How to Automate Code Generation from a Slack Message into a Pull Request

Describe a task or an idea for a code change in a Slack message. This text becomes the primary instruction for the AI agent, so include specific context and the desired outcome. For example, mention the target URL and the goal, like adding a code example to a documentation page.

Add a specific, pre-configured emoji reaction to the Slack message to activate the AI agent. The emoji name can specify which repository the agent should work in, for example,:create-minion-payserver:.

Once triggered, the system automatically spins up a fully-configured, isolated cloud development environment. This includes checking out a new git branch, setting up databases, and installing necessary tools like a VS Code server.

The AI agent, using a harness like Goose, takes the original Slack message as its core prompt. It then enters a loop to solve the task: searching the codebase, identifying files, modifying the code, running tests, and committing the changes.

After completing its task, the agent creates a pull request. Review the AI-generated code as you would any other submission. Check the diff, inspect the output from CI tests, and confirm the changes meet the original request's intent before approving and merging.