Which programming languages, frameworks, and stacks are supported?
Cosine supports all major programming languages and frameworks — from modern web stacks to legacy enterprise systems. Its model has been trained and post-tuned on diverse, real-world codebases to ensure high performance across multiple ecosystems.
Core languages
Section titled “Core languages”Cosine handles the full lifecycle of development tasks in the most common engineering languages, including:
- Python (data, backend, automation)
- JavaScript / TypeScript (frontend, Node.js, full-stack)
- Java (enterprise, Android)
- C# / .NET (enterprise applications)
- Go (cloud infrastructure, backend services)
- C / C++ (systems, embedded, performance-critical code)
- Ruby, PHP, Swift, and Kotlin (general and mobile development)
Frontend frameworks
Section titled “Frontend frameworks”Cosine understands modern UI frameworks and can create, refactor, or test components:
- React, Next.js, Vue, Angular, Svelte
- CSS-in-JS libraries (Styled Components, Tailwind)
- Storybook and testing frameworks (Jest, Cypress)
Backend & cloud stacks
Section titled “Backend & cloud stacks”- Node.js, Django, Flask, FastAPI, Spring Boot, Express
- Infrastructure-as-Code: Terraform, Pulumi, AWS CloudFormation
- Containerization and orchestration: Docker, Kubernetes
- Cloud providers: AWS, Azure, GCP
DevOps and CI/CD
Section titled “DevOps and CI/CD”Cosine integrates with and writes configurations for common DevOps tools:
- Jenkins, GitHub Actions, CircleCI, Azure DevOps
- Makefiles, Bash, PowerShell, YAML-based workflows
Specialized and legacy systems
Section titled “Specialized and legacy systems”For enterprise customers, Cosine can be fine-tuned to handle specialized or niche languages and systems:
- Fortran, COBOL, VHDL, Verilog (used in finance, manufacturing, and chip design)
- Custom internal frameworks and DSLs
This adaptability makes Cosine effective for highly regulated or infrastructure-heavy organizations.
Continuous expansion
Section titled “Continuous expansion”New frameworks and languages are added regularly based on customer demand. Enterprise deployments can include custom post-training on proprietary codebases or frameworks unique to your environment.