Cursor Launches Slack App to Trigger Autonomous Coding Tasks via Chat

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Cursor launched a Slack integration that allows teams to initiate coding tasks and generate pull requests by mentioning the AI agent in a conversation. This moves agentic coding from the IDE into the team's communication layer, allowing agents to use chat context to autonomously ship code.

Cursor, an AI-native code editor built by Anysphere, launched a Slack app that brings its autonomous coding agents into team conversations. By mentioning @Cursor in a channel, you can trigger an agentic loop (an iterative cycle of reasoning and action) that navigates your codebase to solve specific tasks.

This integration shifts agentic coding from a solo IDE activity to a collaborative team workflow. It builds on Cursor Automations by allowing human-triggered tasks to run in the background while the team continues discussing requirements. The agent maintains context from the Slack thread to ensure the resulting code matches the conversation.

You can now install the app to delegate bug fixes or feature requests directly from chat. This capability extends the intelligence gains from scaled model training, providing real-time updates before creating a pull request. It follows recent updates where cloud agents attach visual proof to their work, making asynchronous code generation more transparent.

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Mention @​Cursor to kick off tasks in Slack and see updates of its work streaming in real time. Cursor uses context in the thread and broader channels to create a PR for you to review and ship. https://t.co/p5ResrdpzV

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Still wondering? A few quick answers below.

You can initiate a task by mentioning the Cursor bot directly in a Slack channel or thread. Once tagged, the AI agent begins an autonomous loop to process your request. It monitors the conversation in real time, allowing you to see updates on its progress as it works through the coding task.

The Cursor agent analyzes the specific conversation thread where it was mentioned to understand the requirements. It also draws from broader channel history to gather necessary background information. This contextual awareness allows the agent to navigate the codebase and implement changes that align with the team's discussion without requiring manual file uploads.

After the AI agent completes the requested coding work, it automatically generates a pull request for your repository. This allows developers to review the code changes and ship them to production. The integration is designed to handle the entire workflow from a chat-based instruction to a ready-to-merge code contribution.

You can add the application to your workspace by visiting the installation page on the Cursor website. The setup process requires you to sign in to your Slack workspace and grant the necessary permissions for the bot to read messages and interact with your channels. Once installed, the agent is available to all team members.

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