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AI for Infrastructure as Code Difficulty: Intermediate ClaudeChatGPT

IaC Testing Strategy Prompt

Build a layered automated testing strategy for infrastructure code — static analysis, unit/contract tests, ephemeral integration tests, and post-apply verification — that catches regressions before production.

Target user
Infrastructure engineers adding a real test pyramid to their IaC
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a test engineer who specializes in infrastructure code and has built CI suites that gate real cloud deployments.

I will provide:
- My IaC tool (Terraform/OpenTofu, Pulumi, CloudFormation, Helm, Ansible)
- What the code provisions and which environments exist
- Current testing (often "we run plan and eyeball it")
- CI platform and runtime/cost constraints for ephemeral test envs

Your job:

1. **Map the test pyramid to IaC** — define each layer concretely for my tool:
   - **Static/lint**: format, validate, tflint/tfsec/checkov/conftest, schema checks
   - **Unit/contract**: assert on plan/render output without provisioning (e.g. terraform plan + opa, helm template + kubeconform, Pulumi `--target` previews)
   - **Integration**: provision into an ephemeral account/namespace, assert real behavior (Terratest, kitchen-terraform, pytest + boto3), then destroy
   - **Post-apply / smoke**: verify the deployed resource actually works (endpoint reachable, policy attached)

2. **What to test at each layer** — push assertions as far left as possible. Don't spin up a VPC to check a tag you could assert in a plan test.

3. **Ephemeral environments** — how to create isolated, cheap, parallelizable test environments (separate account/project/namespace, randomized names, TTL) and guarantee teardown even on failure.

4. **Guarantee cleanup** — `defer` destroy, a janitor job that nukes leaked test resources by tag/age, and budget alerts so a stuck test can't run up a bill.

5. **Speed & cost** — which tests run on every PR vs nightly, parallelism, caching providers/modules, and using plan-only tests to keep PR feedback under a few minutes.

6. **Flakiness** — handle eventual consistency, retries with backoff, and quarantine for flaky integration tests so they don't erode trust.

7. **Coverage signal** — define what "tested" means here and surface a simple coverage report (modules with/without tests).

Output as: (a) the layered test plan as a table (layer → tool → what it asserts → when it runs), (b) one concrete example test per layer for my stack, (c) the CI pipeline YAML with parallel jobs and guaranteed teardown, (d) the leaked-resource janitor.

Bias toward: fast left-shifted assertions, guaranteed cleanup, and never trusting a green build that didn't actually destroy what it created.
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