Diagram-Driven
Microservices
Generator with AI
Microservices
Generator with AI
Describe your backend, generate DBML diagrams, and safely evolve production-ready enterprise microservices with AI-powered regeneration, automated GitHub Actions pipelines, and Google Cloud Run deployments.
Start with AI or DBML — describe your system or design the schema
Deterministic codegen from DBML and DSL — CQRS + Mediator or Service per module
Regenerate as modules, tables, and endpoints evolve — custom logic stays in partial classes
API gateway, admin portal, and identity built into every project
Try generating with AI
Try generating with AI
DBML to Production Code
Draw your schema, add DSL annotations — QuickCode generates endpoints, handlers, and optimized Dapper SQL.
Safe Regeneration
Update your DBML and regenerate. Generated code updates while your custom logic stays untouched in partial classes.
Deploy to Cloud Run
Each project gets its own GitHub Actions pipeline deploying to Google Cloud Run — isolated builds, minimal setup.
Admin Portal
Group-based authorization, table-level permissions, and configurable endpoint workflows — without writing a line of UI code.
Generate Microservice with AI
Describe your complete microservice system in natural language, and our AI will automatically decompose it into multiple modules with optimized DBML schemas. Each module will have its own database, designed for scalability and microservice architecture best practices.
Design, Visualize, Code, Deploy
How QuickCode works — from diagram to production
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AI-Powered DBML Generation
Describe your backend in plain language or edit DBML in QuickCode Studio. AI (Gemini, OpenAI, Claude) proposes modules and schemas; you refine tables, relationships, and QuickCode DSL before generation.
Google Gemini
OpenAI
Anthropic Claude
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Why QuickCode is Different
QuickCode ships a full generated codebase—not one-off AI snippets. Add your own endpoints, services, and business logic on top; when you change DBML and regenerate, the fresh generated layer and your additions still work together.
Extend Generated Code
Use partial classes and your own files for custom behavior. QuickCode regenerates .g.cs scaffolding—it does not overwrite the code you added.
Regenerate Without Starting Over
Update tables, DSL, or modules in Studio, then regenerate. New APIs and migrations land while your extensions stay in place and keep compiling.
Real APIs from Day One
Working endpoints with Dapper and real database operations—not empty Swagger mocks.
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DBML, DSL & APIs
Every table gets automatic CRUD. In DBML table Notes, QuickCode DSL adds custom Query (read), Update, and Delete operations—each line becomes a REST endpoint with handlers and Dapper SQL.
Query, Update, Delete in Notes
Query: filters, joins, reports, and existence checks. Update: named state changes (e.g. mark paid, reduce stock). Delete: conditional or bulk deletes beyond delete-by-id CRUD.
CQRS or Service
Choose CQRS + Mediator or Service architecture per module.
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Full Microservices Stack
Every project includes per-module APIs, YARP gateway, admin portal, and IdentityModule—users, roles, and permissions without duplicating auth modules in your DBML.
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GitHub & Cloud Run
Generated code is pushed to GitHub under QuickCodeNet/{project-name}. GitHub Actions build containers and deploy to Google Cloud Run—gateway, portal, and module APIs.
GitHub
Cloud Run
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See the Full Walkthrough
This is the short version. For every step—from project setup and Studio to generation pipelines and the live demo—open How It Works or try the demo from the menu.