Building a Visual Workflow → Code Generator System

Overview

Enterprise automation tools like Zapier, Power Automate, and n8n proved that modern software teams want automation without hand-coding everything. However, while most workflow engines run flows at runtime, businesses are now demanding something more valuable:

Convert a visually designed workflow directly into deployable, versioned**, production-ready .NET code.

This article explains how to design a system capable of:

• Visually building workflows using drag-and-drop blocks.

• Persisting workflow metadata in a workflow definition store.

• Generating executable .NET microservices or functions from the workflow model.

• Running workflows with validation, versioning, extensibility, and safe rollback.

Why Generate Code Instead of Executing Metadata?

Runtime workflow engines require:

• A workflow engine runtime dependency

• Interpreter overhead

• Specialized debugging skills

Generated code eliminates that dependency. Benefits:

Aspect	Traditional Workflow Runtime	Generated Code
Performance	Interpreted at runtime	Native compiled execution
Portability	Requires engine runtime	Runs anywhere as normal service
Debugging	Hard to debug	Standard .NET debugging
Compliance	Auditors reject metadata execution	Code is traceable and reviewable
Scaling	Stateful engine required	Scales via standard microservice patterns

High-Level Architecture

┌────────────────────┐
│ Visual UI Builder  │  (Drag + Drop)
└─────────┬──────────┘
          │ JSON Definition
          ▼
┌──────────────────────────┐
│ Workflow Definition API │
└─────────┬───────────────┘
          │ Stores Versioned Workflow Metadata
          ▼
┌──────────────────────────┐
│ Code Generation Engine   │
│ (Template + Compiler)    │
└─────────┬───────────────┘
          │ Emits .NET code
          ▼
┌───────────────────────────────┐
│ Generated Service Repository  │
└─────────┬─────────────────────┘
          │ Build + Deploy
          ▼
┌───────────────────────────────┐
│ Executing .NET Workflow App   │
└───────────────────────────────┘

Workflow Definition Model

Store the workflow metadata in a structured format such as:

{"workflowId": "invoice-processing","version": 3,"nodes": [
    { "id": "start", "type": "Trigger.Http" },
    { "id": "validate", "type": "Action.ValidateSchema" },
    { "id": "store", "type": "Action.Database.Insert" },
    { "id": "notify", "type": "Action.Email" }],"edges": [
    { "from": "start", "to": "validate" },
    { "from": "validate", "to": "store" },
    { "from": "store", "to": "notify" }]}

Code Generation Strategy

Two approaches exist:

Option 1: Template-Based Generation

• Use Razor templates, Scriban, or T4.

• Metadata fills placeholders in a code template.

Example node template

public async Task ExecuteNode_{{id}}(Context ctx)
{
    {{generatedBody}}
}

Option 2: Compiler AST Generation

• Use Roslyn to dynamically create and compile code.

• Enables linting, formatting rules, compilation validation.

Best choice: Use template generation first, move to AST generation when enterprise complexity grows.

Execution Engine Runtime (Minimal)

Even though workflows convert to code, you still need a small runtime:

Responsibilities:

• Dependency injection

• Retry policy

• Logging and correlation id propagation

• Node execution control and exception routing

• Workflow state persistence (optional)

Extensibility Model

Every workflow block type (API Call, DB Write, Delay, HTTP Trigger) maps to a class:

IWorkflowBlock
├── HttpTrigger
├── EmailAction
├── SQLWriteAction
└── ScriptAction (C#/LINQ)

New blocks can be registered via:

services.AddWorkflowBlock<MyCustomCRMIntegration>();

Versioning Strategy

• Every workflow modification creates a new version.

• Running instances continue on their original version.

• Deployment promotes the generated code version to production.

v1 → v2 → v3  (all co-exist)

Rollback = redeploy previous generated build.

Example Generated Service (Output)

public class InvoiceProcessingWorkflow : IWorkflow
{
    public async Task Run(WorkflowContext ctx)
    {
        await Execute_Trigger(ctx);
        await Execute_ValidateSchema(ctx);
        await Execute_InsertDatabase(ctx);
        await Execute_SendEmail(ctx);
    }

    private async Task Execute_SendEmail(WorkflowContext ctx)
    {
        await _email.SendAsync("[email protected]", "Invoice Created");
    }
}

Deployment and Execution Model

• Output can be built as:

  • Azure Function

  • .NET Worker Service

  • REST API

  • Serverless container (AWS Lambda, Azure Container Apps)

• CI/CD runs:

  • Unit generation checks

  • Code quality scans

  • Security policy validation

  • Automatic deployment to tenants/environments

Real-World Use Cases

Use Case	Why This Helps
Enterprise automation platform	Low-code → full-code support
Customer-specific business rules	Generate tailored workflows per tenant
Regulated industries	Auditable source code instead of metadata
On-premise deployments	No workflow runtime dependency

Future Enhancements

• AI-assisted workflow recommendation from historical behavior

• Round-trip engineering: Code → visual workflow regeneration

• Simulation mode (dry-run workflow execution)

Summary

A Visual Workflow → Code Generator system bridges the gap between low-code design and enterprise-grade deployment by enabling:

• Drag-and-drop workflow design

• Versioned storage of workflow metadata

• Automated generation of high-quality .NET code

• Production deployment without requiring a runtime workflow interpreter

This approach reduces development friction while still preserving maintainability, performance, compliance, and extensibility — making it a future-proof architecture for enterprise automation.