What Programming Languages and Frameworks Are Supported?

Discover which programming languages, frameworks,and tech stacks are supported on the illuminis Developer Platform for building and deploying applications.

Supported Languages and Frameworks on illuminis

The illuminis Developer Platform is designed to support a broad range of programming languages, frameworks,and technology stacks. Because the platform runs on containerized AWS infrastructure, developers have significant flexibility in choosing the tools and technologies that best fit their applications. The platform is not locked to a single language or framework, giving you freedom to build with whatever you know best.

Supported Programming Languages

The platform supports all major programming languages used in modern web and application development:

• JavaScript and TypeScript: Full support for Node.js runtimes, including the latest LTS versions. TypeScript is a first-class citizen with full build pipeline support.
• Python: Supported for backend services, AI/ML applications, data processing,and API development using frameworks like Django, Flask,and FastAPI.
• Go: Ideal for high-performance microservices, CLI tools,and concurrent workloads.
• Ruby: Supported with Ruby on Rails and Sinatra for rapid application development.
• Java and Kotlin: Enterprise-grade support for Spring Boot, Quarkus,and JVM-based applications.
• Rust: Supported for performance-critical applications and WebAssembly workloads.
• PHP: Supported with Laravel, Symfony,and other PHP frameworks for web applications.

Frontend Frameworks

For frontend development, the platform supports all major JavaScript frameworks and static site generators:

• React and Next.js: Full support for server-side rendering, static generation,and API routes
• Vue.js and Nuxt: Complete Vue ecosystem support with Nuxt server-side capabilities
• Svelte and SvelteKit: Support for Svelte's compiled approach and SvelteKit's full-stack framework
• Angular: Enterprise Angular application support with server-side rendering
• Astro: Static and hybrid rendering for content-focused applications

Database and Storage Options

Applications deployed on illuminis can use platform-managed database services or connect to external data stores. Supported options include PostgreSQL, MySQL, MongoDB, Redis,and Amazon DynamoDB. The platform provides managed database provisioning so you do not need to configure or maintain database servers directly.

AI and Machine Learning Stacks

The platform is particularly well-suited for AI-powered applications. Developers can integrate with OpenAI, Anthropic Claude, Google Gemini,and other AI provider APIs. Python-based ML applications using TensorFlow, PyTorch, or scikit-learn can be deployed with GPU-enabled container options for inference workloads.

Containerization and Custom Runtimes

If your application requires a custom runtime or specific system dependencies, the platform supports Docker container deployments. You can provide a Dockerfile with your application, giving you full control over the runtime environment while still benefiting from illuminis-managed infrastructure, scaling,and monitoring. This means virtually any technology stack can run on the platform as long as it can be containerized.

Vibe-Coded and AI-Generated Applications

Applications built using AI-assisted development tools such as Cursor, Windsurf, Bolt, Lovable, GitHub Copilot, or Claude are fully supported. The platform evaluates applications based on functionality and quality, not on how they were built. This makes illuminis an ideal deployment target for the growing community of vibe coders and AI-augmented developers.