---
title: "GitHub Actions vs GitLab CI/CD: Migration Guide"
description: "Compare GitLab CI/CD and GitHub Actions pipelines, YAML, runners, caching, pricing models and migration steps. See where StarSling fits."
url: https://starsling.dev/compare/gitlab
canonicalUrl: https://starsling.dev/compare/gitlab
---

# GitHub Actions vs GitLab CI/CD: comparison and migration

- [How StarSling works](https://starsling.dev/)

[Comparisons](https://starsling.dev/compare) / GitHub Actions vs GitLab CI/CD: comparison and migration

Last updated: 2026-10-24

StarSling is AI-native CI for GitHub Actions: drop-in Ubuntu runners plus agents that open optimization PRs for your workflows.

For teams moving from GitLab CI/CD to GitHub Actions, StarSling accelerates CI with [Adaptive Compute](/blog/adaptive-compute): Sandbox Router sends every job to the fastest available sandbox, and Afterburner adds up to 25% more CPU and up to 50% more RAM to a running step at no extra cost. Its agents deliver [reviewable optimization PRs](/products/runners#ai-prs) that improve your workflows, and its [skills optimize CI speed, configuration, and security](/skills). [Review Runners](/products/review-runners) run code review agents you configure, while [GPU Runners](/products/gpu-runners) power GPU tests and model evaluations.

**Faster**

StarSling Runners run your GitHub Actions jobs up to 2.32x faster than GitHub-hosted runners.

- [Adaptive Compute: up to 2.32x faster than GitHub-hosted runners](https://starsling.dev/blog/adaptive-compute)
- [StarSling tops the GitHub Actions runner benchmarks](https://starsling.dev/blog/gha-benchmarks)

## Table of contents

- [Head to head](#head-to-head)
- [Faster](#faster)
- [Agent-native CI](#agent-native-ci)
- [Why choose StarSling over GitLab CI/CD?](#why-choose-starsling-over-gitlab-ci-cd)
- [GitLab CI/CD vs GitHub Actions workflows](#gitlab-ci-cd-vs-github-actions-workflows)
- [Migrate GitLab CI/CD pipelines to GitHub Actions](#migrate-gitlab-ci-cd-pipelines-to-github-actions)
- [Best fit](#best-fit)
- [Sources](#sources)
- [References](#references)

<a id="head-to-head"></a>

## Head to head

**Where StarSling leads**

| Feature | StarSling | GitLab CI/CD |
|---|---|---|
| Adaptive Compute | Yes. [Sandbox Router](/blog/adaptive-compute#sandbox-router) sends every job to the fastest available sandbox, and [Afterburner](/blog/adaptive-compute#afterburner) adds up to 25% more CPU and up to 50% more RAM to a running step at no extra cost. | GitLab-hosted Linux jobs select machine sizes with runner tags; self-managed Kubernetes runners support per-job CPU and memory requests and limits. |

**Where both deliver**

| Feature | StarSling | GitLab CI/CD |
|---|---|---|
| Agent-first CLI for your CI | Yes. `sling why` diagnoses why a job failed, with evidence and next steps, and `sling time` decomposes CI wall-clock into runner-lifecycle phases, and the skill teaches your agent to use it. [Install the sling CLI](/cli). | Yes. GitLab provides the glab CLI to work with pipelines and jobs. |
| Agent skills that optimize your CI | Yes. [ci-speedup](/skills/ci-speedup) for wall clock, [ci-score](/skills/ci-score) for configuration and [ci-secure](/skills/ci-secure) for security: each reads your workflows and hands your coding agent the evidence to fix them. Use these CI optimization skills with your existing runner provider; StarSling runners are not required. | Yes. GitLab Duo supports Agent Skills in SKILL.md files, and its CI Expert Agent helps optimize pipeline configuration. |

**Where GitLab CI/CD offers more**

| Feature | StarSling | GitLab CI/CD |
|---|---|---|
| GitLab pipeline execution | Runs GitHub Actions jobs on managed Ubuntu runners after you migrate the pipeline. | Runs .gitlab-ci.yml pipelines with GitLab Runner and GitLab's integrated project permissions. |

