StarSling is live · pricing from $0.008/min · last verified 14 Nov 2026 · viability healthy
StarSling
StarSling runs GitHub Actions on cheaper, faster AMD EPYC runners, with AI agents that keep optimizing your CI.
The migration risk is tiny — one YAML line, 2,000 free minutes, no card — so the real question is whether your team will actually merge the agent PRs. If nobody owns reviewing AI-generated CI changes, you're buying faster hardware and little else, and cheap per-minute runners are a crowded market. Budget reviewer time or pass.
Verdict generatedVerified 3h ago · liveness 75/100 · cite: rightaichoice.com/tools/starsling
- GitHub Actions teams whose queue times and suite wall clock are the daily bottleneck
- Startups that want faster CI without hiring a platform or DevOps engineer
- GPU test suites tired of borrowing capacity from production
- Engineering leads comparing per-minute rates against GitHub larger runners
- Teams on GitLab, Jenkins or CircleCI — StarSling only runs GitHub Actions
- Organizations requiring self-hosted, VPC-isolated or air-gapped runners
- Teams with no bandwidth to review and merge agent-generated PRs
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Skip StarSling if your CI runs on GitLab, Jenkins or CircleCI, or if your organization requires self-hosted, VPC-isolated or air-gapped runners — this is a cloud-managed service for GitHub Actions only.
GPU Runners carry their own per-minute rates on top of the CPU host — $0.05922/min for the RTX PRO 6000, $0.03022/min for the RTX 5090 and $0.02522/min for the RTX 4090 — so a long GPU test is billed at roughly 7x the
Per-minute rates of $0.004–$0.128 make StarSling cheapest against GitHub's Linux x64 larger runners (33% off at 2 and 4 vCPU, 21% at 64 vCPU), and free queue time plus unlimited concurrency beats GitHub on busy matrices. It's more expensive than self-hosted runners you operate yourself, and the Enterprise tier adds volume discounts, SSO/SAML and a dedicated account manager once your spend justifies the negotiation.
In short
StarSling — StarSling runs GitHub Actions on cheaper, faster AMD EPYC runners, with AI agents that keep optimizing your CI. Best for GitHub Actions teams whose queue times and suite wall clock are the daily bottleneck, Startups that want faster CI without hiring a platform or DevOps engineer, GPU test suites tired of borrowing capacity from production. Plans from $0.008/min.
What is StarSling?
StarSling — StarSling runs GitHub Actions on cheaper, faster AMD EPYC runners, with AI agents that keep optimizing your CI. Best for GitHub Actions teams whose queue times and suite wall clock are the daily bottleneck, Startups that want faster CI without hiring a platform or DevOps engineer, GPU test suites tired of borrowing capacity from production. Plans from $0.008/min.
StarSling is a drop-in runner replacement for GitHub Actions. You swap runs-on: ubuntu-latest for runs-on: starsling-ubuntu-26.04 and your existing jobs move onto 5th Gen AMD EPYC hardware in six sizes, from 2 vCPU / 8 GB at $0.004/min up to 64 vCPU / 256 GB at $0.128/min — 21% to 33% below GitHub's larger-runner list prices. Queue time is never billed and concurrency is unlimited at every tier, so a busy matrix stops waiting its turn. The hardware is the entry ticket. The agent layer is why teams stay: StarSling's agents read your actual run history and open pull requests that shard suites, repair caching and shorten the critical path. Published customer results are concrete — Mastra went from 29m 56s to 5m 06s, Partcl cut queue time from 9.5 minutes to 35 seconds, Better Auth halved its E2E suite. CI Playbooks, released October 2026, collects 253 techniques from companies running software factories, each paired with a prompt your coding agent can apply. Three runner types share the platform. CPU Runners are the base. GPU Runners attach a dedicated NVIDIA RTX PRO 6000, RTX 5090 or RTX 4090 to a 4 vCPU host, so GPU tests stop borrowing production capacity (H100 is listed as coming soon). Review Runners, opened to private beta alongside a $3M pre-seed from Bessemer Venture Partners and Y Combinator, run your own review models and repo-native skills on every pull request. Adaptive Compute, launched October 2026, adds a Sandbox Router that sends each job to the fastest available sandbox plus Afterburner, which adds up to 25% more CPU and 50% more RAM mid-step at no extra charge. That backs StarSling's 2.32x claim against GitHub-hosted runners, and it placed first on the Rust and TypeScript builds in RunsOn's 9-provider benchmark.
