Compare
Bugzy AI vs RunsOn
Provides cheaper CI execution but does not generate or maintain tests automatically like Bugzy.
Which to pick
Pick Bugzy AI if you want…
- Automated PR-based QA with AI-generated tests
- Integrations with GitHub, GitLab or Bitbucket (on Bugzy AI's list, not RunsOn's)
Pick RunsOn if you want…
- Cheap, scalable CI on AWS
- Low-cost CI pipelines
- A free plan to start with (Free (non-commercial))
- Open-source code (runs-on/runs-on on GitHub, MIT license)
- Integrations with GitHub Actions, CloudFormation or Terraform (on RunsOn's list, not Bugzy AI's)
Side by side
- What it is
- Bugzy AI:Bugzy AI runs automated QA on every PR and deploy, learning from code, tickets and docs, and reports findings in Slack.
- RunsOn:RunsOn runs GitHub Actions jobs on on-demand AWS EC2 instances, cutting CI cost and latency.
- Best for
- Bugzy AI:Automated PR-based QA with AI-generated tests
- RunsOn:Cheap, scalable CI on AWS
- Who it’s for
- Bugzy AI:Engineering teams that want automated regression testing without writing or maintaining test scripts.
- RunsOn:Engineering teams that self-host CI on AWS and use GitHub Actions.
- Pricing
- Bugzy AI:Paid
- RunsOn:Paid
- Plans
- Bugzy AI:Starter €250/month per month · Growth €500/month per month · Scale €1,500/month per month
- RunsOn:Starter €300/ year per year · Enterprise €3,600/ year per year · Free (non-commercial) free
- Open source
- Bugzy AI:—
- RunsOn:Yes, 1,339 GitHub stars
- Works with
- Bugzy AI:GitHub, GitLab, Bitbucket, Linear, Jira Cloud, Jira Server, Azure DevOps, Asana
- RunsOn:GitHub Actions, CloudFormation, Terraform
Bugzy AI features
- Auto QA on PRs & Deploys. Triggers testing for every pull request and deployment without manual scripts.
- Product Context Learning. Reads GitHub, Linear, Jira and Notion to build understanding of expected behavior.
- Self-healing Tests. Generates tests that adapt to UI changes, eliminating flaky or outdated scripts.
- Slack/Teams Reporting. Posts plain-English regression findings with screenshots and repro steps within 30 minutes.
- Works with Existing Tests. Triages, debugs and auto-fixes failures in your current test suite alongside generated tests.
- All-Integration Coverage. Supports 17+ tools including GitHub, GitLab, Slack, Teams, Jira, Linear, Asana and more.
RunsOn features
- Dynamic instance selection. Specify CPU, RAM, architecture or GPU in a label and RunsOn launches the matching EC2 spot or on-demand instance.
- Fast job startup. Typical 30 s from queued to running; warm pools can reduce latency to under 6 s.
- Unlimited machine types. Any EC2 instance type, including x64, ARM64 and GPU, can be used per job.
- S3-backed caching. Add extras=s3-cache to use an unlimited S3 bucket in your VPC for cache storage.
- Nested virtualization. KVM for Linux and Hyper-V for Windows enable Android emulators, VM-based e2e tests and Windows containers.
- Per-job isolation. Each job runs on a fresh VM that is terminated when the job finishes, keeping data private.
Bugzy AI vs RunsOn FAQ
Is Bugzy AI or RunsOn free?+
Bugzy AI is paid, from €250/month (Starter), with a free trial. RunsOn has a free plan (Free (non-commercial)) and paid plans.
Is Bugzy AI or RunsOn open source?+
RunsOn is open source (runs-on/runs-on on GitHub, MIT license). DevHunt has no public source repository on record for Bugzy AI.
Do Bugzy AI and RunsOn integrate with the same tools?+
Their integration lists don't overlap: Bugzy AI lists GitHub, GitLab, Bitbucket, Linear and 10 more; RunsOn lists GitHub Actions, CloudFormation and Terraform.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.