Run CI/CD for millions of repos — on your platform, on Cloudflare (opens in new tab)
Cloudflare is bringing code storage, CI, and deployment together on its platform. Its CI SDK turns Cloudflare Workflows into TypeScript-defined pipelines that can build, test, and deploy repositories stored in Artifacts. The approach supports both platform-managed CI for customer applications and custom workflows, while adding isolated execution, caching, parallelism, and optional AI-powered self-healing.
Cloudflare-Hosted CI/CD
- Artifacts provides versioned code storage capable of supporting millions of repositories.
- Artifact push events can directly trigger Workflow executions through a new
eventsconfiguration field. - A CI job can:
- Build code in an isolated environment
- Run linters, typechecks, and unit tests
- Cache dependencies between steps
- Automatically fix failed steps with an AI review agent
- Deploy only after successful validation
CI/CD as a Cloudflare Workflow
- A traditional CI/CD pipeline is essentially an ordered sequence of Workflow steps.
- Instead of complex YAML configuration, developers can define pipelines in TypeScript using
step.do(). - The CI SDK combines Workflows with the Sandbox SDK to run commands safely and independently.
- Workflow retries and timeouts manage state and failures without requiring developers to call the Sandbox API directly.
- Push-triggered jobs no longer require separately configuring event subscriptions, queues, and consumers.
Dependency Caching and Parallel Execution
- An initial install step can download dependencies and tools such as bundlers, linters, and test runners.
- Cache inputs can include files such as
package.jsonandbun.lock. - The resulting sandbox snapshot is stored in an R2 bucket and reused by later steps.
- Build, lint, test, and typecheck steps can run concurrently with
Promise.all(). - A deploy step runs only after all required checks complete successfully.
Platform-Managed and Custom CI
- Platforms can define one reusable CI/CD pipeline for applications created by their customers.
- Platform-owned code and customer code can use different pipelines while remaining in the same namespace.
- Customers who need specialized behavior can define their own Workflow and run custom CI on their repository.
- Both managed and custom CI pipelines can operate simultaneously.
Extensible and Self-Healing Pipelines
- Developers can import
CIWorkflowfrom@cloudflare/ciand define their own workflow. - Each build or validation step runs in a separate isolated sandbox.
- Workflows can invoke an AI agent when a build fails.
- The agent can diagnose issues, apply a fix, and push a commit for approval.
- Cloudflare provides a self-healing CI example through Project Think.
Cloudflare’s recommended model is to treat CI/CD as ordinary TypeScript Workflow code: install dependencies once, run checks in parallel, and deploy only after success. This gives platforms a reusable default pipeline while preserving the flexibility for individual teams or customers to customize their own builds.