Key features
- Drop-in GitHub Actions runners via runs-on: starsling-ubuntu-26.04 labels
- Six CPU sizes from 2 vCPU / 8 GB ($0.004/min) to 64 vCPU / 256 GB ($0.128/min)
- Queue time never billed, unlimited concurrency at every rate
- AI agents read build history and open PRs that shard suites, fix caching and cut critical path
- Up to 91% runtime reduction claimed from agent optimization, with named customer results
- GPU Runners with dedicated NVIDIA RTX PRO 6000, RTX 5090 or RTX 4090, billed per minute
- Per-job GPU selection via runs-on labels like starsling-ubuntu-26.04-gpu/gpus=rtx-5090:1
- Review Runners execute your own review models and repo-native skills on every pull request (private beta)
- Adaptive Compute Sandbox Router routes each job to the fastest available sandbox
- Afterburner adds up to 25% more CPU and 50% more RAM mid-step at no extra cost (early access)
- Up to 2.32x faster than GitHub-hosted runners on Adaptive Compute, per StarSling
- CI Playbooks: 253 sourced CI techniques each paired with an agent prompt
- sling: agent-first CLI that diagnoses failed jobs, ranks slow workflows and reports CI cost
- Open-source ci-speedup, ci-score and ci-secure skills for coding agents
- CI Harness v2 agent flags long-standing bottlenecks and proposes speedups
Behind the verdict
We'd reach for StarSling when the daily pain is a GitHub Actions queue that never empties and a suite whose wall clock keeps creeping. The one-line swap means you can test the hardware in an afternoon, and the 2,000 first-month minutes cover a real trial rather than a toy. If all you want is cheaper per-minute compute, it delivers — the ladder undercuts GitHub's list rates on every size, and unlimited concurrency removes the matrix bottleneck. The agents are the part that decides whether you stay. They read your run logs and open optimization PRs — sharding, cache repairs, critical-path trimming — and the published customer numbers (Mastra, Partcl, Better Auth) are specific enough to sanity-check. CI Playbooks extends that with 253 sourced techniques and copy-paste prompts for your coding agent. Where it bites: every agent PR needs a human to review and merge. Teams with no CI owner will watch those pull requests pile up. StarSling also only handles GitHub Actions — GitLab, Jenkins and CircleCI shops are out — and self-hosted, VPC-isolated or air-gapped runners aren't on the menu. GPU Runners are a clean fit for test suites that have been stealing production capacity; the RTX PRO 6000, 5090 and 4090 are billed per minute with per-job selection via runs-on labels. H100 is listed as coming soon, so don't plan around it yet. Review Runners are in private beta — interesting if you already run your own review models, not something to build a roadmap on. Closest alternative is Blacksmith, which also sells faster GitHub runners. StarSling's differentiator is the agent/PR layer and Adaptive Compute, not just hardware. Compare the two on your own workloads before committing to either. Budget for per-minute billing rather than a flat monthly bill; the first-month allowance
Limitations
- StarSling's runner infrastructure is specific to GitHub Actions, and its optimization and review agents run inside that system, so the product only applies to teams already on GitHub Actions.
- GPU runners are opened per organization via request access rather than being instantly available, and the NVIDIA H100 is described as coming soon.
- Review Runners are in early access/private beta, so the agent-native code-review layer is not generally available.
- Agent optimization arrives as pull requests that engineers must review and merge, so realized time savings depend on your team's review capacity.
as of 2026-10-09
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Is StarSling still active?
StarSling is live · pricing from $0.008/min · last verified 14 Nov 2026 · viability healthy.
Viability score
How well maintained and how widely used is StarSling? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What's new in StarSling
Checked 6 days agoAcross the latest 7 updates: 1 feature update, 2 launches and 4 news mentions.
StarSling releases CI Playbooks with 253 GitHub Actions techniques
CI Playbooks collects 253 CI techniques from ten companies running software factories, each sourced and paired with an agent prompt to apply it.
