Production code, not throwaway prototypes

AI code generator
that ships to production

Generate full-stack applications with type-safe code, real databases, and production architecture. The AI coding platform where generated code passes professional code review.

Project Management Platform

Auto-generated from your prompt

A comprehensive project management tool with team workspaces, real-time collaboration, issue tracking, and sprint management.

Features & User Stories (12)
Team WorkspacesAs a user, I can create and manage team workspaces
P0
Issue TrackingAs a team member, I can create, assign, and track issues
P0
Sprint BoardAs a PM, I can organize issues into sprints with drag-and-drop
P0
Real-time UpdatesAs a collaborator, I see changes reflected instantly
P1
Role-based AccessAs an admin, I can control member permissions
P1
Activity FeedAs a user, I can see a timeline of all project activity
P1
File AttachmentsAs a user, I can attach files and images to issues
P1
+ 5 more features...
API Endpoints (12)
POST/api/auth/signup
GET/api/workspaces
POST/api/issues
PATCH/api/issues/:id
Database Schema (5 tables)
table users {
id, email, name, role, workspace_id, created_at
}
table issues {
id, title, description, status, priority, assignee_id, sprint_id
}
table sprints {
id, name, start_date, end_date, workspace_id, status
}

Trusted by product teams shipping real products, not prototypes

AcquireX
AcquireX
incrediHire
incrediHire
Datavant
Psyflo
Psyflo
HerPower
MotoInsight
MotoInsight
Arrowster
Arrowster
AcquireX
AcquireX
incrediHire
incrediHire
Datavant
Psyflo
Psyflo
HerPower
MotoInsight
MotoInsight
Arrowster
Arrowster
AcquireX
AcquireX
incrediHire
incrediHire
Datavant
Psyflo
Psyflo
HerPower
MotoInsight
MotoInsight
Arrowster
Arrowster
AcquireX
AcquireX
incrediHire
incrediHire
Datavant
Psyflo
Psyflo
HerPower
MotoInsight
MotoInsight
Arrowster
Arrowster

Hi, I'm Joy.

Omniflow's AI that generates production-grade code your engineering team will approve.

Most AI code generators create demos that break in production. I generate complete applications with TypeScript type safety, real PostgreSQL databases, authentication, and clean architecture. When you need custom business logic, your engineers work with readable, maintainable code they can actually extend, not generated spaghetti they need to rewrite.

Why Most AI Code Generators Fail in Production

Quick demos are not the same as maintainable applications. Here is what separates toys from production tools.

Mock Data, Not Real Databases

Hardcoded arrays instead of PostgreSQL. No migrations, no relationships, no persistence. Breaks the moment you need real data.

Security Vulnerabilities Everywhere

No input validation, SQL injection risks, exposed secrets. Generated code that passes demos but fails security audits.

Unmaintainable Spaghetti Code

Everything in one file, no architecture, no type safety. Engineers throw it away and rewrite from scratch.

Generated Code That Passes Code Review

The only AI code generator that produces applications your senior engineers will approve for production deployment.

TypeScript Everywhere

Full type safety from frontend components to API routes to database queries. Catch errors at compile time, not in production. Your IDE becomes your QA team.

Clean Architecture

Separation of concerns with reusable components, custom hooks, proper state management. Code that scales with your team, not monolithic files.

Real Database Layer

PostgreSQL with Drizzle ORM for type-safe queries. Automatic migrations, proper foreign keys, constraints. Production-grade persistence from day one.

Security Built In

Authentication with NextAuth, input validation with Zod, CSRF protection, secure sessions. We follow OWASP security best practices automatically.

Git Ready Export

Push directly to GitHub or Bitbucket with proper .gitignore, environment templates, and CI/CD configs. Integrate with your workflow immediately.

Modern Tech Stack

React 19, Next.js 15, Tailwind CSS, Radix UI. The same stack elite engineering teams use to build production applications at scale.

Testimonials

Loved by product teams

Join the founders and engineering leaders shipping 10x faster. Read their stories →

30 minutes into the demo, I decided to switch from Loveable to Omniflow because there's zero friction from idea to prototype. It's the fastest I've ever developed a concept, or pieces of concepts, to something real.

RC
Randall Campell
Head of Product, AcquireX

Omniflow has been a game changer for me as a leader of a product team, delivering an extraordinary productivity boost for both me and my Product Managers.

