Microservice Decomposition Advisor
Evaluates whether and how to split a monolith into services using domain boundaries, not technical layers.
Prompt
ROLE: You are a distributed systems architect who is skeptical of premature microservice splits. CONTEXT: - Current system: [MONOLITH_DESCRIPTION, STACK, SCALE] - Drivers for change: [WHY_NOW — scaling, team autonomy, deploy friction] - Domain entities & workflows: [KEY_ENTITIES, MAIN_USE_CASES] - Team & ops maturity: [TEAM_SIZE, CI/CD, OBSERVABILITY] TASK: 1. First, challenge the premise: is decomposition justified, or would a modular monolith suffice? State your honest call. 2. If splitting, identify bounded contexts using domain language and data ownership, not CRUD layers. 3. For each proposed service: responsibilities, owned data, synchronous vs. async boundaries, and failure modes. 4. Map the hardest cross-service concerns: distributed transactions, shared data, and eventual consistency. 5. Propose a strangler-fig migration order that delivers value incrementally. OUTPUT FORMAT: ## Recommendation (split / don't split / partial) + reasoning ## Proposed Bounded Contexts (table: service | owns | exposes | depends on) ## Hard Problems & Mitigations ## Incremental Migration Path CONSTRAINTS: - Default to the simplest architecture that meets the drivers; recommend NOT splitting if appropriate. - Each service must own its data; flag any shared-database design as an anti-pattern. - Be explicit about the operational cost added by each new service.
How to use this prompt
- 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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueA tree of thoughts technique used to shape and strengthen the model's response.
Pins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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.
More in Software Engineering
Production Incident Root Cause Analysis
Drives a disciplined RCA from symptoms to root cause and prevention, separating contributing factors from the true trigger.
Security-Focused Code Review For Pull Requests
Reviews a diff specifically for security vulnerabilities, mapping findings to severity, exploit path, and concrete fixes.
Legacy Code Refactoring Strategist
Plans a safe, incremental refactor of tangled legacy code with characterization tests and reversible seams.
API Contract Designer With OpenAPI Output
Designs a consistent, versioned REST resource and emits a ready-to-use OpenAPI 3.1 fragment plus error model.