Which programming languages, frameworks, and stacks are supported?
Cosine supports all major programming languages and frameworks — including Python, Java, TypeScript, Go, C#, React, Django, and Spring — with optional fine-tuning for legacy or custom stacks.
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
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
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
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
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
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
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.
Related pages
Last updated
Was this helpful?