Mistral Prompt for Creating a Software Architecture
Mistral, the leading French AI model, excels in designing software architectures thanks to its deep understanding of design patterns and technical constraints. Whether you're starting a new project or restructuring an existing application, Mistral can help you define a solid, scalable, and maintainable architecture. By providing a well-structured prompt, you will get detailed recommendations on architectural pattern choices, separation of concerns, appropriate technologies, and inter-service communication strategies. The AI analyzes your business, technical, and organizational constraints to propose a coherent architecture that anticipates future changes. This guide provides optimized prompts to get the most out of Mistral for creating software architectures, from modular monoliths to microservices, as well as event-driven and hexagonal architectures. Each prompt is designed to produce deliverables that can be immediately used by your development team.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Act as a senior software architect with 15 years of experience. I am developing a project with the following characteristics:
- Business domain: [describe your domain, e.g., B2B e-commerce platform]
- Expected users: [number and type of users]
- Technical constraints: [existing stack, hosting, budget]
- Non-functional requirements: [performance, availability, security]
Design a complete software architecture following this structure:
- Overview: Textual diagram of the overall architecture with main components and their interactions
- Architectural pattern: Justify the choice of pattern (hexagonal, microservices, modular monolith, CQRS, event-driven...) based on constraints
- Module/service breakdown: List each module with its responsibilities, public interfaces, and dependencies
- Application layers: Detail the separation of layers (presentation, application, domain, infrastructure) with dependency rules
- Data strategy: Simplified data model, database selection, caching and synchronization strategy
- Inter-service communication: Protocols (REST, gRPC, events), resilience patterns (circuit breaker, retry, fallback)
- Cross-cutting concerns: Authentication, logging, monitoring, CI/CD, error handling
- Evolution plan: How this architecture can evolve over 12-24 months
For each decision, indicate the alternatives considered and why they were discarded. Provide code examples for key interfaces.
Personalize this prompt with LĂ©a
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Why this prompt works
This prompt works because it assigns a precise expert role to Mistral, activating its most advanced knowledge in software architecture. The 8-section structure forces a comprehensive and organized response, avoiding superficial answers. Asking for justification of alternatives pushes the model to comparative reasoning, producing more nuanced and contextualized recommendations.
Use Cases
Variants
Expected Output
You will receive a complete architecture document including a textual diagram of the architecture, details of each component with its responsibilities and interfaces, and justified technology recommendations. The result includes code examples for critical interfaces and an evolution plan, all directly usable as a basis for an ADR (Architecture Decision Record) or a technical specification document.
Frequently Asked Questions
Can Mistral generate actionable architecture diagrams?
Mistral doesn't directly generate images, but it can produce diagrams using textual notations (Mermaid, PlantUML, ASCII art) which you can then convert into visual diagrams. Explicitly ask for the desired format, for example: "Generate the diagram in Mermaid syntax." You can then paste the code into a tool like mermaid.live or embed it directly into your Markdown documentation. For C4 views, Structurizr DSL is also an effective output format.
How should I adapt the prompt if my project already uses a mandatory tech stack?
Explicitly list the technological constraints in the dedicated section of the prompt: frameworks, languages, databases, cloud services, and tools already in place. Add a line like "You must work with these technologies; do not suggest replacing them unless it is critical." Mistral will then adapt its architectural recommendations to the existing technologies rather than starting from scratch. If some components are negotiable, specify that to receive relevant alternatives.
Which version of Mistral is recommended for software architecture design?
For software architecture design, prefer Mistral Large, which offers the most advanced reasoning capabilities—essential for analyzing complex constraints and producing coherent recommendations. Mistral Medium is suitable for simple to intermediate architectures. Avoid Mistral Small for this type of task, as the depth of reasoning required to compare architectural patterns and anticipate long-term impacts demands a more powerful model. If you are using the Le Chat platform, select the Large model in the settings.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LĂ©aAI
Pour des résultats précis, remplacez les crochets par des données chiffrées (ex: "2000 req/s, 99,95% uptime, RTO < 1h"). L'IA adaptera alors le pattern et la résilience à votre réalité, évitant une architecture générique.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Sora Prompt for Creating E2E Tests
End-to-end (E2E) tests are essential for ensuring application reliability, but writing them remains time-consuming and repetitive. Sora, thanks to its advanced generation capabilities, makes it possible to automate the creation of complete E2E test scenarios in seconds. By formulating a precise prompt describing user journeys, expected interactions, and validation criteria, you obtain structured test suites covering nominal cases as well as edge cases. The prompt engineering approach applied to Sora transforms how QA and development teams approach test coverage. Instead of starting from a blank page, you describe the expected behavior of your application in natural language, and Sora generates the corresponding test code with appropriate assertions. This method significantly reduces the time needed to set up an E2E suite while maintaining a professional quality level. Whether you use Playwright, Cypress, or Selenium, the prompts presented here adapt to your technical stack and the complexity of your application.
Implement rate limiting
Protect APIs from abuse
GitHub Copilot Prompt for Creating a REST API
GitHub Copilot has become an essential assistant for developers looking to accelerate the creation of REST APIs. Thanks to its direct integration into the code editor, it understands the context of your project and generates structured code in real time. Whether you work with Node.js and Express, Python and FastAPI, or Java and Spring Boot, Copilot adapts to your tech stack to produce endpoints conforming to REST conventions. The main challenge lies in formulating the prompt: a well-structured prompt yields a complete API with data validation, error handling, authentication, and documentation. A vague prompt, on the other hand, will produce generic code requiring many adjustments. In this guide, we offer an optimized prompt that fully leverages GitHub Copilot's capabilities to generate a professional, testable, production-ready REST API. You will also discover variants adapted to your experience level as well as practical tips to get the most out of this tool on a daily basis.
Implement CSP with nonces
Prevent XSS with strict CSP