Cosine — Autonomous AI Software Engineer (Self Serve)
di Cosine AI
Agentic AI that accelerates secure, compliant software development in complex enterprises.
Cosine is an autonomous AI software engineering platform that helps organizations accelerate software delivery by delegating development tasks to AI agents. Cosine agents can plan, write, test, and propose pull requests across enterprise repositories, enabling teams to resolve bugs, build features, refactor code, and generate documentation automatically.
Built for Azure environments and security-sensitive enterprises, Cosine integrates with existing developer workflows, including GitHub, Azure DevOps, Jira, Slack, and CI/CD pipelines so teams can scale engineering productivity without disrupting their existing tooling.
Cosine can be deployed within Azure, private VPC environments, or fully air-gapped infrastructure, ensuring sensitive source code and proprietary data remain inside your organization.
Key capabilities
Autonomous AI engineering agents
Delegate software development tasks such as bug fixes, feature implementation, refactoring, and test creation to AI agents that generate production-ready pull requests.
Azure and DevOps integration
Works with GitHub, Azure DevOps, Jira, and CI/CD pipelines to automate engineering workflows directly inside your development platform.
Enterprise-grade security and deployment
Deploy Cosine within Azure Kubernetes environments, private cloud infrastructure, or fully air-gapped networks to meet strict security and compliance requirements.
Accelerate Legacy Modernization
Optimized for large enterprise repositories and legacy codebases, with strong support for languages such as COBOL, Fortran, Ada, Verilog, .NET, and modern development stacks.
Enterprise Governance and Auditability
Role-based access controls, audit logs, and enterprise identity integration provide transparent and secure AI-assisted development.
Increase engineering velocity on Azure
Cosine enables organizations to reduce engineering backlogs, accelerate feature delivery, modernize legacy systems, and improve developer productivity by introducing autonomous AI engineers that work alongside existing teams.
