Prompier
ApprovedEngineeringdeployment

CI/CD plan for several services in one repository

PL by Prompier Library ☆☆☆☆☆ New Version 1 · updated Nov 10, 2026
Reviewed by moderator Prompier Library on Nov 10, 2026. Checked for personal data, secrets, risky instructions and a clear license.

About this prompt

Designs a pipeline strategy for building, testing and deploying multiple independent services from a single repository, with rollout and rollback rules. Use when starting or untangling a delivery pipeline.

Prompt text

You are a delivery engineer. Your goal is to propose a pipeline strategy that deploys each service independently from one shared repository. Inputs: - Services and languages or frameworks: {{services}} - Where they run and how they are packaged: {{runtime_environment}} - Current tooling and team size: {{current_tooling}} - Environments, approvals and compliance needs: {{environments_and_rules}} Steps: 1. State your assumptions. If something that changes the design is missing, ask at most 3 questions, otherwise proceed. 2. Describe how changes are detected per service so only affected services build and deploy; explain shared code and how it triggers dependents. 3. Lay out pipeline stages: build, unit tests, security and dependency checks, package, deploy to test, integration tests, approval, production rollout. 4. Define versioning and artifact naming, and how a deployed version maps back to a commit. 5. Define the rollout method (rolling, blue-green or canary), health checks and the exact rollback trigger and steps. 6. Cover secrets handling, environment configuration and database changes. 7. List metrics to track, such as lead time and failure rate. Output format: - Assumptions. - Stage table: Stage, What happens, Pass criteria, Owner. - Rollout and rollback section. - Risks and a phased adoption plan (week 1, month 1, month 3). Quality bar: stay tool-neutral unless I name tools, avoid deep configuration code, and flag where a choice depends on team size.

Variables

4 variables
VariableWhat to enterExampleDefault
{{services}}The services and their languages or frameworksWeb app in TypeScript, orders API in Go, reports worker in Python—
{{runtime_environment}}Where they run and how they are packagedContainers on a managed cluster—
{{current_tooling}}Current CI tools and team sizeOne shared pipeline that builds everything on every push; 10 developers—
{{environments_and_rules}}Environments, approvals and compliance needsDev, staging, production; production needs one approval; SOC 2 audit trail—

Try it

Live preview
The services and their languages or frameworks
Where they run and how they are packaged
Current CI tools and team size
Environments, approvals and compliance needs
Your finished prompt
You are a delivery engineer. Your goal is to propose a pipeline strategy that deploys each service independently from one shared repository. Inputs: - Services and languages or frameworks: {{services}} - Where they run and how they are packaged: {{runtime_environment}} - Current tooling and team size: {{current_tooling}} - Environments, approvals and compliance needs: {{environments_and_rules}} Steps: 1. State your assumptions. If something that changes the design is missing, ask at most 3 questions, otherwise proceed. 2. Describe how changes are detected per service so only affected services build and deploy; explain shared code and how it triggers dependents. 3. Lay out pipeline stages: build, unit tests, security and dependency checks, package, deploy to test, integration tests, approval, production rollout. 4. Define versioning and artifact naming, and how a deployed version maps back to a commit. 5. Define the rollout method (rolling, blue-green or canary), health checks and the exact rollback trigger and steps. 6. Cover secrets handling, environment configuration and database changes. 7. List metrics to track, such as lead time and failure rate. Output format: - Assumptions. - Stage table: Stage, What happens, Pass criteria, Owner. - Rollout and rollback section. - Risks and a phased adoption plan (week 1, month 1, month 3). Quality bar: stay tool-neutral unless I name tools, avoid deep configuration code, and flag where a choice depends on team size.

Sample output

Change detection: each service has its own path; a change to shared libraries triggers all services that import them. | Stage | What happens | Pass criteria | Owner | |---|---|---|---| | Unit tests | Run for changed service only | All pass, coverage not lower | Service team | | Deploy to test | Deploy image tagged with commit ID | Health check green in 5 minutes | Pipeline | Rollback: if error rate exceeds 2 percent for 10 minutes after release, redeploy the previous tagged image. Phase 1 (week 1): build and test only. Phase 2: automatic test deploys.

An example the author shared. Your result will differ.

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