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dot-ai

io.github.vfarcic/dot-ai

AI-powered development platform for Kubernetes deployments and intelligent automation

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DevOps AI Toolkit

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AI-powered platform engineering and DevOps automation through intelligent Kubernetes operations and conversational workflows.



Overview

DevOps AI Toolkit brings AI-powered intelligence to platform engineering, Kubernetes operations, and development workflows. Built on the Model Context Protocol (MCP), it integrates seamlessly with Claude Code, Cursor, and VS Code.

Why use a specialized toolkit? Learn what makes DevOps AI Toolkit different from general-purpose AI assistants: Why DevOps AI Toolkit?

Key capabilities:

  • Natural language cluster querying and exploration
  • Intelligent Kubernetes deployment recommendations
  • AI-powered issue remediation and root cause analysis
  • Organizational pattern and policy management
  • Automated repository setup with governance files
  • Shared prompt libraries for consistent workflows

Deployment Options

For the easiest setup, we recommend installing the complete dot-ai stack which includes all components pre-configured. See the Stack Installation Guide.

For individual component installation:

Read the Documentation

Support

Contributing & Governance

We welcome contributions from the community! Please review:

Help Us Improve

Your feedback shapes dot-ai's future! After using the tools, you may occasionally see a feedback prompt - we'd love to hear what's working and what could be better.

Share your feedback

License

MIT License - see LICENSE file for details.

Acknowledgments

DevOps AI Toolkit is built on:


DevOps AI Toolkit - Making cloud native operations accessible through AI-powered intelligence.