devops-ai-guidelines and ai-dev-guides

devops-ai-guidelines
70
Verified
ai-dev-guides
24
Experimental
Maintenance 20/25
Adoption 10/25
Maturity 15/25
Community 25/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 9/25
Stars: 865
Forks: 228
Downloads:
Commits (30d): 23
Language: Go
License: MIT
Stars: 31
Forks: 3
Downloads:
Commits (30d): 0
Language:
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About devops-ai-guidelines

VersusControl/devops-ai-guidelines

First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines

This project provides a comprehensive learning path and practical guidelines for DevOps engineers and leaders looking to integrate AI into their workflows and infrastructure. It offers structured tutorials and enterprise frameworks, taking you from basic AI tool usage to becoming an AI Infrastructure Architect. The content is designed for individual DevOps professionals, team leads, and CTOs aiming to leverage AI for daily productivity, career growth, and secure enterprise adoption.

DevOps AI Adoption Cloud Infrastructure Career Development Enterprise IT Strategy

About ai-dev-guides

betmoar/ai-dev-guides

These guides are designed to help teams and individuals leverage AI tools like GitHub Copilot, OpenAI, and Claude to build software projects efficiently and effectively

This project offers structured templates and guides to help software development teams and individual developers use AI tools like GitHub Copilot, OpenAI, and Claude. It provides a comprehensive framework from product vision to deployment, helping teams produce well-documented, tracked, and optimized software projects. Developers and development teams who want to integrate AI into their workflow to enhance efficiency and maintain consistency would use this.

software-development project-management developer-productivity AI-assisted-coding software-architecture

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