V7-Twin.ai
Digital Twin Multi-Agent Simulation Console
System Status
OPERATIONAL
Token Usage
0
/ 128,000
Pipeline State
IDLE
Local Time
00:00:00
Enter a prompt to start building!
0
Active Agents
0
Tasks Completed
0
Success Rate (%)
0
Events Processed
Agent Status Matrix
Live state of the 7-agent autonomous pipeline
Pipeline Visualization
Request → Architect → Parallel Dev → Review Loop → QA → Docs → Release
Live Event Console
Band API event stream
Artifact Hub
Outputs generated across the pipeline
{
"platform": "V7-Twin.ai Platform",
"pattern": "Multi-Agent Orchestration",
"communication_layer": "Band Event Bus (app.band.ai)",
"pipeline": [
{ "agent": "ArchitectAgent", "role": "Compiles system specifications" },
{ "agent": "FrontendDevAgent", "role": "Generates React component code" },
{ "agent": "BackendDevAgent", "role": "Generates FastAPI route handlers" },
{ "agent": "CodeReviewerAgent", "role": "Performs security and bug checks" },
{ "agent": "QATesterAgent", "role": "Writes complete pytest suites" },
{ "agent": "TechWriterAgent", "role": "Writes README documentation" },
{ "agent": "ReleaseManagerAgent", "role": "Verifies gates and merges changes" }
],
"status": "Ready. Enter a prompt to trigger the agent network."
}
Frontend.jsx
Iteration 1
// DevFlow AI - Default Demo Component
import React, { useState, useEffect } from 'react';
import { useBandBus } from '@band-sdk/react';
export default function AgentPipelineMonitor() {
const { events, triggerPipeline } = useBandBus();
const [activeRuns, setActiveRuns] = useState([]);
return (
<div className="p-6 bg-slate-900 rounded-xl">
<h3 className="text-lg font-bold">Orchestration Monitor</h3>
<div className="space-y-2 mt-4">
{events.map(evt => (
<div key={evt.id} className="flex justify-between">
<span className="text-cyan-400">{evt.sender}</span>
<span className="text-slate-400">{evt.message}</span>
</div>
))}
</div>
</div>
);
}
backend.py
Iteration 1
# DevFlow AI - Default Demo FastAPI Gateway
from fastapi import FastAPI, Depends, HTTPException
from core.orchestrator import run_agent_pipeline
from core.auth import get_current_user
app = FastAPI(title="DevFlow AI Gateway")
@app.post("/api/sessions")
async def trigger_pipeline(
prompt: str,
user = Depends(get_current_user)
):
# Triggers the autonomous agent pipeline
if not prompt:
raise HTTPException(status_code=400, detail="Prompt empty")
session_id = await run_agent_pipeline(
user_id=user.id,
feature_prompt=prompt
)
return {"status": "success", "session_id": session_id}
pytest
Framework
test_pipeline.py
Test File
98%
Coverage Estimate
# DevFlow AI - Default Demo Test Suite
import pytest
from fastapi.testclient import TestClient
from api_gateway import app
client = TestClient(app)
def test_pipeline_trigger_unauthorized():
response = client.post("/api/sessions", params={"prompt": "Build dashboard"})
assert response.status_code == 401
def test_pipeline_trigger_success(mock_auth):
response = client.post(
"/api/sessions",
params={"prompt": "Build dashboard"},
headers={"Authorization": "Bearer mock-token"}
)
assert response.status_code == 201
assert "session_id" in response.json()# DevFlow AI Platform
DevFlow AI is an autonomous, multi-agent software engineering platform that designs, implements, reviews, and tests features from simple natural language prompts.
## Agent System Architecture
- ArchitectAgent — analyzes requests and compiles JSON specification layout.
- FrontendDevAgent / BackendDevAgent — writes production React components and FastAPI route handlers.
- CodeReviewerAgent — checks code for quality gates, security vulnerabilities, and logic flaws.
- QATesterAgent — generates complete pytest suites targeting generated endpoints.
- TechWriterAgent — compiles developer documentation and markdown READMEs.
- ReleaseManagerAgent — runs final validation gates and merges code to the feature branch.
Settings
Pipeline configuration & credentials
Guest Mode
Run the console in Guest Mode, or sign in to use personalized workspace records.
Notifications
Show toast alerts for pipeline milestones.
Profile Settings
Manage your developer identity and details
Display Name
Your nickname displayed in the simulation log output and sidebar.
Email Address
Your contact email for simulated git logs.
Developer Bio
Brief personal description for agent pipeline logs.