Bugzy AI

Autonomous QA that runs on every pull request and deploy

Intermediate
Screenshot of Bugzy AI, Autonomous QA that runs on every pull request and deploy

What is Bugzy AI?

Bugzy AI is an autonomous QA agent that tests every pull request and deploy, reports regressions in Slack with screenshots and repro steps, and maintains or repairs existing test suites. It targets engineering teams that need coverage without hiring more QA staff.

Bugzy AI is an automated quality assurance agent built for software teams that want continuous test coverage without expanding headcount. It connects to a repository, issue tracker, and documentation sources, then runs QA against every pull request and deployment. The selling point is that it behaves less like a testing framework and more like a colleague who already knows the product: the more context it receives about how the app is meant to work, the sharper its checks become. In practice the setup is quick. A team links GitHub, Slack and a tracker such as Linear or Jira, and Bugzy reads pull requests, tickets and docs to build product context. From then on each PR and deploy triggers automated testing without anyone writing scripts. Findings arrive in Slack or Teams within roughly thirty minutes, written in plain English with screenshots, reproduction steps and root cause analysis. Reviewers can reply in the thread to correct or refine the agent, and it adapts based on that feedback. Bugzy also accommodates teams that already maintain their own suites. It runs alongside existing tests on the team's own CI, triages failures into product bugs, test problems or flakiness, and can auto-fix broken tests in the repository. Coverage is designed to self-heal as interfaces change, which addresses the maintenance backlog that makes conventional end-to-end suites expensive to keep alive. Published customer stories cite examples such as a health tech QA lead covering a ten to one developer to QA ratio and over a thousand automated runs in five months. The product sits in a crowded space alongside traditional test automation platforms and newer AI testing agents. Its differentiation is the combination of generated and maintained tests with triage of a team's existing suite, all reported through chat rather than a separate dashboard. Note that the company has joined Felan, and the site now directs visitors onward to felan.ai for the next chapter of the product, so buyers should confirm roadmap and account continuity before committing a team.

How do you use Bugzy AI?

  1. 1Review the product direction before signing up
    Start on the homepage to read the positioning and the notice that Bugzy is now part of Felan, then follow the link to felan.ai to understand where the product is heading.
    Bugzy AI — Review the product direction before signing up
  2. 2Connect source control, chat and your tracker
    Link GitHub plus Slack and an issue tracker such as Linear or Jira. The site describes this as roughly a five minute setup.
  3. 3Feed Bugzy product context
    Point it at pull requests, tickets and documentation in Notion or Confluence so it learns how the product is supposed to behave.
  4. 4Let QA run on the next change
    Open or merge a pull request and deploy as normal. Bugzy picks up the change and runs testing without any scripts being written.
  5. 5Read findings and reply in the thread
    Check the Slack or Teams message for failures, screenshots and reproduction steps, then reply with corrections so the agent adapts.
  6. 6Study how other teams rolled it out
    Read the published case studies, including the GoodShape story on scaling testing for twenty developers, to plan your own rollout.
    Bugzy AI — Study how other teams rolled it out

Pros and cons

Pros

  • Triggers QA automatically on every pull request and deploy, so coverage does not depend on someone remembering to run itAI
  • Reports land in Slack or Teams in about 30 minutes with screenshots, reproduction steps and root cause analysisAI
  • Works alongside existing test suites on the team's own CI, triaging failures and auto-fixing broken testsAI
  • Learns product context from repos, tickets and docs, and adjusts when reviewers give feedback in chatAI
  • Self-healing tests reduce the maintenance backlog that typically erodes end-to-end coverageAI

Cons

  • Bugzy has joined Felan and the site now points visitors to felan.ai, so product continuity and roadmap need verification before adoptionAI
  • Pricing is not stated on the homepage; the FAQ promises an explanation but no figures or tiers are published thereAI
  • Several listed integrations, including Bitbucket, Trello and TestRail, are marked as coming soon rather than availableAI
  • Results depend heavily on the quality of connected context, so sparse tickets or documentation will weaken test generationAI
  • No public API or self-hosted option is described, which limits teams with strict data residency requirementsAI

How much does Bugzy AI cost?

Support

An integration request can be sent by email to hello@bugzy.ai, and the homepage carries a FAQ covering stack fit, false positives, data safety and pricing. No dedicated help centre or documentation site is linked.

Integrations

The site lists 17 integrations across source control (GitHub, GitLab), chat (Slack, Teams, email), issue tracking (Linear, Jira, Azure DevOps, Asana, ClickUp), docs (Notion, Confluence) and other tools including Figma, Vercel and Zephyr Scale. Bitbucket, Trello, Discord and TestRail are marked soon.

Features

Core capabilities include automatic QA on every pull request and deploy, product context learned from repos, tickets and docs, self-healing generated tests, triage and auto-fix for existing suites, and plain-English reporting in Slack or Teams with screenshots, reproduction steps and root cause analysis.

Frequently asked questions about Bugzy AI

  • How do you use Bugzy AI?
    The walkthrough on this page covers 6 steps: 1. Review the product direction before signing up 2. Connect source control, chat and your tracker 3. Feed Bugzy product context 4. Let QA run on the next change 5. Read findings and reply in the thread 6. Study how other teams rolled it out.
  • What platforms does Bugzy AI support?
    Bugzy AI is available on Web App.
  • What does Bugzy AI integrate with?
    The site lists 17 integrations across source control (GitHub, GitLab), chat (Slack, Teams, email), issue tracking (Linear, Jira, Azure DevOps, Asana, ClickUp), docs (Notion, Confluence) and other tools including Figma, Vercel and Zephyr Scale. Bitbucket, Trello, Discord and TestRail are marked soon.
  • What are the limitations of Bugzy AI?
    Bugzy has joined Felan and the site now points visitors to felan.ai, so product continuity and roadmap need verification before adoption. Pricing is not stated on the homepage; the FAQ promises an explanation but no figures or tiers are published there. Several listed integrations, including Bitbucket, Trello and TestRail, are marked as coming soon rather than available.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid