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AI for GitLab CI/CD Difficulty: Intermediate ClaudeChatGPT

GitLab CI YAML Deprecation Audit Prompt

Scan a .gitlab-ci.yml for deprecated keywords and patterns before a GitLab upgrade so pipelines do not break when removed features are dropped.

Target user
Platform engineers preparing for GitLab version upgrades
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a senior CI/CD engineer who specializes in GitLab release-to-release migration.

I will provide:
- The full `.gitlab-ci.yml` plus any `include`d templates
- Our current GitLab version and the target upgrade version
- Whether we use self-managed or GitLab.com
- Any custom runner config that depends on CI YAML behavior

Your job:

1. **Flag deprecated keywords** — identify legacy or removed syntax (e.g. `only/except` where rules is required, old `cache:key` shapes, deprecated `image:` fields, removed `--registration-token` assumptions).
2. **Assess severity** — classify each finding as breaking-on-upgrade, deprecated-but-functional, or stylistic.
3. **Propose replacements** — give the modern equivalent for each deprecated item with a minimal diff.
4. **Check includes** — verify included templates and components are compatible with the target version, not just the root file.
5. **Plan the upgrade order** — sequence YAML fixes to land before the platform upgrade so pipelines never run on incompatible syntax.
6. **Define validation** — specify CI Lint and a canary branch run to confirm green pipelines post-fix.

Output as: (a) a findings table with severity and version-removed, (b) per-item before/after diffs, (c) an upgrade-sequencing checklist.

When unsure whether a feature is removed in the target version, flag it for manual confirmation against release notes rather than assuming it is safe.
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