How AI Agents Scaffold Your Projects

Ever wondered what happens when you hit “Generate Project” in BuildGreenfield? Let’s pull back the curtain on our multi-agent AI architecture.

The Challenge of Code Generation

Generating a full-stack application is more complex than writing a single file. You need to:

• Coordinate multiple layers (frontend, backend, database)
• Ensure consistency across files
• Follow best practices for each technology
• Wire integrations correctly
• Generate working tests

A single AI model struggles with this complexity. So we built a team of specialized agents.

Multi-Agent Architecture

Think of our system like a development team where each member has a specific role.

The Architect Agent

Role: Plans the overall structure

Responsibilities:

• Analyzes your project description
• Recommends tech stack
• Designs system architecture
• Defines API contracts
• Creates file structure

Output: A detailed specification that guides other agents

The Backend Agent

Role: Generates server-side code

Responsibilities:

• Creates API endpoints
• Implements business logic
• Configures middleware (auth, CORS, rate limiting)
• Sets up error handling
• Generates API documentation

Tech: Express, FastAPI, Go Fiber (depending on stack)

Example output:

// src/api/routes/tasks.ts
import { Router } from 'express';
import { authenticate } from '../middleware/auth';
import { TaskController } from '../controllers/TaskController';

const router = Router();
const taskController = new TaskController();

router.get('/tasks', authenticate, taskController.list);
router.post('/tasks', authenticate, taskController.create);
router.put('/tasks/:id', authenticate, taskController.update);
router.delete('/tasks/:id', authenticate, taskController.delete);

export default router;

The Frontend Agent

Role: Builds the user interface

Responsibilities:

• Creates components and layouts
• Implements routing
• Connects to backend APIs
• Styles with Tailwind/styled-components
• Handles form validation

Tech: React, Vue, Svelte (your choice)

Example output:

// src/components/TaskList.tsx
import { useEffect, useState } from 'react';
import { api } from '../lib/api';
import { TaskCard } from './TaskCard';

export function TaskList() {
  const [tasks, setTasks] = useState([]);
  const [loading, setLoading] = useState(true);

  useEffect(() => {
    api.getTasks().then(setTasks).finally(() => setLoading(false));
  }, []);

  if (loading) return <div>Loading...</div>;

  return (
    <div className="grid gap-4">
      {tasks.map(task => (
        <TaskCard key={task.id} task={task} />
      ))}
    </div>
  );
}

The Database Agent

Role: Designs and manages data

Responsibilities:

• Creates database schema
• Generates migrations
• Sets up indexes
• Configures relationships
• Creates seed data

Tech: Prisma, Drizzle, SQLAlchemy (ORM layer)

Example output:

// prisma/schema.prisma
model Task {
  id          String   @id @default(uuid())
  title       String
  description String?
  status      Status   @default(TODO)
  dueDate     DateTime?
  assignedTo  User?    @relation(fields: [userId], references: [id])
  userId      String?
  createdAt   DateTime @default(now())
  updatedAt   DateTime @updatedAt

  @@index([userId])
  @@index([status])
}

enum Status {
  TODO
  IN_PROGRESS
  DONE
}

The Test Agent

Role: Ensures code quality

Responsibilities:

• Generates unit tests
• Creates integration tests
• Writes E2E test scenarios
• Sets up test fixtures
• Configures CI/CD

Tech: Jest, Pytest, Playwright

Example output:

// tests/api/tasks.test.ts
import request from 'supertest';
import { app } from '../../src/app';
import { createTestUser, createTestTask } from '../fixtures';

describe('Tasks API', () => {
  it('should list user tasks', async () => {
    const user = await createTestUser();
    const task = await createTestTask({ userId: user.id });

    const response = await request(app)
      .get('/api/tasks')
      .set('Authorization', `Bearer ${user.token}`);

    expect(response.status).toBe(200);
    expect(response.body).toHaveLength(1);
    expect(response.body[0].title).toBe(task.title);
  });
});

The DevOps Agent

Role: Handles deployment

Responsibilities:

• Configures Docker containers
• Sets up CI/CD pipeline
• Provisions infrastructure
• Configures monitoring
• Generates deployment docs

Tech: Docker, GitHub Actions, Terraform

Coordination & Communication

How do agents work together without stepping on each other’s toes?

Shared Context

All agents have access to:

• Original project description
• Architecture spec from Architect Agent
• Type definitions and interfaces
• API contracts

Path Scoping

Each agent can only modify files in its domain:

• Backend Agent → src/api/, src/services/
• Frontend Agent → src/components/, src/pages/
• Database Agent → prisma/, migrations/

This prevents conflicts and makes changes traceable.

Validation Pipeline

Before any change is committed:

1. Syntax Check: Is the code valid?
2. Type Check: Do types match?
3. Lint: Does it follow style guidelines?
4. Test: Do tests pass?

Only validated changes make it into your project.

Iteration & Refinement

When you request changes:

1. Intent Analysis: What’s the user asking for?
2. Agent Selection: Which agent(s) should handle this?
3. Code Generation: Agent produces updated code
4. Validation: Tests run automatically
5. Deployment: New preview deployed

Example request:

“Add email notifications when a task is assigned”

Agents involved:

• Backend Agent: Creates email service, adds notification logic
• Frontend Agent: No changes needed
• Database Agent: No schema changes needed
• Test Agent: Adds tests for email service

Challenges & Solutions

Challenge: Consistency

Problem: Different agents might make conflicting assumptions.

Solution: Shared type definitions. Frontend and backend agree on data shapes from day one.

Challenge: Integration

Problem: Components need to work together seamlessly.

Solution: API contracts defined upfront. Frontend knows exactly what endpoints to call.

Challenge: Quality

Problem: Generated code must be production-ready.

Solution: Automated testing + best practice templates + code review heuristics.

What’s Next?

We’re constantly improving our agents:

• Smarter context awareness: Agents learn from your coding style
• More languages: Rust, Java, Ruby support coming soon
• Custom agents: Define your own team composition
• Human-in-the-loop: Review and approve changes before commit

Try It Yourself

Experience multi-agent code generation: Start a free project

Want to dive deeper? Check our documentation or join our community.