GitHub Actions is the default CI for repos on GitHub. When teams look beyond it, GitLab CI, CircleCI, Buildkite, Jenkins and Tekton are the usual picks. How they compare, and how infrastructure from code shrinks the deploy stage while you keep your CI.
GitHub Actions is the CI most GitHub repositories start with: workflow YAML next to the code, hosted or self-hosted runners, and a marketplace of actions for almost every install and deploy step. It is a good default, and it is not the only option.
Teams look past Actions when minute bills climb, when jobs must run on private networks, when the git host is not GitHub, or when monorepo pipelines outgrow a pile of workflow files. This guide ranks the mainstream alternatives as CI products, then shows how Encore (infrastructure from code) sits beside whichever CI you keep by shrinking the Terraform-shaped half of the deploy stage.
Encore is not in this ranking, since it is an open source infrastructure SDK whose platform provisions and deploys application infrastructure. It does not replace Actions, GitLab CI, CircleCI, Buildkite, Jenkins or Tekton as the system that runs your test jobs.
GitLab CI/CD defines pipelines in .gitlab-ci.yml with stages, jobs, rules and environments. Runners are GitLab-hosted or self-managed. The same product hosts the repository, issues, registry and security scans, and GitLab itself can be self-managed for compliance.
Choose GitLab CI when the code already lives on GitLab, or when consolidating SCM and CI matters more than staying on GitHub. For a full walkthrough of pipelines, runners and backend deploy jobs, see GitLab CI/CD in 2026.
Best fit: teams on GitLab, including those that self-manage it.
CircleCI is a dedicated hosted CI service configured with .circleci/config.yml. Orbs package reusable jobs and commands, test splitting spreads suites across parallel containers, and self-hosted runners reach private networks. It works with GitHub, GitLab and Bitbucket repositories.
Choose CircleCI when you want CI as its own product, with strong caching and parallelism, without operating a Jenkins controller.
Best fit: teams that want hosted CI separate from the git host UI.
Buildkite splits CI into a hosted control plane and the Buildkite agent, which runs builds on your machines or on Buildkite-hosted infrastructure. Pipelines are YAML and can be generated dynamically at build time, which suits large monorepos and compliance-heavy environments.
It is the closest hosted-control replacement for "Jenkins agents on our hardware" without running the controller yourself.
Best fit: teams with large, specialized or regulated builds that must stay on their own compute.
Jenkins remains the default fully self-hosted automation server: a controller, agents and a large plugin ecosystem that can build almost anything. The cost is operational: you keep the runners, plugins and upgrade cadence yourself. Someone upgrades Java and plugins, hardens the controller, and guards deploy credentials that live on that box.
Choose Jenkins when air-gapped networks, custom executors or existing plugin investments dominate. Skip it when the goal of leaving Actions is less maintenance. For a broader comparison, see Jenkins alternatives.
Best fit: organizations that already staff Jenkins and need maximum self-hosted flexibility.
Tekton is a Kubernetes-native CI toolkit: Pipelines and Tasks as custom resources, each step a container in the cluster. There is no single SaaS product to buy; you assemble Tekton with a dashboard, triggers and your own images.
Choose Tekton when a platform team is building internal CI on Kubernetes and wants pipelines as cluster APIs. Skip it when you want a finished CI product with hosted runners and a marketplace.
Best fit: platform engineering teams standardizing on Kubernetes for CI itself.
Stay on GitHub Actions when the repository is on GitHub, workflows are manageable, and minute cost is acceptable. Move to GitLab CI when the git host is GitLab. Pick CircleCI for a dedicated hosted CI service, Buildkite for agents on your own fleet, Jenkins for full self-hosting, and Tekton only if you are building the CI platform on Kubernetes.
None of these tools provisions your RDS instance, Pub/Sub topics or IAM roles. They run jobs, and the deploy stage usually needs separate Terraform root modules for load balancers, task definitions, databases, queues, secrets and roles. For how build, test and deploy stages fit together, see CI/CD pipeline in 2026.
