# VersusControl/devops-ai-guidelines

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

Repository: https://github.com/VersusControl/devops-ai-guidelines
Canonical: https://ross.abutalabs.com/products/devops-ai-guidelines
Homepage: https://versusincident.com
Language: Python
License: MIT
License Family: permissive
Topics: ai, artificial-intelligence, aws, devops, devops-learning, prompt-engineering, roadmap, copilot, go, golang, ai-agent, langchain, amazon-web-services, cloud, mcp, openclaw, project-management, agentic-ai
Last push: 2026-08-21T12:12:33+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 35, longevity 29
- inputs: {"age_days": 409, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1430, forks 371 (observed 2026-08-28T04:04:42.196862+00:00)

## What it is
A curated learning repository guiding DevOps engineers from first AI tool usage to AI Infrastructure Architect, with an 18-month roadmap, MCP and AI agent tutorials in Golang, and enterprise AI adoption guidelines. It includes practical projects like an SRE monitoring agent and AI-driven project management guides.

## Use cases
- learn how to use AI as a DevOps engineer
- build an MCP server for DevOps with Golang and Kubernetes
- build an AI agent for incident monitoring and escalation
- adopt AI tools safely across an engineering team
- prepare for AI-related DevOps interviews
- automate daily DevOps workflows with AI
- find a roadmap from DevOps to AI infrastructure architect

## When to choose
- you are a DevOps/SRE engineer starting or advancing an AI journey
- you need structured tutorials on MCP servers and AI agents in Golang
- you want enterprise guidelines for team-wide AI adoption

## When to avoid
- you need production-ready AI tooling rather than guides and roadmaps
- you want AI learning content outside DevOps/SRE contexts
- you need a runnable framework or library rather than documentation

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, prompt-engineering, mcp, agent-framework, developer-tools
- domain: artificial-intelligence, tutorials, cloud-computing, awesome-lists
- platform: python, go, cloud, self-hosted
- tags: learning-path, ai-roadmap, sre-agent, enterprise-ai-adoption, career-development, langchain, copilot, devops, ai-agents

## Member repositories
- VersusControl/devops-ai-guidelines (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:42.196862+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:37:10.762165+00:00, confidence not recorded.
  - readme: https://github.com/VersusControl/devops-ai-guidelines (fetched 2026-08-28T04:04:42.196862+00:00, sha 864bc16fd52e)
  - homepage: https://versusincident.com (fetched 2026-08-29T11:48:42.800693+00:00, sha d57bb82eb2dd)
- Data as of 2026-08-30T08:39:29.467469+00:00.