StarSling publishes OpenAI's CI playbook as GitHub Actions prompts
Post covers OpenAI's Core Experimentation team cutting median CI time from about 10 minutes to 4.5, with ten techniques and copy-paste agent prompts.
StarSling breaks down Anthropic's CI playbook for GitHub Actions
Covers Anthropic's CI jobs growing 25x in six months and how to run only the tests a change affects in GitHub Actions, with a prompt per technique.
StarSling adds Adaptive Compute to GitHub Actions runners
StarSling Runners with Adaptive Compute ran up to 2.32x faster than GitHub-hosted runners, with CPU up to 25% and RAM up to 50% higher at no extra cost.
StarSling tops RunsOn's GitHub Actions runner benchmark
StarSling Runners finished first on the Rust and TypeScript builds in RunsOn's public benchmark, which covered 9 providers and 89 runners.
StarSling raises $3M pre-seed and opens Review Runners private beta
A $3M pre-seed from Bessemer Venture Partners, Y Combinator and five more funds, plus Review Runners entering private beta.
StarSling launches GPU Runners for GitHub Actions
GitHub Actions runners backed by NVIDIA GPUs — RTX PRO 6000, RTX 5090 and RTX 4090, with H100 coming. Configured with one line in runs-on.
What do users say about StarSling?
What people actually say about StarSling — is it worth it?
We scanned public community sources for StarSling on Nov 4, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 0 of the posts we fetched could be positively tied to StarSling. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about StarSling — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 14 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified StarSling 15 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed our verdict, pricing tiers, features, summary, description
- — changed pricing page
- — changed description, pricing tiers, integrations, features, our verdict
- — changed SSL certificate
- — changed pricing page
- — changed summary, description, our verdict, features, integrations, pricing tiers
Showing the 6 most recent of 15 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does StarSling cost in 2026?
StarSling: Plans from $0.008/min. Pricing last verified 14 Nov 2026.
Plans compared
Every published StarSling tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free Trial | Free trialVendor: “$0” | trial | A GitHub Actions team that wants to test the runner swap and agent PRs on a real workflow before committing budget.Adds: Free entry point: 2,000 minutes in the first month, unlimited concurrency, no credit card required, no optimization agents. |
| Usage-Based | $0.008/min | usage | Production GitHub Actions shops with steady CI volume that want lower per-minute rates plus the optimization agents working on their suites.Adds: Adds paid per-minute usage from $0.004 to $0.128, the optimization agents, GPU Runner rates, Review Runner billing at CPU rates, 99.99% SLA and free queue time. |
| Enterprise | Custom | quote | Larger engineering organizations with enough CI spend to negotiate volume pricing and that need SSO/SAML and contractual SLAs.Adds: Adds volume discounts, custom minute allocation, SSO/SAML, a dedicated account manager, under 1 hour incident response and custom SLAs on top of usage-based pricing. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where StarSling's pricing actually pencils out — and where peers do it cheaper.
Per-minute rates of $0.004–$0.128 make StarSling cheapest against GitHub's Linux x64 larger runners (33% off at 2 and 4 vCPU, 21% at 64 vCPU), and free queue time plus unlimited concurrency beats GitHub on busy matrices. It's more expensive than self-hosted runners you operate yourself, and the Enterprise tier adds volume discounts, SSO/SAML and a dedicated account manager once your spend justifies the negotiation.
Has StarSling's pricing changed?
No plan price for StarSling has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick StarSling?
Pick StarSling if you are GitHub Actions teams whose queue times and suite wall clock are the daily bottleneck, Startups that want faster CI without hiring a platform or DevOps engineer, GPU test suites tired of borrowing capacity from production, Engineering leads comparing per-minute rates against GitHub larger runners.
Look elsewhere if you are Teams on GitLab, Jenkins or CircleCI — StarSling only runs GitHub Actions, Organizations requiring self-hosted, VPC-isolated or air-gapped runners, Teams with no bandwidth to review and merge agent-generated PRs, Anyone needing H100 capacity today — it is listed as coming soon.
Skip it if Skip StarSling if your CI runs on GitLab, Jenkins or CircleCI, or if your organization requires self-hosted, VPC-isolated or air-gapped runners — this is a cloud-managed service for GitHub Actions only.
GeneratedReal-world workflow fit
Concrete scenarios for the personas StarSling actually fits — and what changes day-one when you adopt it.
