AI-Native CI for GitHub Actions.

AI-native CI is continuous integration that does more than run jobs. It observes workflow logs, job timing, cache behavior, failures, and machine telemetry, then uses agents to propose or apply improvements to the pipeline over time.

Traditional CI is static: it executes the workflow you wrote, the same way, every run. The pipeline only improves when an engineer finds time to profile it and hand-tune caching, parallelization, or test layout, which rarely gets prioritized. AI-native CI closes that gap by treating the pipeline itself as something to be continuously analyzed and optimized.

StarSling has two layers. The first is the runner: StarSling Runners are a drop-in replacement for ubuntu-latest and ubuntu-24.04, on faster hardware (5th Gen AMD EPYC), so existing workflows get quicker the moment you change one line. See the runner specs and labels.

The second is the agents. After you install the StarSling GitHub App, agents continuously analyze your workflows, jobs, run logs, and machine telemetry, then open pull requests that optimize your pipeline. You review and merge, so nothing changes your CI without a PR. See how the optimization agents work in the docs.

Faster hardware is real and immediate, but it only addresses one cause of slow CI. The rest is structural: caches that never hit, dependency installs that re-download everything, steps that run serially when they could be parallel, test suites that aren't sharded, and fixed sleeps standing in for real readiness checks.

No runner fixes those by itself, because they live in your workflow files. That is exactly the work AI-native CI takes on: finding the structural waste and proposing the fix as a reviewable PR. You can benchmark StarSling against GitHub-hosted runners on your own workflows.

StarSling agents focus on the highest-leverage, lowest-risk improvements to your GitHub Actions pipeline (see the optimizations docs):

Migration is a one-line change. Install the StarSling GitHub App, then swap your runner label:

Your workflows, actions, and secrets stay exactly as they are. StarSling runs your existing GitHub Actions, just on a different runner. See the migration guide and quickstart for the full walkthrough.

A traditional runner (GitHub-hosted or a third-party fast runner) gives you a machine to execute jobs. It does not look at your pipeline or suggest changes. StarSling is a drop-in runner too, but the agents make it self-driving: the pipeline gets faster the longer you use it, not just the day you switch hardware.

For a side-by-side breakdown, see the comparison with GitHub Actions.