Codegen
What is Codegen?
Codegen is an AI coding platform for engineering teams that turns tickets into production-ready pull requests. It runs AI-powered agents across the development workflow with ticket-to-pull-request automation, multi-repo context, AI test generation, and full dev environment support in the browser. Codegen integrates with Linear, GitHub, Slack, ClickUp, Supabase, VS Code, and Cursor, and has been used by Warmly, Lambda Curry, and ClickUp.
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At a glance
- Codegen is best for engineering teams who want tickets to become reviewed pull requests with less manual coordination.
What does Codegen do?
Codegen turns tickets into production-ready pull requests by running AI-powered agents across the development workflow. In the Linear integration, you can tag @codegen on an issue and watch it plan the work, update status, open follow-up tickets, and ship code with linked PRs and documentation. The product also surfaces workflow helpers like multi-repo context, AI test generation, and first-class MCP support so agents can work with the surrounding codebase instead of isolated snippets. At scale, Codegen is built for teams that want governed automation rather than one-off suggestions. Its site shows full governance, audit trails, and business context, plus on-premises and air-gapped deployment for organizations that need tighter control. The platform supports broad IDE coverage and has been used by teams like Warmly, Lambda Curry, and ClickUp. Codegen also shows integrations with tools such as GitHub, Slack, Linear, and Cursor, so the agent can fit into existing engineering workflows instead of replacing them.
Why use Codegen?
- It connects issue tracking to code delivery, so teams can reduce the handoff gap between planning and shipping.
- Governance, audit trails, and business context make agent runs easier to review in enterprise workflows.
- On-premises and air-gapped deployment support stricter data-control requirements without forcing a cloud-only setup.
- Multi-repo context helps agents work across larger codebases instead of treating each repository in isolation.
- Broad IDE support and MCP integration let teams keep their existing developer environment.
Who is Codegen for?
- Engineering teams that want AI agents to move work from issue to merged PRs.
- Platform and DevEx teams that need governed automation across existing workflows.
- Product teams that want status updates and follow-up tasks attached to the ticket.
- Security-conscious organizations that need on-premises or air-gapped deployment options.
- Developers who want multi-repo context and test generation inside their workflow.
What are Codegen's key features?
AI-powered agents
Run AI coding agents that handle engineering tasks across the workflow, including parallel agents and Background Agents, so teams can ship faster with less manual coordination.
ticket to pull request
Turn a ticket into a pull request with full task context, then review changes in GitHub before merge to keep work traceable and ready for engineering teams.
Multi-repo context
Work across multiple repositories with automatic context awareness and a 200K token context window, which helps agents make changes without losing project history.
AI test generation
Generate tests from code changes and run them in sandboxed execution, reducing review time and catching regressions before deployment.
On-premises and air-gapped deployment
Deploy on-premises or in air-gapped environments with full governance and audit trails, which supports stricter security and compliance requirements.
Full dev environment in browser
Use WebContainers, Canvas, and Artifacts to code, preview, and iterate in the browser, giving teams a full development environment without local setup.
Integrations, API, and MCP
Connect Codegen with Linear, Slack, GitHub, ClickUp, Supabase, VS Code, and Cursor through integrations, API, and MCP for workflow automation.
Cost and performance analytics
Track cost and performance analytics with complete cost transparency and bring your own API key support, so teams can control spend across models like Claude.
What does Codegen integrate with?
- Linear
- Slack
- GitHub
- ClickUp
- Supabase
- VS Code
- GitHub Copilot
- Google Calendar
- Claude
- Cline
- Cursor
What are Codegen's use cases?
Engineering teams ship from tickets
Engineering teams that want AI agents to move work from issue to merged PRs use Codegen to turn a ticket into implementation work, using ticket to pull request to keep delivery moving. They can pair it with AI-powered agents and Multi-repo context to handle cross-repo changes without losing the original request.
DevEx teams automate safely
Platform and DevEx teams that need governed automation across existing workflows use Codegen to standardize how agent work runs inside their stack, using full governance and audit trails to keep changes reviewable. Integrations, API, and MCP help them plug into tools like GitHub and Linear without rebuilding process.
Developers generate tests in flow
Developers who want multi-repo context and test generation inside their workflow use Codegen to work across codebases and produce coverage faster, using Multi-repo context and AI test generation to catch regressions earlier. Full dev environment in browser keeps the work close to the code instead of bouncing between tools.
Security teams deploy privately
Security-conscious organizations that need on-premises or air-gapped deployment options use Codegen to keep AI coding workflows inside controlled environments, using On-premises and air-gapped deployment to meet internal requirements. They can still run AI-powered agents while preserving tighter operational boundaries.
How does Codegen work?
- Connect your first code source or issue tracker through Integrations, API, and MCP, then point Codegen at the repo or ticket where work should begin.
- Launch AI-powered agents on a ticket so they can inspect the request, gather Multi-repo context, and draft the implementation plan before touching code.
- Review the agent's changes in the full development workflow, using Full dev environment in browser and Real-time preview to validate behavior before merge.
- Generate checks with AI test generation, then use ticket to pull request to package code, tests, and context into a reviewable PR.
- Track throughput and spend with Cost and performance analytics, and keep sensitive deployments aligned with On-premises and air-gapped deployment when required.
Frequently asked questions
What is Codegen?
Codegen is an AI coding platform for engineering teams that turns tickets into production-ready pull requests. It runs AI-powered agents across the development workflow with ticket-to-pull-request automation, multi-repo context, AI test generation, and full dev environment support in the browser. Codegen integrates with Linear, GitHub, Slack, and Cursor, and has been used by Warmly, Lambda Curry, and ClickUp.
What is Codegen used for? Who is it for?
Codegen is used for AI-powered agents, ticket to pull request, and Multi-repo context. It's built for Engineering teams that want AI agents to move work from issue to merged PRs, Platform and DevEx teams that need governed automation across existing workflows, and Product teams that want status updates and follow-up tasks attached to the ticket.
Does Codegen have an API and what does it integrate with?
Codegen doesn't publish a public API. It integrates with Linear, WhatsApp, Slack, GitHub, ClickUp, and 7 more.
Editor's read
Check whether your workflow depends on on-premises or air-gapped deployment, since Codegen shows both for tighter control. Also verify that your core tools are covered by its integrations and MCP support, especially Linear, GitHub, Slack, and Cursor.
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