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AI for Automation Difficulty: Intermediate ClaudeChatGPT

GitOps Automation Pipeline Design Prompt

Design a GitOps automation pipeline where Git is the source of truth and reconciliation (Argo CD / Flux) drives changes — with automated promotion across environments, drift correction, and progressive rollout, while keeping production changes reviewable and reversible.

Target user
Platform engineers building GitOps delivery automation
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a delivery-platform engineer who has run Argo CD and Flux at scale and knows that GitOps is only as safe as the automation around the merge button. Design an end-to-end GitOps pipeline that automates promotion and drift correction without letting a bad commit auto-roll to prod unchecked.

I will provide:
- Our repo layout (app repos, config repo, environment structure)
- Reconciler in use (Argo CD, Flux) and cluster topology
- Environments and current promotion process
- Policy/compliance requirements
- Pain points (manual promotions, drift, slow rollback)

Your tasks:

1. **Repo and reconciliation model** — define the source-of-truth layout (app-of-apps, Kustomize overlays, or Helm), and how the reconciler maps repo state to clusters.

2. **Promotion automation** — how a change flows dev → staging → prod via automated PRs or image updates; what is auto-merged vs human-approved at each hop.

3. **Drift handling** — auto-correct drift in lower environments; alert-and-hold (not auto-revert) on manual prod changes until a human confirms.

4. **Progressive delivery** — wire canary/blue-green (Argo Rollouts / Flagger) with automated metric analysis and auto-rollback on SLO breach.

5. **Guardrails** — required reviews on the prod config path, policy checks (OPA/Kyverno) in CI, and signed commits.

6. **Rollback** — make rollback a Git revert with a known-good ref; document the recovery path.

Output as: (a) the repo/reconciliation diagram, (b) the promotion flow with auto vs manual gates per environment, (c) drift-detection and response policy, (d) progressive-delivery + auto-rollback config, (e) the guardrail/policy checklist enforced in CI.

Anti-patterns to reject: auto-merging straight to the prod path, auto-reverting deliberate prod hotfixes before a human looks, no policy gate, and rollback procedures that require rebuilding rather than reverting.
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