**How they differ**

| Feature | StarSling | GitLab CI/CD |
|---|---|---|
| Speed vs GitHub-hosted runners | Yes. Up to 2.32x faster than GitHub-hosted runners with Adaptive Compute. [Adaptive Compute: up to 2.32x faster than GitHub-hosted runners](/blog/adaptive-compute). [StarSling tops the GitHub Actions runner benchmarks](/blog/gha-benchmarks). | GitLab CI/CD runs pipelines through GitLab Runner using its own YAML configuration. |
| Agent-generated PRs that optimize your CI | Yes. AI agents analyze logs/telemetry and open optimization PRs. [See example PRs](/products/runners#ai-prs). [CI harness with an agent loop](/blog/agent-loop). | GitLab Duo diagnoses failed pipelines and proposes fixes as code suggestions or merge requests. |
| Unlimited concurrency | Yes. Concurrency is unlimited. | Runner capacity and limits depend on the GitLab plan and registered runner infrastructure. |
| Runner selection | Select managed Ubuntu runners with a StarSling runs-on label in your GitHub Actions workflow. | Select registered GitLab runners using tags and executor configuration. |
| Caching and artifacts | Runs your GitHub Actions cache and artifact steps as part of the workflow. | Configure cache and artifacts keys in GitLab pipeline YAML. |
| Pricing model | Usage-based per-minute, from $0.004/min (2 vCPU) to $0.128/min (64 vCPU); queue time never billed; no seat fees. | GitLab CI/CD compute usage and runner infrastructure costs depend on plan and execution model. |

<a id="faster"></a>

## Faster

### Adaptive Compute

[Sandbox Router](https://starsling.dev/blog/adaptive-compute#sandbox-router) sends every job to the fastest available sandbox, and [Afterburner](https://starsling.dev/blog/adaptive-compute#afterburner) adds up to 25% more CPU and up to 50% more RAM to a running step at no extra cost. Up to 2.32x faster than GitHub-hosted runners.

- [Read the launch post](https://starsling.dev/blog/adaptive-compute)

[StarSling tops the GitHub Actions runner benchmarks](https://starsling.dev/blog/gha-benchmarks)

**Savings**

- **Day one.** From moving the same unchanged suite onto our runners.
- **Over time.** After the optimization agents have worked on the suite.

[Pricing](https://starsling.dev/pricing#savings)

<a id="agent-native-ci"></a>

## Agent-native CI

Agent-native means three things: skills your coding agent runs, a CLI it reads CI through, and agents that open the PRs.

### [Agent-generated PRs that optimize your CI](https://starsling.dev/products/runners#ai-prs)

Pull Requests merged by customers. StarSling agents analyze and optimize your CI automatically.

- [CI harness with an agent loop](https://starsling.dev/blog/agent-loop)

### [Agent-first CLI for your CI](https://starsling.dev/cli)

sling is the agent-first CLI for StarSling Runners: why a job failed, where the time went and what CI costs, and the skill teaches your agent to use it.

- [Install the sling CLI](https://starsling.dev/cli)

### [Agent skills that optimize your CI](https://starsling.dev/skills)

Open source, one install, and they run on your machine: each skill reads your workflows and hands your coding agent the evidence to fix them.

- [Install the /ci-speedup skill to fix slow GitHub Actions](https://starsling.dev/skills/ci-speedup)

<a id="why-choose-starsling-over-gitlab-ci-cd"></a>

## Why choose StarSling over GitLab CI/CD?

For teams moving GitLab pipelines to GitHub Actions, StarSling combines managed runners with agents that improve the resulting workflows. Convert the pipeline configuration first, then select StarSling for Ubuntu jobs.

- Give each job faster compute: [Adaptive Compute](/blog/adaptive-compute) combines Sandbox Router's placement on the fastest available sandbox with Afterburner's extra CPU and RAM during a running step, at no extra cost.
- Improve the work your pipeline performs: StarSling agents deliver [reviewable optimization PRs](/products/runners#ai-prs) for workflow improvements. Inspect the changes in real repositories and merge the ones that fit your team.
- Turn CI findings into fixes: [ci-speedup](/skills/ci-speedup), [ci-score](/skills/ci-score), and [ci-secure](/skills/ci-secure) give your coding agent workflow-specific findings and fixes for speed, configuration, and security, applying [CI optimization best practices](/best-practices/github-actions).
- Own your code review: [Review Runners](/products/review-runners) run your chosen model, repo-native skills, scripts, and team-defined reviewers. Version review logic alongside your code.
- Give GPU tests their own hardware: [GPU Runners](/products/gpu-runners) provide dedicated NVIDIA GPUs for GPU tests, CUDA builds, and model evaluations, keeping CI off your production GPUs.
- Diagnose failures and wasted time: the [sling CLI](/cli) explains failed jobs with evidence and next steps and breaks wall-clock time into runner-lifecycle phases.

