A CI/CD platform where you define pipelines in code, not YAML. It runs anywhere, from Kubernetes to local kind clusters, and ensures workflows behave identically whether executed locally or in production. Developer laptops can register as runners, cutting costs and improving turnaround time by taking advantage of cached Docker layers and local resources. Heavy or sensitive steps can still delegate to the Kubernetes cluster, ensuring security and consistency for production artifacts. The result: faster iterations, lower infra spend, and more efficient pipelines than GitHub Actions, even for complex workflows with many conditional branches.
Define pipelines in real programming languages with proper logic, variables, and functions. No more wrestling with YAML syntax.
From local kind clusters to production Kubernetes. Developer laptops to cloud runners. Identical behavior everywhere.
Cached Docker layers, local resources, and smart orchestration cut turnaround time. Highly configurable for any workflow complexity.
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