Best AI Code Generator & Editor for Developers
Transform Your Development Process with AI Coding, Debugging, Editing and More.
Transform your development workflow with Ninja's advanced AI coding platform powered by Fast Deep Coder, our cutting-edge coding-focused AI model. Generate, edit, and debug code in Python, JavaScript, Java, C++, and more. Integrated GitHub support and SuperNinja autonomous coding agent accelerate every stage of your project.
Key Features of AI Coder
Advanced AI Code Generation
Ninja's AI code generator is powered by Fast Deep Coder, our proprietary coding-focused AI model that bridges the gap between simple vibe coding and full-scale development environments. It produces production-ready code from natural language prompts, supporting popular programming languages including Python, JavaScript, Java, C++, C#, Ruby, Swift, PHP, Go, and Rust while adapting to your project context for professional software development.


SuperNinja Autonomous Agent
SuperNinja functions as an AI software developer, executing coding workflows in its own secure virtual computer with access to VS Code environment. It understands project requirements, writes code, conducts tests, reviews pull requests, and documents changes with minimal human intervention, making it suitable for both rapid prototyping and enterprise development. SuperNinja AI is your go-to for all your vibe coding needs!
AI Coder with Full GitHub Integration
Seamlessly connect Ninja to your GitHub repositories through our comprehensive coding platform. Automatically create commits, open and merge pull requests, resolve issues, and enforce repository permissions. SuperNinja operates within your existing workflow with access to a virtual computer environment, enabling real-time collaboration and continuous integration without manual setup.


Integrated AI Code Editor
Access a unified development environment that combines Ninja's AI assistant with a fully featured code editor and virtual VS Code access. Start coding immediately, no local setup required.
Ninja AI's Deep Research & Documentation
Ninja’s Deep Research works like a skilled developer doing background checks while coding. Whenever it needs extra context, it searches the internet for GitHub examples, bug fixes, and coding solutions like pulling in API references, proven patterns, and helpful resources in real time. As it works on your tasks, it learns and adapts just like an engineer who looks up the best way to solve a problem. It can then use AI Writer to turn that knowledge into clear documentation, README files, and code explanations to speed up onboarding and keep your project moving.

Vibe Coding: Creative Code Generation
Use Vibe Coding to translate high-level design concepts and natural language descriptions into stylistic code templates and UI components. Now enhanced by Fast Deep Coder, it goes beyond basic styling to generate more sophisticated frontend architectures.
Advanced Theme Variations
Produce multiple style options with different color palettes, typography, and layouts
Component Library Support
SuperNinja AI Agent downloads the relevant libraries where needed onto the virtual machine, needing no helping hand to get your tasks done.
Professional Prototyping
Include responsive breakpoints and animations for instant browser previews with enterprise-grade output
Plan and build with a little help from our AI coder
AI Coding Use Cases
Rapid Prototype Generation
Generate functional prototypes in minutes, validate ideas quickly, and iterate without manual coding.
Code Refactoring and Optimization
Modernize legacy code, reduce technical debt, and optimize performance with AI-suggested improvement powered by Fast Deep AI Coder.
Automated Testing and Quality Assurance
Create unit tests, integration tests, and end-to-end tests automatically. SuperNinja reviews test results and suggests fixes.
Continuous Integration and Deployment
Leverage GitHub integration for automated builds, pull request workflows, and deployment pipelines.
Learning and Tutorials
Interactive AI coding tutorials guide you through coding best practices, framework usage, and language fundamentals.
Benefits of Ninja AI Coder
Automate repetitive tasks and reduce time to market with AI-driven code generation and debugging powered by Fast Deep AI Coder.
Autonomous AI models ensure maintainable, error-free code by enforcing best practices and security checks.
Chat Agent AI Plans start at $5/month, offering access to 25+ premium AI models via our AWS partnership. SuperNinja AI plans start at $25 and give access to AI with its own virtual computer.
From code generation to deployment, Ninja AI provides all tools in one platform including SuperNinja, Deep Research, and GitHub integration.
Your code and data remain protected in secure environments with the latest security standards.
Try for free today. Plans Starting at $5/month.

Frequently Asked Questions
Here's what you need to know about Ninja's AI Code Generator based on what we get asked the most
What programming languages are supported?
Ninja AI supports Python, JavaScript, Java, C++, C#, Ruby, Swift, PHP, Go, Rust, and more.
How does GitHub integration work?
Connect your GitHub account to automatically manage commits, pull requests, and issues. SuperNinja can independently open, review, and merge PRs within your workflow.
What is SuperNinja?
SuperNinja is an autonomous AI agent that executes complete coding workflows in a secure virtual computer, from writing and testing code to code reviews and documentation.
Can I debug existing code?
Yes. Upload your code with error logs, and Ninja AI will analyze, identify issues, and suggest fixes.
Is there a free option?
Yes. Signup and get 5 free requests per day. Paid plans start at $5/month for unlimited use.
Can the Code Generator debug my code?
Yes, the Code Generator can analyze your existing code for errors and suggest fixes. Simply upload your code, along with any error messages, and ask Ninja to debug the code.
How does code optimization work?
The Coder Generator reviews your existing code and offers recommendations to enhance performance, such as improving efficiency, reducing redundancies, and refining algorithms.