"How to build microservices with just one prompt?"
Conduct experiments in a dedicated /experiment branch, documenting ideas and improvements via GitHub Issues. Iteratively address current challenges and share accumulated findings in the OpenSource community. Within ~100 iterations — is to produce a robust base template for launching Cursor projects from scratch. This template will allow a single well-formulated idea from a Project Manager to generate a ready-to-use backend microservice in full compliance with corporate quality standards: code style, task planning, git-flow, pull requests, tests, documentation.
I see great potential in using Cursor for building Proof Of Concept projects. If the product hypothesis is validated, the solution can be handed over to experienced Senior developers for implementation.
- Come up with an idea for a project you want to generate
- Take the base template and start the work
- Bring the experiment to a tangible result
- Add a GitHub Issue with the tag
"idea", describing the essence of the idea and the expected outcome - Attach a link to the GitHub repository with the experiment (to review what the AI agent did)
- Propose a plan for how to implement the idea
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes
- Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
- TaskMaster AI - The core task management system
- Cursor - The AI-powered code editor this template is designed for
- Сursor Vibe Coding Template - Base template for experiments
This template was inspired by several excellent resources in the AI development community:
- Awesome Cursor Rules - Cursor Rules
- Viktor Farcic's YouTube Automation - Reference implementation of AI-powered development workflows
- My Workflow With AI: How I Code, Test, and Deploy Faster Than Ever - Comprehensive guide to AI-assisted development workflows by Viktor Farcic
- AI Labs Video - Insights on AI development practices and tooling
These resources provided valuable insights into structuring AI-powered development workflows, MCP server integration, and best practices for vibe coding with AI assistants.
Happy vibe coding! 🎵✨