Midjourney Prompt for Creating E2E Tests
Midjourney, recognized for its power in AI image generation, can play an unexpected but strategic role in creating end-to-end (E2E) tests. While Midjourney does not directly generate test code, it excels in visualizing user journeys, creating reference mockups for visual tests, and producing flow diagrams illustrating test scenarios. By generating precise visual representations of each step of a user journey — from the homepage to order confirmation — you get visual support that facilitates writing comprehensive E2E tests. These visuals serve as living documentation for your QA team, clarify edge cases, and ensure every critical interaction is covered. Whether you're working on a complex web application or a mobile platform, using Midjourney to visually map your test scenarios transforms an abstract process into a concrete workflow shareable with the entire development team.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Create a detailed technical flowchart illustration showing an end-to-end testing workflow for a web application. Include visual steps: user login screen, product browsing page, shopping cart, checkout form, payment confirmation, and order summary. Each step connected by arrows with annotations showing test assertions (status codes, DOM elements, API responses). Clean UX documentation style, flat design, labeled components, white background, professional software engineering diagram --ar 16:9 --v 6 --style raw --q 2
Personalize this prompt with Léa
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
Why this prompt works
This prompt works because it structures the E2E journey into distinct, named visual steps, forcing Midjourney to generate a readable, sequential diagram. Using the 'raw' style and white background ensures a professional rendering suitable for technical documentation. Explicit annotations (status codes, DOM elements) guide the AI toward a result that looks like a real software engineering artifact rather than an artistic illustration.
Use Cases
Variants
Expected Output
You will get a professional technical flow diagram illustrating each step of the user journey with clear visual connections between screens. The result will resemble a QA specification document that you can share with your team to validate E2E test coverage and identify missing scenarios.
Frequently Asked Questions
Can Midjourney actually help create E2E tests?
Midjourney doesn't generate test code directly, but it's a powerful tool for the design and documentation phase of E2E tests. By creating visual flow diagrams, user journey mockups, and scenario maps, it allows your QA team to better understand and plan test coverage. These visuals then serve as a reference for writing test scripts in tools like Cypress, Playwright, or Selenium.
How do I use Midjourney images in my E2E test workflow?
Integrate the generated images into your test documentation as visual references. Use them in your Jira tickets or specifications to illustrate the journeys to be tested. They can also serve as a baseline for visual regression testing: compare screenshots of your application with the Midjourney mockups to detect UI discrepancies. Finally, present them during sprint planning sessions to align the team on critical scenarios.
Which Midjourney parameters should I prioritize for technical test diagrams?
Use the --style raw parameter to avoid artistic embellishments and achieve a result close to a technical document. The --ar 16:9 ratio is ideal for horizontal flow diagrams. Add --q 2 to maximize the quality of text details and annotations. Reduce stylization with --s 50 or less for a sober, professional result. Finally, always specify 'white background' or 'dark UI theme' to ensure readability in your documentation tools.
Improve this prompt
Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Pour un rendu vraiment exploitable, générez le flux sans texte : ajoutez `--no text` et `--stylize 0` afin d’éviter les faux libellés. Ensuite, surimposez vos assertions (statuts, DOM, API) dans Figma ou OmniGraffle. Variante utile : passez en `--style raw` avec `--ar 16:9` et un fond blanc pour faciliter l’intégration dans une doc technique.
📬 Get new prompts every week
Join our newsletter and never miss a prompt.
Go further
Similar Prompts
Implement rate limiting
Protect APIs from abuse
Set up semantic versioning automation
Automate semantic versioning
Prompt DALL-E to Create a Prototype
Creating visual prototypes is a crucial step in any product design process. Traditionally reserved for designers with specialized tools like Figma or Sketch, this phase can now be accelerated with DALL-E. By generating realistic visual mockups from text descriptions, DALL-E allows entrepreneurs, product managers, and developers to quickly materialize their ideas without advanced graphic skills. Whether you want to visualize a mobile app interface, a physical product, or an architectural concept, DALL-E transforms your descriptions into compelling visual representations. This approach considerably reduces the time between ideation and the first visual iteration, going from several days to a few minutes. The AI-generated prototype then serves as a basis for discussion with stakeholders, investors, or potential users, facilitating the collection of concrete feedback before investing in costly development. Mastering the art of prompting for prototype generation with DALL-E thus becomes a strategic skill for anyone wishing to innovate quickly and effectively.
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.