The QA bottleneck
Most teams face the same problem: shipping speed outpaces testing capacity. Manual QA can’t keep up with daily deployments. Traditional automation requires dedicated engineers to write, maintain, and debug tests. The result is either slow releases or gaps in test coverage. Bugzy eliminates this bottleneck — not by giving you another tool, but by adding a QA teammate to your development lifecycle.What makes Bugzy different
Virtual teammate, not a tool
You don’t configure Bugzy — you onboard it. Connect your GitHub repo, brief Bugzy on your product, and introduce it to your team’s Slack or Teams channel. From there, Bugzy participates in your workflow: reacting to PRs, verifying deployments, triaging failures, and learning from team feedback.Five core capabilities
- Extend test coverage — explore your app, generate test plans and Playwright automation. Learn more
- Verify changes — react to PRs, deployments, and tickets with targeted test runs. Learn more
- Triage test failures — classify bugs, auto-fix test issues, file real bugs. Learn more
- Contribute to your tests — connect your existing test repo, TMS, or CI results. Learn more
- Collaborate through your tools — Slack/Teams conversations, meeting bot, dispute flow. Learn more
You own the code
Every test Bugzy writes is a standard Playwright test committed to your repository. No proprietary format, no vendor lock-in. If you stop using Bugzy, the tests remain.Event-driven participation
Bugzy reacts to your development workflow automatically:- PR opened — runs relevant tests against the PR branch
- Deployment completed — verifies the deployed environment
- Slack or Teams message — team triggers runs conversationally
- Meeting transcript — proposes follow-up QA actions
- Scheduled cron — nightly regression suites
Self-improving
Bugzy maintains a knowledge base about your application. When a team member disputes a finding, Bugzy re-evaluates and learns from that feedback. Over time, false positives decrease and test quality improves.Works with what you have
Already have tests? Connect your repo and let Bugzy contribute. Using Zephyr or TestRail? Bugzy can read and write test cases there. CI pipeline producing results? Push them to Bugzy for triage.Outcome-based pricing
You pay for test runs, not seats. A 5-person startup and a 50-person team use Bugzy the same way — the cost scales with usage, not headcount.Key differentiators
| Approach | Test creation | Maintenance | Verify changes | BYOT | Pricing |
|---|---|---|---|---|---|
| Bugzy | AI-generated from product context | Self-healing with AI triage | PR/deploy/ticket triggers | Yes | Per test run |
| Manual QA | Human engineers write tests | Human engineers update tests | Manual regression | N/A | Per headcount |
| Test frameworks (Selenium, Cypress) | Engineers script tests manually | Manual selector/assertion updates | CI-triggered only | N/A | Open-source + infra costs |
| Managed QA services (QA Wolf) | Human QA engineers | Human QA engineers maintain | Scheduled runs | No | Enterprise contracts |
Who Bugzy is built for
Teams without dedicated QA
Engineering teams shipping web applications that need test coverage but don’t have QA engineers on staff.
Startups scaling fast
Growing teams where deployment frequency is outpacing manual testing capacity.
Teams with existing test suites
Teams that already have tests and want AI to extend, maintain, and contribute to their existing suite (BYOT).
Engineering leads
Leaders who want QA capacity without diverting engineering resources from product work.
Integration ecosystem
Bugzy connects to the tools your team already uses:- Source control: GitHub (PR triggers, test commits, status checks)
- Messaging: Slack, Microsoft Teams (run triggers, result notifications, dispute flow)
- Issue tracking: Jira Cloud, Jira Server, Azure DevOps, Asana, Linear
- Documentation: Notion (product context for better test generation)
- Meetings: Meeting bot (Zoom, Google Meet, Teams transcripts)
Getting started
Quickstart
Connect your repo and run your first tests in 10 minutes.
How it works
Understand the execution pipeline and architecture.