Codegen provides an operating system for deploying autonomous code agents capable of planning, building, and reviewing software. These agents integrate deeply with development tools like GitHub and Jira to automate workflows from task assignment to pull request delivery. The platform offers fine-grained configuration, secure sandboxing, and enterprise support to enable engineering teams to ship code faster and at scale.
Funding
$16.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Software development teams face challenges in maintaining code quality and rapidly implementing platform-wide changes. Manual code refactoring is time-consuming, error-prone, and struggles to enforce consistent codebase conventions across large projects.
Solution
Codegen offers an AI-powered code transformation platform that enables developers to automate large-scale code refactoring and enforce codebase standards. By leveraging advanced static analysis, Codegen identifies code patterns, suggests modifications, and automatically generates code changes across an entire platform. The platform integrates with existing development workflows, allowing engineers to visualize code structure, generate documentation, and monitor critical code paths. Codegen streamlines code modernization, reduces manual effort, and ensures consistent code quality across enterprise-level projects.
Target Audience
Codegen targets enterprise software development teams and platform engineers who need to refactor codebases, enforce coding standards, and improve code quality at scale.
Features
- AI-assisted code refactoring using advanced static analysis
- Automated code generation for platform-wide changes
- Interactive code visualizations to understand code structure and dependencies
- Customizable code metrics and reporting
- Integrations with GitHub, Slack, and Linear for seamless workflow integration
- Support for common platform-level modifications, such as arranging codebase modularity and eliminating feature flags
- Ability to generate documentation at scale by combining codebase context with LLMs
- SOC 2 Type II certified security, including end-to-end encryption and strict data handling policies