<a id="gitlab-ci-cd-vs-github-actions-workflows"></a>

## GitLab CI/CD vs GitHub Actions workflows

GitLab CI/CD defines jobs, stages, rules, artifacts and caching in .gitlab-ci.yml. GitHub Actions defines event-triggered workflows in .github/workflows, with jobs joined using needs. Moving between them requires translating the pipeline configuration.

Both support custom runner infrastructure. For teams already on GitHub, StarSling runs the converted jobs on managed Ubuntu runners within GitHub Actions.

<a id="migrate-gitlab-ci-cd-pipelines-to-github-actions"></a>

## Migrate GitLab CI/CD pipelines to GitHub Actions

Start with one representative pipeline. Inventory variables, protected secrets, runner tags, environment approvals, cache keys, artifacts and branch rules. Map each GitLab job to a GitHub Actions job and replace GitLab-specific shell and YAML behavior.

Run the converted workflow beside the original until outputs and required checks match. Only then try an appropriate StarSling runs-on label for Linux jobs. See [GitLab's YAML reference](https://docs.gitlab.com/ci/yaml/) when translating stage and rule semantics.

- Inventory .gitlab-ci.yml, included templates, stages, rules, artifacts, caches, secrets and runner tags.
- Convert the pipeline to a YAML workflow under .github/workflows and map job dependencies with needs.
- Verify secrets, permissions, protected branches, deployment environments and required checks.
- Compare artifacts and test results across several parallel runs.
- Optionally trial StarSling Ubuntu runners after GitHub Actions jobs are stable.

<a id="best-fit"></a>

## Best fit

**Choose StarSling if:** Teams that want Adaptive Compute for faster jobs, agent PRs and skills that improve CI, configurable code review agents, and dedicated GPUs for tests and model evaluations.

**Choose GitLab CI/CD if:** Teams using GitLab repositories and GitLab CI/CD's integrated pipelines, permissions and runner infrastructure.

## FAQ

### Why choose StarSling over GitLab CI/CD?

For teams moving GitLab pipelines to GitHub Actions, StarSling combines managed runners with agents that improve the resulting workflows. Convert the pipeline configuration first, then select StarSling for Ubuntu jobs. [Adaptive Compute](/blog/adaptive-compute) improves job placement and supplies extra CPU and RAM during running steps. Agents deliver [workflow optimization PRs](/products/runners#ai-prs), and [CI skills](/skills) identify and help fix speed, configuration, and security issues. [Review Runners](/products/review-runners) let you define your reviewers, while [GPU Runners](/products/gpu-runners) provide dedicated hardware for GPU tests and model evaluations.

### When are AI-powered optimization PRs available?

For new accounts, AI-powered optimization PRs are only available to customers on paid plans and are not enabled by default.

### GitHub Actions vs GitLab CI/CD: what's the difference?

Both automate builds, tests and deployments but use different pipeline formats and runner systems. GitHub Actions lives in GitHub and runs YAML workflows from .github/workflows. GitLab CI/CD uses .gitlab-ci.yml and GitLab Runner.

### Can I use StarSling with GitLab CI/CD?

StarSling Runners execute GitHub Actions jobs. Migrate compatible jobs from GitLab CI/CD to GitHub Actions, then select a StarSling Ubuntu runner label.

### How do I migrate GitLab CI/CD to GitHub Actions?

Map GitLab stages and needs to GitHub Actions jobs and needs, replace rules with suitable GitHub events and conditions, migrate secrets and caches, and validate jobs in parallel before cutting over.

