Environment Parity

Maintain identical Terraform and AWS CDK infrastructure code across environments using configuration-only differences.

1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/nicolasmosquerar/AI-skills-for-Iac --skill environment-parity
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Environment Parity
Source: https://github.com/nicolasmosquerar/AI-skills-for-Iac/tree/main/.agent/skills/environment-parity
Command: npx skills add https://github.com/nicolasmosquerar/AI-skills-for-Iac --skill environment-parity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Environment parity means using the same infrastructure code across all environments, with only configuration values changing. This reduces "works on my machine" problems and ensures production behavior is tested before deployment.

Core Features & Use Cases

  • Single Codebase: maintain one set of IaC across dev, staging, and prod with environment-specific values injected via configuration.
  • Configuration-first approach: leverage Terraform tfvars or AWS CDK context to apply environment differences without changing the code.
  • Best practices: ensure resource structure and security configurations remain consistent while varying only settings; provide guidelines for testing parity.
  • Use Case: deploy the same Terraform/CDK code to dev and prod by toggling instance sizes, counts, and retention values through configuration files or contexts.

Quick Start

Clone the repository and apply environment-specific configurations to deploy consistently across environments.

Frequently Asked Questions about Environment Parity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I maintain environment parity in Terraform across dev, staging, and production?

Maintain environment parity in Terraform by using a single codebase and injecting environment-specific values through tfvars files. This approach ensures resource structures stay identical across dev, staging, and prod while only settings like instance sizes vary.

What is the best way to manage environment-specific configurations in AWS CDK without changing code?

Manage environment-specific configurations in AWS CDK by using context variables to pass per-environment settings. This configuration-first approach allows you to deploy identical infrastructure code across environments without altering the codebase itself.

Why does my infrastructure code behave differently in production compared to staging?

Infrastructure behaves differently across environments when parity is broken by maintaining separate codebases. Enforcing a single codebase with configuration-only differences via tfvars or CDK context eliminates these inconsistencies and reduces deployment risks.

Can I use environment parity practices to test production infrastructure behavior before deployment?

Yes, environment parity practices test production behavior before deployment by running identical infrastructure code in dev and staging. You toggle only configuration values like instance sizes and counts, ensuring the resource structure and security configurations remain consistent.

Does this environment parity approach support both Terraform and AWS CDK workflows?

Yes, this environment parity approach supports both Terraform and AWS CDK workflows. It leverages tfvars for Terraform and context for AWS CDK to apply environment differences, ensuring a single codebase is used without altering the underlying infrastructure code.

What are the limitations of using a single codebase for infrastructure across all environments?

A limitation of using a single codebase for infrastructure is that resource structures must remain consistent across all environments. You can only vary settings like instance sizes and retention values, meaning fundamentally different architectural needs per environment are not supported by strict parity.