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Self-driving CI

Faster GitHub Actions runners with AI agents that continuously improve your build speeds

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Trusted by fast-moving teams

Powering CI for startups and fast-moving engineering teams.

Faster CI
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GitHub Actions jobs
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What customers are saying

Real teams shipping faster CI with StarSling agents.

Abhi Aiyer

Abhi Aiyer

Co-founder & CTO, Mastra

HUGE props to @yonasbe and @dbworku for helping us speed up our CI! PLUS the starsling bot continually finding optimizations for us. At Mastra we move so fast that the bottleneck becomes reviews and CI. Time spent compounds and @starslingdev helps you realize how much time you're losing.
Beka

Beka

Founder, Better Auth

We've been using @starslingdev for better auth CI :> it's been saving us countless hours! both with fast runners and their agent optimizing our CI. huge congrats on the launch!!

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 with caching that's 4X 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
  • AI optimizations included
  • No seat fees

Real results from customers

Per-workflow breakdown across Better Auth and Mastra.

View on GitHub

Combined Store Teststest-combined-stores.yml
GitHub
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StarSling
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GitHub
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StarSling
0s0.0x
GitHub
0s
StarSling
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Real PRs from StarSling agents

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

Install with a one-line change

Drop-in replacement for ubuntu-latest.

Update one line in your workflow

Install the StarSling GitHub app then swap ubuntu-latest for starsling-ubuntu-24.04.

.github/workflows/ci.yml
4build:
runs-on: ubuntu-latest
+ runs-on: starsling-ubuntu-24.04

2,000 free minutes. Then $0.008/min.

AI-powered optimizations included with every minute.

Free Trial

Free

2,000 minutes your first month

  • 2,000 minutes included
  • AI optimizations included
  • Unlimited concurrency
  • No credit card required
Y CombinatorAlum

Discount

Usage-Based

$0.008/min

33% cheaper than GitHub Actions

  • AI optimizations included
  • Queue time never billed
  • Unlimited concurrency
  • 99.99% SLA

Enterprise

Custom

Volume discounts available

  • Custom minute allocation
  • SSO/SAML + dedicated account manager
  • <1hr incident response
  • Custom SLAs
Contact Sales 

Compared to GitHub Actions

Compared to GitHub Actions
RunnerGitHubStarSling
2 vCPU / 8 GB$0.006/min$0.004/min33% less
4 vCPU / 16 GB$0.012/min$0.008/min33% less
8 vCPU / 32 GB$0.022/min$0.016/min27% less
16 vCPU / 64 GB$0.042/min$0.032/min24% less

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 80% 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?

Three things move the needle: faster hardware, better caching, and removing redundant work. Swap ubuntu-latest for a runner with stronger CPUs and faster cache (StarSling Runners are 80% faster end-to-end), then let AI agents find dead steps 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 with a slower cache service, so even simple builds spend time waiting on CPU and on cache fetches. Switching to faster CPUs and a regional cache (StarSling Runners do both) typically cuts wall-clock time in half 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.

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 on a fresh ephemeral runner that's destroyed after the job completes. Secrets pass directly from GitHub to your job and are never stored by StarSling.

Supercharge your CI with AI

Join AI-native teams that have switched to StarSling Runners