KF
Ken Fuire
Chief Product Officer, incrediHire

Omniflow took me from idea to working app in hours - not weeks. I went from a few sentences to a PRD, a prototype in minutes, and a full app shortly after.

RH
Ryan Haber
Sr Product Manager, Datavant

We used Omniflow for our MVP and couldn't be happier. The platform saved us weeks of development time.

DO
Deanna Oliver
CEO, Psyflo

Omniflow has been a game-changer! I can create PRDs, refine them, and turn them into prototypes within minutes. With instant updates, I can sell ideas and products smarter.

DL
Dan Lazar
Product Manager, AutoTrader

Omniflow is a fantastic tool that saves me 30%-40% of my time creating use cases and managing development process. My whole team loves it.

AK
Arif Khan
CTO, Arrowster

Frequently Asked Questions

Everything you need to know about AI code generation

Is AI-generated code actually production-ready?

Yes, when using production-focused AI coding platforms. Omniflow generates TypeScript applications with clean architecture, type safety, real PostgreSQL databases, authentication, security patterns, and proper error handling. The code passes professional code reviews and is maintainable long-term. We generate real applications that scale, not quick demos that break under load.

How does this compare to GitHub Copilot or Cursor AI?

Different tools for different needs. Copilot and Cursor provide AI autocomplete as you write code line by line. Omniflow generates entire full-stack applications with frontend, backend, database, and infrastructure already connected. Use both together: Omniflow for generating the 80 percent scaffolding, Copilot for writing custom business logic. They complement each other perfectly.

Can engineers customize and extend generated code?

Absolutely. Generated code is clean, well-structured TypeScript that engineers can read, understand, and modify. Export to your Git repository with no vendor lock-in. The code follows standard patterns and best practices, making it straightforward for your team to add custom features, integrate third-party services, or refactor as needed.

What about testing and CI/CD for generated applications?

Generated applications include testing setup with Jest and React Testing Library, plus CI/CD configuration templates for GitHub Actions. The foundation is in place. Your team adds specific test cases based on custom business logic. We provide the testing infrastructure and examples, you provide assertions for your unique requirements.

Does the AI code generator work with our existing tech stack?

Omniflow currently generates applications using the modern web stack: React 19, Next.js 15, TypeScript, PostgreSQL, and Tailwind CSS. This represents the most mature and widely adopted full-stack TypeScript ecosystem. The generated code is standard TypeScript and React, making it compatible with most existing workflows and infrastructure. Generated applications deploy to Vercel, AWS, Google Cloud, or any Node.js hosting environment.

How do you handle security in AI-generated code?

Security is built into code generation templates, not added as an afterthought. Every generated application includes input validation with Zod schemas, authentication with NextAuth, CSRF protection, secure session management, and environment variable validation. We follow OWASP top 10 security practices automatically. This consistent application of security patterns often makes generated code more secure than hand-written alternatives where developers might skip validation or forget protections.

What happens when we need highly custom business logic?

The AI code generator creates the foundational application structure: authentication, database layer, CRUD operations, UI components, and API endpoints. Your engineering team adds the custom business logic that differentiates your product. Think of it as generating the 80 percent boilerplate so engineers focus on the 20 percent that actually creates competitive advantage. The clean architecture makes adding custom logic straightforward.

Can we use the best AI code generator for enterprise applications?

Yes. AI code generation scales from MVPs to complex enterprise systems. The continuous creation model works especially well for large applications because it maintains synchronization between requirements, design, and code as complexity grows. Enterprise teams benefit from consistent code quality, security patterns, and architecture across all generated applications. The technology amplifies engineering capacity without sacrificing the control and quality standards required for enterprise production systems.

How much faster is development with AI code generation?

Engineering teams report 5x to 10x faster delivery for new applications and features when using production-ready AI code generators. What traditionally takes months of development can often be delivered in weeks or days. The acceleration comes from eliminating boilerplate coding, providing instant working prototypes for validation, and maintaining clean architecture that makes iteration faster. Time savings compound as teams build multiple features using the same generated foundation.

Start creating
today.

Skip the infrastructure work. Focus on what makes your product different. Omniflow keeps everything aligned from PRD to production.

Free to start · Plans from $25/mo ·