Explore a real generated project — microservices, gateway, identity, GitHub Actions, and cloud deploy config — before you start building.
Explore Generated RepositoryAI-Powered Diagram-Driven Microservices Generator
Describe your business requirements to AI, and QuickCode turns them into production-ready enterprise microservices deployed to the cloud.
- Production-ready microservices from DBML, DSL, and AI-assisted design
- CQRS or Service per module, regenerate safely without losing custom code
- Gateway, identity, admin portal with live reports, and GitHub Actions deploy to Google Cloud Run
AI Project Analysis
Describe your product in natural language (optional PDF). QuickCode builds a reviewable module plan, then generates DBML per module.
Module AI Assist
Add a module or update one bounded context with AI — refine schema and DSL without rerunning a full project analysis.
Safe Regeneration
Change DBML and regenerate. Generated code updates while your custom logic stays in partial classes.
Deploy to Cloud Run
Each project gets its own GitHub Actions pipeline to Google Cloud Run — gateway, portal, and module APIs.
Start from a prompt
Describe your system in plain language. QuickCode Studio analyzes it into modules, you review the plan, then each service schema is generated.
Iterative generation loop
Analyze, Design, Visualize, Code, Deploy
Run the same workflow again whenever you extend your system, with QuickCode.
Analyze
Design
Visualize
Code
Deploy
Extend your schema and regenerate; custom code stays protected.
AI-Powered DBML Generation
Describe your business requirements 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
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.
Regenerate Without Breaking Your Code
Update tables, DSL, or modules in QuickCode Studio, then regenerate. New APIs and migrations land while your custom code in partial classes stays in place and keeps compiling, no manual merges.
Consistent Architecture
Every generated service follows the same patterns for logging, validation, auth, and CI/CD, so a new module looks like the ones your team already knows.
Real APIs from Day One
Working endpoints with Dapper and real database operations, not empty Swagger mocks.
AI Rule Pack (Persistent)
Every project ships AI guide files (AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions) that tell assistants where generated code ends and your code begins. Regeneration preserves them, so AI keeps following your project rules.
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.
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.
More Than CRUD: Media & Live Reports
The generated admin portal goes past table forms. Declare BLOB_IMAGE, BLOB_PDF, BLOB_VIDEO, or BLOB_FILE columns in DBML and get upload fields, list actions, and in-app preview. DSL Query operations become Live Reports with parameters, a result grid, and PDF/CSV export.
File & media columns
Image lightbox, PDF iframe, and HTML5 video preview without custom UI code. Files are stored as HTTPS object URLs on Azure Blob, any S3-compatible provider such as Cloudflare R2, or local disk in development, never as binary in the database.
Live Reports with Print & export
Set parameters, run the report, and see the matching GET API path on the page. Print & export lets you choose columns, set widths, reorder fields, then download PDF/CSV.
GitHub & Cloud Run
Generated code is pushed to GitHub under QuickCodeStudio/{project-name}. GitHub Actions build containers and deploy to Google Cloud Run, gateway, portal, and module APIs.
GitHub
Cloud Run
Microservices Architecture
Platform overview
QuickCode targets a modular microservice layout: each bounded context becomes an API with its own database, fronted by a single gateway and optional admin UI, not a monolith with shared tables.
- Gateway & portal: External APIs via YARP; admin users use the generated portal.
- Isolated services: One deployable API and database per module, plus central identity.
- Events: Kafka-backed listener service coordinates async workflows across modules.
- Observability: Gateway health checks plus logs and metrics in Elasticsearch/Kibana.
- Delivery: Generated CI/CD (e.g. GitHub Actions) toward runtimes such as Google Cloud Run.