Skip to main content

Overview

AI Platform Engineer is a multi-agent system that streamlines platform operations by integrating with essential engineering tools:

  • 🚀 ArgoCD for continuous deployment for Kubernetes applications
  • 🚨 PagerDuty for incident management
  • 🐙 GitHub for github repos, issues, PRs
  • 🗂️ Jira for project/task management
  • 💬 Slack for communication channels

Each tool is managed by a specialized agent that automatically handles user requests—such as acknowledging incidents, merging pull requests, creating Jira tickets, sending Slack messages, and syncing ArgoCD applications.

Just describe your task — the platform intelligently routes your request to the right agent and tool, ensuring efficient, reliable execution across your engineering workflows.

In this guide, you’ll be running the Platform Engineer multi-agent system as the baseline example. This setup is designed to showcase core features and integrations for platform operations. For additional persona-based use cases (such as SRE, Developer, or custom workflows), please refer to the usecases section of the documentation.

💡 Example Prompts​

Here are some sample requests you can try with Platform Engineer:

  • 🚨 Acknowledge the PagerDuty incident with ID 12345
  • 🚨 List all on-call schedules for the DevOps team
  • 🐙 Create a new GitHub repository named 'my-repo'
  • 🐙 Merge the pull request #42 in the ‘backend’ repository
  • 🗂️ Create a new Jira ticket for the ‘AI Project’
  • 🗂️ Assign ticket 'PE-456' to user 'john.doe'
  • 💬 Send a message to the ‘devops’ Slack channel
  • 💬 Create a new Slack channel named ‘project-updates’
  • 🚀 Sync the ‘production’ ArgoCD application to the latest commit
  • 🚀 Get the status of the 'frontend' ArgoCD application