Codegen AI

Codegen is a sophisticated operating system for AI code agents, empowering engineering teams to deploy, manage, and scale autonomous agents that plan, build, and review code with full context and production-ready results. It tackles the challenge of rapidly shipping high-quality software by providing a robust, integrated environment for AI coworkers to understand and solve complex coding challenges, interact with development tools, and automate a wide range of tasks. Codegen is designed for engineering teams, from growing startups to large enterprises, aiming to accelerate their development cycles and free engineers to focus on higher-level innovation.

Key Features

• ✨ Natural Language Guided Development: Direct your code agents using everyday language through a streamlined workflow: Assign tasks, allow agents to Analyze context and dependencies, Implement features with code, tests, and documentation, then Deliver a ready-to-review Pull Request. This simplifies complex coding tasks, letting agents handle the heavy lifting.

• 🛡️ Secure Sandbox Environments: Safely execute code, install dependencies, and test changes in robust, isolated environments. Codegen allows you to fine-tune every aspect of your autonomous agents with powerful configuration options, ensuring secure operations without impacting your core development environment.

• 🧠 Intelligently Routed AI Models: Leverage state-of-the-art AI models like Claude for complex reasoning and implementation, and Gemini for large-scale refactoring. Codegen intelligently routes tasks to the optimal model, and you can seamlessly integrate your custom or fine-tuned models, ensuring you always have access to the best AI for the job.

• 🔗 Deep Integration Panel & MCP Support: Manage essential development tools like GitHub, ticketing systems (Jira, Linear, ClickUp, Monday.com), and custom MCP Servers from a single, unified dashboard. With Model Context Protocol (MCP) support, you can connect virtually any tool and build custom integrations in minutes, not months, creating a truly interconnected workflow.

• ⚙️ Granular Repository Rules & Permissions: Define and automatically enforce coding conventions and guidelines directly within your repositories. Codegen agents read and apply these rules, ensuring consistency. Additionally, you retain precise control over agent actions with fine-grained permission toggles, dictating exactly what your agents can do across your organization.

Use Cases

• Automate Feature Implementation & Bug Fixes: Assign a new feature request or bug report from your ticketing system to a Codegen agent. The agent will analyze the codebase, implement the necessary changes, write corresponding tests, update documentation, and submit a ready-to-review Pull Request, significantly accelerating your development pipeline.

• Streamline Code Reviews & Documentation: Deploy agents to review Pull Requests, suggest changes, and comment on issues, ensuring adherence to repository rules and best practices. Agents can also proactively improve documentation, keeping your codebase well-documented and accessible for all team members.

• Empower Non-Technical Stakeholders: Enable product managers or non-technical team members to guide agents using natural language to build or refine features. This frees up engineers for more complex problem-solving, increasing overall team velocity and fostering cross-functional collaboration.

Unique Advantages

Codegen isn't just another AI tool; it’s designed as a foundational operating system for your AI engineering workforce, offering distinct advantages that set it apart:

• The OS for Code Agents: Unlike point solutions, Codegen provides a comprehensive platform with all the necessary building blocks—sandboxes, integrations, telemetry, and enterprise-grade support—to deploy and manage frontier code agents at scale, ensuring production-ready results.

• Embedded Expertise, Not Just Support: When you adopt Codegen, you gain a forward-deployed team of engineers and researchers who work directly alongside yours. From white-glove onboarding and configuration of repo rules to ongoing partnership, co-authoring PRs, and SLA-backed support, you receive hands-on guidance that goes far beyond traditional customer service.

• Enterprise Infrastructure, Zero DevOps: Codegen handles the complex infrastructure for running AI agents, including auto-scaling, managed updates, and 99.9% uptime. This means your team avoids DevOps overhead and can focus entirely on shipping features, not managing AI agent infrastructure.

• Proven Impact and Security: Trusted by over 1000 teams, Codegen agents have created 230,000+ Pull Requests with a 52% merge rate, saving customers an estimated $18.1M in developer time. Furthermore, Codegen is SOC 2 Type I & II certified and undergoes regular penetration tests, ensuring your code and data are handled with the highest standards for security, privacy, and compliance.

Conclusion

Codegen transforms how engineering teams build software by providing a powerful, secure, and scalable operating system for AI code agents. By automating routine and complex coding tasks, it allows your developers to focus on higher-value challenges, accelerating delivery and fostering innovation. Discover how Codegen can empower your team and streamline your development workflow.