Trusted by fast-moving teams
Powering CI for startups and fast-moving engineering teams.
- Faster CI
- 6×
- CI jobs run
- 800,000
What customers are saying
Real teams shipping faster with StarSling Runners.
CI is the new bottleneck
AI made coding 10x faster. CI hasn't kept up, until now.
Product Demo
AI in your CI: how StarSling self-drives
Fast on day one, faster as time goes on.
Faster Builds
5th Gen AMD EPYC processors, faster than GitHub-hosted runners
- 5th Gen AMD EPYC (30% faster than GitHub)
- Compatible with actions/cache, zero config
- Unlimited concurrency
Self-driving
AI agents deep-scan your workflow runs and ship optimization PRs
- Caching: detect missing or misconfigured caches
- Dependency installation: implement faster install strategies (e.g., frozen lockfiles, parallel installs)
- Build steps: parallelize, remove redundant and optimize slow steps
- Tests: detect misconfigured test jobs and test database interactions
- Workflow structure: implement job splitting, matrix strategies, and dependency ordering
Cheaper Than GitHub
4 vCPU Linux runners with 16 GB RAM at usage-based pricing
- $0.008/min vs GitHub's $0.012/min (33% cheaper)
- Queue time never billed
- No seat fees
Real results from customers
Per-workflow breakdown across Better Auth and Mastra.
Real PRs from StarSling agents
Pull Requests merged by customers. StarSling agents analyze and optimize your CI automatically.
ci: shard E2E kitchen-sink across 3 parallel jobs
chore(ci): optimize Playwright browser installs in E2E
chore: fix turbo cache configuration in ci
test(chroma): reduce fixed 2000ms waitForIndexing sleep to 200ms and add Docker healthcheck
test(couchbase): optimize vector test suite by replacing fixed sleeps with bucket.ping()
Install with a one-line change
Drop-in replacement for ubuntu-latest.
Agent path
Install with one prompt
Copy the prompt into your coding agent. No config, no manual edits.
- Checks the GitHub App is installed
- Migrates supported workflows
- Opens a PR for you to review
Manual path
Step 1 — Install the GitHub App
One click to connect your repository. No config files needed.
Install AppStep 2 — Update one line in your workflow
Swap ubuntu-latest for starsling-ubuntu-24.04.
2,000 free minutes. Then $0.008/min.
Free Trial
Free2,000 minutes your first month
- 2,000 minutes included
- Unlimited concurrency
- No credit card required
Usage-Based
$0.008/min33% cheaper than GitHub Actions
- Queue time never billed
- Unlimited concurrency
- 99.99% SLA
Enterprise
CustomVolume discounts available
- Custom minute allocation
- SSO/SAML + dedicated account manager
- <1hr incident response
- Custom SLAs
Compared to GitHub Actions
Frequently asked questions
Everything you need to evaluate StarSling for your CI.
What is StarSling?
StarSling is an AI-native DevOps platform for developers that ship. StarSling Runners are self-driving CI: a drop-in replacement for ubuntu-latest and ubuntu-24.04 that makes GitHub Actions 6x faster and up to 33% cheaper, with AI agents that continuously analyze your workflows and ship optimization PRs.
What does Self-Driving CI mean?
Self-driving CI is CI that improves itself. Beyond running your workflows on faster hardware, AI agents continuously analyze your jobs, run logs, and machine telemetry, then open pull requests that optimize your pipeline: caching, parallelization, dependency installs, test sharding, and workflow structure. Traditional CI is static; self-driving CI gets faster the longer you use it.
How do I speed up GitHub Actions builds?
Two things move the needle: faster hardware and removing redundant work. Swap ubuntu-latest for a runner with stronger CPUs (StarSling Runners are 6x faster end-to-end), then let AI agents find dead steps, cache fixes, and parallelization opportunities your team hasn't had time to fix.
Why are GitHub Actions runs so slow?
Usually the runner. GitHub-hosted ubuntu-latest runs on older shared hardware, so even simple builds spend time waiting on CPU. Switching to faster CPUs (StarSling Runners use 5th Gen AMD EPYC) typically cuts wall-clock time significantly before any workflow optimization.
Are StarSling Runners a drop-in replacement for ubuntu-latest?
Yes. Change runs-on: ubuntu-latest (or ubuntu-24.04) to runs-on: starsling-ubuntu-24.04 in your GitHub Actions workflow files. No other config changes required.
How much do StarSling Runners cost?
$0.008 per minute for 4 vCPU Linux runners with 16 GB RAM, 33% cheaper than GitHub Actions' $0.012/min. Queue time is never billed. New accounts get 2,000 free minutes the first month.
How do StarSling's AI optimizations work?
After installing the StarSling GitHub App, AI agents continuously analyze your workflows, jobs, run logs, and machine telemetry, then open pull requests that optimize your setup: cache fixes, faster install strategies, build parallelization, test sharding, and workflow restructuring. You review and merge. StarSling AI optimizations are not enabled by default for new accounts and are currently in early access. Join the waitlist to get access here.
What's the best GitHub Actions runner for AI-assisted development?
Coding agents (Claude Code, Cursor, Codex) push PR volume up several-fold, which compounds CI cost and queue times fast. The right fit is a runner with unlimited concurrency, continuous AI optimization (so the pipeline gets faster as PR volume grows), and per-minute pricing with no seat fees. StarSling Runners are built for this pattern.
Do I pay for failed jobs?
Yes, but failed jobs typically exit quickly so the cost is minimal. Queue time is never billed, and the 2,000 free minutes give you room to experiment.
How does StarSling handle security and isolation?
Each job runs in its own single-use, hardware-isolated microVM that's destroyed after the run. That's the same isolation model GitHub-hosted runners use, so there's nothing for a later job or a fork PR to persist on or reach. Secrets pass directly from GitHub to your job and are never stored by StarSling. More details in our docs.
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