devops-ai-guidelines  by VersusControl

AI roadmap for DevOps professionals

created 4 weeks ago

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Project Summary

This repository offers a comprehensive roadmap and practical resources for DevOps professionals transitioning into AI, targeting individuals seeking career growth and organizations aiming for safe AI adoption. It provides structured learning paths, enterprise guidelines, and productivity tips to master AI infrastructure and workflows.

How It Works

The project outlines an 18-month learning journey from DevOps Engineer to AI Infrastructure Architect, featuring a visual roadmap with three phases. It includes guides for building AI agents with Golang and LangChain, and for setting up AI-powered MCP servers using Golang and Kubernetes. The approach emphasizes practical application and enterprise-grade frameworks for secure AI implementation.

Quick Start & Requirements

  • Individual DevOps Engineer: Start with "10 Essential AI Prompts for DevOps" for immediate productivity gains.
  • Team Lead/Manager: Review "AI Guidelines for DevOps Teams" for safe AI implementation and share prompts.
  • Organization/CTO: Implement AI Guidelines across teams and use all resources for training.
  • Resources: Primarily documentation-based, requiring no specific software installation beyond standard development tools. Links to specific guides are embedded within the README.

Highlighted Details

  • Complete 18-month AI learning roadmap for DevOps professionals.
  • Enterprise AI frameworks for safe team implementation.
  • Guides for building AI agents with Golang and LangChain.
  • Strategies for career acceleration and interview preparation.

Maintenance & Community

The repository is maintained by the DevOps VN community and was last updated in July 2025. Support is encouraged through starring the repository or sponsoring development.

Licensing & Compatibility

Licensed under the MIT License, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

The repository is documentation-centric, with no executable code provided for direct testing or benchmarking. The learning path is extensive, requiring significant time commitment for completion.

Health Check
Last commit

10 hours ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
0
Star History
287 stars in the last 28 days

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