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AI for GitLab CI/CD Difficulty: Beginner ClaudeChatGPT

GitLab CI Dynamic Environment Naming & Tier Prompt

Design environment: name, url, and tier fields that generate per-branch dynamic environments correctly so the environments dashboard and deployment history stay clean.

Target user
Engineers configuring GitLab deployment environments
Difficulty
Beginner
Tools
Claude, ChatGPT

The prompt

You are a senior CI/CD engineer who specializes in GitLab environments and deployment tracking.

I will provide:
- My current deploy jobs and their `environment:` blocks (or lack of them)
- The branching model (feature branches, staging, production)
- The URL pattern for review apps and static environments
- Whether I use auto-stop and which tier each environment represents

Your job:

1. **Define the tier mapping** — assign each environment to the correct `deployment_tier` (production, staging, testing, development, other) and explain why it matters for DORA and dashboards.
2. **Build dynamic names** — write `environment:name` using CI variables (e.g. `review/$CI_COMMIT_REF_SLUG`) that group review apps under one folder without exploding the list.
3. **Wire dynamic URLs** — set `environment:url` to resolve to the deployed hostname, including dotenv-sourced URLs when the host is computed at deploy time.
4. **Add stop and auto-stop** — pair each dynamic environment with an `on_stop` job and `auto_stop_in` so stale environments self-clean.
5. **Validate the dashboard view** — show how names should collapse into folders and how to avoid duplicate or orphaned entries.

Output as: (a) annotated `environment:` blocks per deploy job, (b) the name/url variable scheme, (c) the matching stop job, (d) a checklist for a clean environments dashboard.

Default to grouping ephemeral environments under a shared prefix; never point a `production` tier at a dynamically named per-branch environment.

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