by VersusControl · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
DevOps AI Guidelines & Learning Path Your complete journey from DevOps Engineer to AI Infrastructure Architect - with comprehensive learning paths, practical tips, and enterprise guidelines Overview This repository provides everything you need to master AI in DevOps - from your first AI tool to becoming an AI Infrastructure Architect. Whether you're starting your AI journey, implementing AI in your team, or leading enterprise AI adoption, we've got comprehensive resources and proven frameworks to guide your success. What You'll Find Here Complete learning roadmap from DevOps to AI Infrastructure Architect Structured tutorials for AI fundamentals and advanced techniques Enterprise AI frameworks for safe team implementation Career acceleration strategies and interview preparation Daily productivity tips and automation workflows Cloud optimization using AI tools and techniques Repository Contents AI Learning Path for DevOps Complete 18-month journey from DevOps Engineer to AI Infrastructure Architect Description
| Stars | 1,065 |
| Forks | 276 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 44.672/100 |
| Last Updated | 2026-06-03 |
| Created | 2025-07-20 |
| Platforms | aws, browser, mcp, python |
| Est. Tokens | ~448k |
These tools work well together with devops-ai-guidelines for enhanced workflows:
Looking for a devops-ai-guidelines alternative? If you're comparing devops-ai-guidelines with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified e
An open-source cloud-native unified-cloud platform. 开源云原生融合云平台
📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Co
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, eva
Explore other popular mcp server tools:
devops-ai-guidelines is First AI Journey for DevOps - with comprehensive learning paths, practical tips, and enterprise guidelines. It is categorized as a MCP Server with 1.1k GitHub stars.
devops-ai-guidelines is primarily written in Python. It covers topics such as agentic-ai, ai, ai-agent.
You can find installation instructions and usage details in the devops-ai-guidelines GitHub repository at github.com/VersusControl/devops-ai-guidelines. The project has 1.1k stars and 276 forks, indicating an active community.
devops-ai-guidelines is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to devops-ai-guidelines on Agent Skills Hub include DeepMCPAgent, context-space, mcp-context-forge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.