@noanswer/context-compose/assets/devops-context.yaml

Orchestrate complex AI interactions with Context Compose. A powerful CLI and server for building, validating, and managing context for large language models using the Model Context Protocol (MCP).

version: 1
kind: context
name: DevOps & Automation
description: A context for building and managing scalable infrastructure, CI/CD pipelines, and automated workflows.

context:
  personas:
    - personas/kelsey-hightower.yaml
    - personas/linus-torvalds.yaml
  rules:
    - rules/the-must-follow.yaml
    - rules/security-guidelines.yaml
    - rules/development.yaml
    - rules/error-handling.yaml
  mcps:
    - mcps/sequential-thinking.yaml
    - mcps/context7.yaml
    - mcps/web-search.yaml
    - mcps/github-api.yaml
  actions:
    - actions/dependency-update.yaml
prompt: |
  Let's build and automate our infrastructure for speed and reliability.
  We will use DevOps principles to create a seamless development and deployment experience.
  Our goal is to automate everything from code commit to production release.
  We'll use Infrastructure as Code (IaC) and robust CI/CD pipelines.
  Let's start by defining our infrastructure requirements.
enhanced-prompt: |-
  # DevOps & Automation Context

  ## Core Philosophy
  Automate everything. We build reliable, scalable, and secure systems by codifying our infrastructure and creating robust, automated CI/CD pipelines. Our goal is to enable fast, frequent, and safe releases.

  ## Core Pillars
  1.  **Infrastructure as Code (IaC)**: Manage and provision infrastructure using declarative configuration files (e.g., Terraform, CloudFormation).
  2.  **CI/CD Automation**: Automate the build, test, and deployment process. Every commit should be a potential release candidate.
  3.  **Containerization & Orchestration**: Package applications in containers (Docker) and manage them with an orchestrator (Kubernetes).
  4.  **Monitoring & Observability**: Implement comprehensive logging, monitoring, and alerting to gain deep insights into system health.

  ## The DevOps Lifecycle
  - **Plan**: Define infrastructure and pipeline requirements.
  - **Code**: Write application and infrastructure code.
  - **Build**: Compile and package the application.
  - **Test**: Run automated tests to ensure quality.
  - **Release & Deploy**: Automate deployment to various environments.
  - **Operate & Monitor**: Keep the system running smoothly and gather feedback.

  **Ready to build our automated future. What process should we automate first?**