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Bugzy AI vs RunsOn

Provides cheaper CI execution but does not generate or maintain tests automatically like Bugzy.
Bugzy AIRelease faster with QA that keeps upRunsOnShockingly cheaper CI

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
DevHunt upvotes
Bugzy AI:19
RunsOn:32
Launched on DevHunt
Bugzy AI:Mar 2026
RunsOn:Feb 2024

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 Generates tests that adapt to UI changes, eliminating flaky or outdated scripts.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.
Bugzy AI on DevHunt →Alternatives

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.
RunsOn on DevHunt →Alternatives

Based on each tool's website and DevHunt data. Details may change; check the official sites.