Encore combines an open source infrastructure SDK for TypeScript and Go with a platform that provisions and deploys into your own AWS or GCP account. GitHub Actions, GitLab CI, CircleCI, Buildkite or Jenkins run encore check, unit tests and whatever else you gate on. Encore handles the deploy stage for the databases, queues, object storage, cron jobs and secrets your code declares.
On a git push the platform runs a build and test phase, then provisions infrastructure and deploys. Link the app to GitHub, set each environment's Branch Push to the branch you release from, and connect the cloud account once. Encore provisions an IAM role for the service, so deploy credentials for application infra do not need to live as long-lived keys in the CI server.

Keep Actions for pull request checks. A minimal workflow installs the CLI and runs the same checks developers run locally:
# .github/workflows/ci.yml
name: Backend CI
on:
push:
branches: [main]
pull_request:
jobs:
verify:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install Encore CLI
run: curl -L https://encore.dev/install.sh | bash
- name: Check the app
run: /home/runner/.encore/bin/encore check
- name: Run tests
run: /home/runner/.encore/bin/encore test
With Branch Push pointed at main, the same merge that passes CI starts the Encore rollout. Teams on GitLab or CircleCI keep an equivalent check job and trigger deploy the same way, or call the platform API from a deploy job as described in the GitLab CI/CD guide.
Run in your terminal to get started locally.
Infrastructure stays in application code. A queue for fulfillment work looks like this in TypeScript:
// orders/events.ts
import { Topic, Subscription } from "encore.dev/pubsub";
import { api } from "encore.dev/api";
export interface OrderPlaced {
orderId: string;
}
export const orderPlaced = new Topic<OrderPlaced>("order-placed", {
deliveryGuarantee: "at-least-once",
});
export const place = api(
{ expose: true, method: "POST", path: "/orders" },
async ({ orderId }: { orderId: string }): Promise<void> => {
await orderPlaced.publish({ orderId });
},
);
const _ = new Subscription(orderPlaced, "fulfill", {
handler: async (event) => {
// Fulfill event.orderId.
},
});
On AWS the subscription becomes SNS and SQS with a dead-letter queue; on GCP it becomes GCP Pub/Sub with a dead-letter topic. An AI coding agent adding a consumer writes the Subscription in the same pull request that Actions already tests, and the deploy provisions the queue.
Best fit: teams happy with GitHub Actions (or another CI above) for build and test, who want the deploy stage to provision application infrastructure from TypeScript or Go.
GitLab CI/CD if your code is on GitLab or you want SCM and CI in one product. CircleCI if you want a dedicated hosted CI service with strong caching. Buildkite if builds must run on your own machines behind a hosted control plane. Jenkins if you need fully self-hosted controllers and a large plugin ecosystem. Tekton if you are building Kubernetes-native pipelines as a platform team.
Common reasons are minute costs at scale, wanting runners on private networks, needing a CI product that is not tied to GitHub as the git host, or outgrowing workflow YAML for large monorepos. Actions is often fine for build and test, and the pain tends to sit in the deploy stage rather than in the CI product.
Jenkins is a strong alternative when you must run every job on infrastructure you control, need custom agents or air-gapped networks, and can staff controller and plugin maintenance. It is a weak alternative if your goal is less operational work; hosted CI or Buildkite agents usually get you there faster.
Keep the workflow for encore check and encore test on pull requests. Link the Encore app to GitHub, connect your AWS or GCP account, and set Branch Push on the environment. Encore builds, provisions databases, queues, object storage, cron and secrets from code, and deploys into that account. Encore is infrastructure from code, not a CI product that replaces Actions.
Deploy to your cloud on AWS and Google Cloud
without managing infrastructure
Encore lets developers and agents define application infrastructure directly in code, then automatically provisions it from local development to production in your AWS or GCP account.