<a id="sources"></a>

## Sources

- [GitLab: Hosted Linux runners](https://docs.gitlab.com/ci/runners/hosted_runners/linux/), read 2026-10-24
- [GitLab: Kubernetes executor](https://docs.gitlab.com/runner/executors/kubernetes/), read 2026-10-24
- [GitLab: Agent Skills](https://docs.gitlab.com/user/duo_agent_platform/customize/agent_skills/), read 2026-10-24
- [GitLab: CI Expert Agent](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/ci_expert_agent/), read 2026-10-24
- [GitLab: Fix CI/CD Pipeline Flow](https://docs.gitlab.com/ci/pipelines/fix_pipeline/), read 2026-10-24
- [GitLab: CI/CD](https://docs.gitlab.com/ci/), read 2026-10-22
- [GitLab: YAML reference](https://docs.gitlab.com/ci/yaml/), read 2026-10-22
- [GitLab: Runners](https://docs.gitlab.com/runner/), read 2026-10-22
- [GitLab: Pipeline components](https://docs.gitlab.com/ci/components/), read 2026-10-22
- [GitLab: CLI](https://docs.gitlab.com/cli/), read 2026-10-22
- [GitLab: Runner settings](https://docs.gitlab.com/runner/configuration/advanced-configuration/), read 2026-10-22

## Other comparisons

- [StarSling vs GitHub Actions](https://starsling.dev/compare/github-actions)
- [StarSling vs Depot for GitHub Actions](https://starsling.dev/compare/depot)
- [StarSling vs Blacksmith runners for GitHub Actions](https://starsling.dev/compare/blacksmith)
- [StarSling vs WarpBuild](https://starsling.dev/compare/warpbuild)
- [Buildkite vs GitHub Actions: where StarSling fits](https://starsling.dev/compare/buildkite)
- [GitHub Actions vs Jenkins: where StarSling fits](https://starsling.dev/compare/jenkins)
- [CircleCI vs GitHub Actions: migration and StarSling runners](https://starsling.dev/compare/circleci)
- [StarSling vs Namespace runners for GitHub Actions](https://starsling.dev/compare/namespace)
- [StarSling vs RunsOn runners for GitHub Actions](https://starsling.dev/compare/runs-on)
- [StarSling vs Ubicloud runners for GitHub Actions](https://starsling.dev/compare/ubicloud)
- [Compare GitHub Actions runners and CI platforms: StarSling vs GitHub-hosted, Depot, Blacksmith, WarpBuild, Buildkite, and Namespace](https://starsling.dev/compare)

<a id="references"></a>

## References

- [StarSling Runners are now generally available](https://starsling.dev/blog/starsling-runners-are-now-generally-available)
- [Launch YC: StarSling Runners - Self-Driving CI](https://www.ycombinator.com/launches/R7B-starsling-runners-self-driving-ci)
- [StarSling docs](https://docs.starsling.dev)
- [ci-speedup skill source (open source, MIT)](https://github.com/starslingdev/skills)
- [ci-score skill source (open source, MIT)](https://github.com/starslingdev/skills/tree/main/skills/ci-score)
- [ci-secure skill source (open source, MIT)](https://github.com/starslingdev/skills/tree/main/skills/ci-secure)
- [What is AI-native CI?](https://starsling.dev/ai-native-ci)
- [All StarSling comparisons](https://starsling.dev/compare)
- [GitHub Actions alternatives](https://starsling.dev/github-actions-alternatives)
- [GitHub Actions pricing](https://starsling.dev/github-actions-pricing)
- [Self-hosted GitHub Actions runners](https://starsling.dev/self-hosted-github-runners)
- [Benchmark on your own workflows](https://docs.starsling.dev/performance/benchmarks)
- [Migration guide](https://docs.starsling.dev/configuration/migration-guide)
- [Runner label reference](https://docs.starsling.dev/configuration/label-reference)
- [Runner instance types](https://docs.starsling.dev/runners/instance-types)
- [Adaptive Compute: up to 2.32x faster than GitHub-hosted runners](https://starsling.dev/blog/adaptive-compute)
- [Levels of CI: every way to make GitHub Actions cheaper and faster](https://starsling.dev/blog/levels-of-ci)
- [Install the /ci-speedup skill to fix slow GitHub Actions](https://starsling.dev/skills/ci-speedup)
- [Install the /ci-score skill to improve your GitHub Actions setup](https://starsling.dev/skills/ci-score)
- [Install the /ci-secure skill to close critical attack vectors in GitHub Actions](https://starsling.dev/skills/ci-secure)