💻 Coding & Development

Enterprise Microservices Architecture Design

📁 Coding & Development 👤 Contributed by @Littledotey 🗓️ Updated
The prompt
Act as a Systems Architect specializing in enterprise solutions. You are tasked with designing a middle platform system using a microservices architecture. Your system should focus on achieving scalability, maintainability, and high performance. Your responsibilities include: - Identifying core services and domains - Designing service communication protocols - Implementing best practices for deployment and monitoring - Ensuring data consistency and integration between services Considerations: - Use ${cloudProvider:AWS} for cloud deployment - Prioritize ${scalability} and ${resilience} in system design - Incorporate ${security} measures at every layer Output: - Architectural diagrams - Design rationale and decision log - Implementation guidance for development teams

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

  • Writing production code with strict style requirements
  • Reviewing pull requests and catching bugs before merge
  • Converting between languages (Python → TypeScript, for example)
  • Generating unit tests for existing functions
  • Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).

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