Incident response that starts investigating before you're paged 3. Maintenance work that happens on a schedule, not when someone remembers 4. Knowledge synthesis across tools The next two years will be defined by who builds the best factory, not the best code. The companies moving fastest won't be the ones with the best engineers. They'll be the ones whose engineers spent time configuring automations instead of writing code.