Case Study · AI Developer Platform
Synty
An AI platform that turns plain-language requirements into fully built, deployed applications.
AI App Generation & Autonomous Deployment
Next.js
Python FastAPI
Kafka
arq
Redis
PostgreSQL
The Product
Synty is Digital Infuse's in-house AI platform that transforms plain-language requirements into fully built, deployed applications. An orchestrator agent coordinates a team of specialized agents, from planning to deployment, that build, preview, and ship production-grade projects in minutes.
Category
AI Developer Tools
Built by
Digital Infuse
The Agent Pipeline
From simple requirements to your next application deployed.
User
Describe what you want to build.
Architecture Agent
Plans architecture, schemas, and workflows.
Design Agent
Crafting UI design and visual style.
Planning Agent
Parsing requirements into user stories.
Developer Agent
Generating code for user stories.
QA Agent
Validating code quality and discovering bugs.
Deploy Agent
Shipping app to production.
The Challenge
Turn a sentence into a shipped application.
The Solution
A pipeline of autonomous agents, prompt to production.
In one line
From a single sentence to a deployed application, built by a pipeline of autonomous agents.
Technology Stack
A microservice architecture of Next.js and Python FastAPI services, connected by Kafka event streaming and arq distributed background jobs across every service, a multi-model agent pipeline across Claude, Gemini, and GPT, isolated VMs where each application is built and previewed, and automated deployment to the cloud.
Next.js
The front end is built on Next.js 16 and React 19 with the App Router, styled with Tailwind and Radix UI. It gives users one surface to describe an app, watch each agent work in real time, and review the result. React Query handles data fetching and caching, while a Server-Sent Events stream feeds live agent, build, and deployment logs straight into the interface.
Results & Impact
Outcomes built for speed.
- Microservice architecture of Next.js and Python FastAPI services, connected by Kafka and arq background jobs across every service
- Autonomous multi-agent pipeline taking a plain-language prompt to a deployed application
- Six specialized agents covering planning, architecture, design, development, QA, and deployment
- Multi-model orchestration routing each stage across Claude, Gemini, and GPT
- Real-time build and deployment logs streamed to the user over an SSE event bus
- Generated projects spanning Next.js, React, FastAPI, Node, Java, and Kotlin stacks
- Isolated VMs where each app is built and previewed before one-click deployment to the cloud
6
autonomous agents orchestrated end-to-end
8
frameworks generated across stacks
Minutes
from prompt to live deployment
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