Swap runs-on: ubuntu-latest for starsling-ubuntu-24.04 across the main workflow, run a week of builds, then let the agents open PRs sharding the test suite and fixing the cache.
Outcome: CI per-minute cost drops against GitHub's $0.012/min list price for 4 vCPU and agent PRs cut wall-clock — the pattern behind Mastra's 29m 56s to 5m 06s suite reduction.
Move GPU-dependent jobs to a StarSling GPU Runner with gpus=rtx-5090:1 so the test gets a dedicated card on a 4 vCPU / 16 GB / 100 GB host.
Outcome: Production GPUs stay on product work, and the GPU job bills per minute ($0.03022/min on the RTX 5090) instead of competing for serving capacity.
Run the free ci-score skill against a local checkout to rank gaps, then use the sling CLI to see where minutes and money actually go before committing to a runner migration.
Outcome: A costed migration case — the pricing page's own example shows 10,000 StarSling minutes at $80 versus the same job's 17,000 GitHub minutes at $204.
Use cases
- Replace ubuntu-latest with StarSling runners to cut per-minute CI cost by up to 33%
- Let agents open PRs that shard test suites, fix caching and parallelize dependency installs
- Run GPU-dependent tests on dedicated RTX 4090, 5090 or PRO 6000 cards instead of production GPUs
- Run your own review models and repo-native skills on every pull request with Review Runners
- Diagnose failed jobs, rank slow workflows and see CI cost from the terminal with the sling CLI
- Audit existing GitHub Actions configs with the free ci-score and ci-secure skills before migrating
- Cut queue time on busy matrix builds without paying for concurrency
- Right-size each job so a 2 vCPU task stops occupying a 64 vCPU machine
Setup time & first value
How long it actually takes to get something useful out of StarSling — broken out by persona, not the marketing-page minute.
For a GitHub Actions team the runner swap is minutes: install the GitHub App, point runs-on at starsling-ubuntu-24.04, and the first job runs on StarSling hardware. Expect an afternoon to right-size the larger workflows. GPU Runners and Review Runners take longer because access is opened per org after you describe the card and workload. Free ci-score and ci-secure audits run inside your existing
Switching to or from StarSling
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From GitHub-hosted Actions runners: change runs-on from ubuntu-latest to starsling-ubuntu-24.04 after installing the GitHub App.
- →From self-hosted GitHub runners: point the same workflows at StarSling labels to drop runner maintenance while keeping Actions syntax.
- →From larger GitHub runners: map each job's vCPU size to the equivalent StarSling label (starsling-ubuntu-24.04-8, -16, -32, -64) to keep the same compute shape.
- →Before migrating: run the free ci-score skill against a local checkout to grade the config and rank fixes, so you don't carry slow patterns onto faster metal.
- ↗To GitHub-hosted runners: revert the runs-on labels to ubuntu-latest and GitHub runs the jobs again with no config rewrite.
- ↗To self-hosted runners: keep the workflow YAML and swap labels back to your own runner groups.
- ↗To another GitHub Actions runner provider: since only the runs-on label changed, the same one-line edit moves you off StarSling.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “StarSling”, and we withheld 6: 6 could not be judged, because “StarSling” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about StarSling.
Official links
What are the best StarSling alternatives?
The closest alternatives to StarSling we list are WarpBuild, Coder and Ubicloud. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| WarpBuild | Paid | Pricing not published | — |
| Coder | Freemium | Pricing not published | — |
| Ubicloud | Freemium | Pricing not published | — |
Alternatives to StarSling
View all
Tools that pair well with StarSling
Common stack mates teams adopt alongside StarSling, with the specific reason each pairing earns its keep.
WarpBuild
WarpBuild runs GitHub Actions CI on faster, cheaper runners — 2x faster builds at 50% lower per-minute cost
Coder
Self-hosted cloud development environments with governance for AI coding agents — Coder keeps the control plane on your infrastructure
Ubicloud
Open source cloud IaaS on bare metal — managed PostgreSQL, GitHub Actions runners, and VMs at a fraction of hyperscaler cost
StarSling vs its closest rival
StarSling's closest head-to-head is with Spider Cloud.
Our StarSling vs Spider Cloud verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
Categories
For makers of StarSling
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