workflowstacks
mcp-server

devops-ai-guidelines: AI-Powered DevOps

Get comprehensive DevOps guidelines and learning paths with devops-ai-guidelines, for founders, with 1.3k+ GitHub stars.
1,407 stars370 forksPythonHealth Score 8/10Updated 8/11/2026100% free · open source
What it does

Devops-ai-guidelines provides comprehensive DevOps guidelines and learning paths for founders to improve their development and operations practices

Install / run
git clone https://github.com/VersusControl/devops-ai-guidelines.git
When to use it
  • •When setting up a new DevOps pipeline and needing guidance on best practices
  • •When trying to improve existing development and operations workflows
  • •When looking for practical tips and enterprise guidelines for DevOps implementation
Quick start
  1. 1Explore the README.md file for an overview of the project and its goals
  2. 2Navigate to the 'learning-paths' directory for comprehensive learning paths on DevOps
  3. 3Review the 'practical-tips' directory for actionable advice on improving DevOps practices
  4. 4Check the 'enterprise-guidelines' directory for guidelines on implementing DevOps in an enterprise setting
  5. 5Use the guidelines and learning paths to inform and improve your own DevOps workflow
Ready-to-paste prompt
Explore the 'getting-started' section in the README.md file to get started with devops-ai-guidelines
Heads up: The project is hosted on GitHub, so a GitHub account and git version control system are required to clone and use the repository
Saves to your device

Topics

agentic-ai
ai
ai-agent
amazon-web-services
artificial-intelligence
aws
cloud
copilot
devops
devops-learning
go
golang
langchain
mcp
openclaw
project-management
prompt-engineering
roadmap
How devops-ai-guidelines: AI-Powered DevOps works
Codeflow
Free to inspect

Devops-ai-guidelines: AI-Powered DevOps is a large Python project (~16k lines across 207 code files, plus 9 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Large codebase
~16k lines · 207 code files · ~2 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 59%Go 38%Makefile 1%Shell 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
03-ai-agent-for-devops/Folder224 files
02-mcp-for-devops/Folder127 files
07-evaluating-ai-agents/Folder17 files
resources/Folder17 files
04-ai-agent-for-monitoring/Folder15 files
05-ai-project-management/Folder12 files
06-sre-agent-brain/Folder12 files
01-ai-roadmap-for-devops/Folder6 files
READMEHas testsDocumentedNo CIMIT licenseUpdated this month
Quick Actions
Details
Creator
VersusControl
Language
Python
Category
mcp-server
Published
7/20/2025

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.

Related skills

More mcp-server tools founders pair with this one.

mcp-server★ 242,984
ECC: Optimize Performance
Get optimized performance with ECC, a research-first agent harness system for founders working with AI agents and developer tools like Claude Code and Codex
mcp-server★ 153,719
Dify: Streamline Workflow
Get a production-ready platform with Dify. For founders needing agentic workflow development.
mcp-server★ 150,115
open-webui: Easy AI Interface
Get a user-friendly AI interface with open-webui, supporting Ollama and OpenAI API, for founders, with 145k+ GitHub stars
mcp-server★ 106,674
gemini-cli: AI in your terminal
Get AI power with gemini-cli, for founders, 105k+ GitHub stars
mcp-server★ 82,036
LobeHub: 24/7 AI Team Management
Founders get organized AI operations with LobeHub. For startup founders managing AI teams.
mcp-server★ 76,702
Worldmonitor: Global Awareness
Get real-time global intelligence with worldmonitor, a unified dashboard for startup founders and teams, with 61k+ GitHub stars