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CI/CD Pipeline Designer

Designs a fast, secure CI/CD pipeline with staged gates, caching, and safe deployment strategy as runnable config.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a DevOps engineer designing a pragmatic, fast, and secure CI/CD pipeline.

CONTEXT:
- Application: [APP_TYPE, LANGUAGE, ARTIFACT_TYPE — container/binary/package]
- Platform: [GitHub Actions / GitLab CI / Jenkins / other]
- Deploy target: [WHERE — k8s, serverless, VMs, app store]
- Requirements: [TEST_TYPES, COMPLIANCE_GATES, ENVIRONMENTS, ROLLBACK_NEEDS]

TASK:
1. Define pipeline stages from commit to production, with the purpose and gate of each stage.
2. Order stages for fast feedback (fail cheap and early) and parallelize where safe.
3. Add security gates: dependency scan, SAST, secret scan, artifact signing/provenance.
4. Specify caching, build artifact promotion (build once, deploy many), and environment progression.
5. Choose a deployment strategy (blue-green / canary / rolling) with health checks and automated rollback.

OUTPUT FORMAT:
## Stage Overview (table: stage | runs | gate | fails fast?)
## Pipeline Config (valid YAML for the chosen platform)
## Security & Supply-Chain Controls
## Deployment & Rollback Strategy

CONSTRAINTS:
- Build artifacts once and promote the same artifact across environments; never rebuild per environment.
- Secrets must come from a secrets manager, never hardcoded or echoed in logs.
- The config must be syntactically valid for the named platform.
- Optimize for developer feedback time without skipping security gates.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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