Release faster with QA that keeps up

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March 27, 2026

2026 Rank: #1807

Bugzy AI

Bulgaria Bugzy AI Test automation

9,201

5.0(1)

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Release faster with QA that keeps up

Automated Testing Quality Assurance Quality Assurance Automation Software Release Adaptive Testing Software Context UnderstandingFree + from $250/mo

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Overview

Bugzy AI is an AI-based tool that accelerates software release by automated testing and quality assurance (QA). It conducts QA runs on every pull request (PR) and deployment, thereby providing coverage without the need for additional staffing resources.

The tool connects to GitHub, Slack, Linear, Jira, Notion, and more for full system integration. It reads PRs, tickets, and product documentation to understand the software context and enhance its testing effectiveness.

The tool has a unique understanding of your product where, given more context, leads to increasing accuracy. Bugzy AI also adapts to changes in the UI, with automatically generated tests that adjust themselves when there's alterations, eliminating tedious test maintenance.

The results of the testing process can be accessed within a timeframe of approximately 30 minutes, which are posted directly in the Slack, Linear or Jira platform, consisting of reproducible steps, screen shots and root cause analysis.

Furthermore, Bugzy AI offers a feature where it works in tandem with any pre-existing tests, handling triage, debugging, and auto-fixing of broken tests, hence maximizing overall test efficiency.

The tool is compatible with a wide array of platforms making it versatile for different work environment setups.

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Bugzy AIInitial

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Initial release

March 27, 2026

Initial release of Bugzy AI.

Author

Milko Slavov

@milko-slavov

20+ years shipping software — IC → Staff Engineer → CTO at companies from 5 to 500 people. US Patent holder. I built Bugzy because every team I talked to had the same problem: AI coding tools made their devs faster, but QA didn't keep up. Regressions on every PR, incidents climbing, nobody verifying what AI writes. Bugzy runs QA on every PR and deploy — automatically. It learns your product from PRs, tickets, and docs. Findings in Slack in 30 minutes. 6 teams use it daily.

www.bugzy.ai

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Bugzy AI

🇧🇬 Bulgaria

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1 tool

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Joined: March 2026

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$250/month

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Monthly

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No Refunds

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21 days

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Test automation Bugzy AI

Bulgaria Bugzy AI Test automation

9,201

5.0(1)

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Pros and Cons

Pros

Works on every PR

Every change triggers testing

Quick 30 minute results

Tools integration (GitHub, Slack)

Automated test generation

Automated test maintenance

Contextual learning from PRs

Adapts to UI changes

Compatible with existing tests

Tests sent directly to Slack

Includes screenshots and repro steps

Root cause analysis included

Defect triage handling

Auto-fixes broken tests

Multi-platform compatibility

Integration with Jira, Notion

Plain-English findings

Eliminates maintenance backlog

Setup only takes 5 minutes

Up to 17 integrations

Maximizes test efficiency

Multi-platform integration

21-day free trial

View 18 more pros

Cons

Limited integration options

Extensive setup time

Possibly incorrect auto-generated tests

May miss contextual errors

30-minute delay for results

Increased dependency on Slack/Teams

Expensive for small-scale usage

Limits on triages/test cases

No real-time testing functionality

Results may lack depth

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Q&A

What is Bugzy AI?

Bugzy AI is a quality assurance automation tool designed to streamline and automate the QA process. It performs QA tests for every pull request and every deployment, integrating with a host of tools and gradually refining its understanding of the product based on user feedback.

What are the key features of Bugzy AI?

The main features of Bugzy AI include its ability to automatically generate and maintain tests, adapt tests when the UI changes, eliminate the need for maintenance backlog, and 'self-heal' when the UI changes. It also updates its coverage along with code changes, offers speedy testing, provides plain English reports with screenshots, steps to reproduce and root cause analysis, and can assist with existing tests by debugging and auto-fixing failures. Bugzy AI's learning capabilities allow it continually hone its capabilities with use.

How does Bugzy AI streamline the quality assurance process?

Bugzy AI streamlines the quality assurance process by automating QA tests for every pull request and every deploy, thereby eradicating the need to increase the team size. It generates and maintains tests, adapts these tests when UI changes, and eliminates the necessity of maintaining a backlog. By doing so, it speeds up the testing process and improves the speed of product releases.

Does Bugzy AI integrate with tools like GitHub, Slack, Linear, Jira, and Notion?

Yes, Bugzy AI seamlessly integrates with tools such as GitHub, Slack, Linear, Jira, and Notion. This allows the tool to read pull requests, tickets, and documentations from these platforms.

How does Bugzy AI improve its understanding of the product over time?

Bugzy AI progressively refines and improves its understanding of the product based on the feedback provided by users. This user feedback is instrumental in continually honing Bugzy AI's capabilities and increasing its efficiency with every use.

What functionalities does Bugzy AI offer?

Bugzy AI comes with a variety of features including automatic generation and maintenance of tests, capability to adapt tests when the UI changes, elimination of maintenance backlog, ability to self-heal when UI encounters changes, updating of test coverage with code changes, speedy testing, and production of detailed reports in plain English. Additionally, Bugzy AI can assist with existing tests by running them alongside its own, improving them by triaging failures and auto-fixing broken ones.

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How does Bugzy AI update its test coverage when UI changes?

Bugzy AI updates its test coverage to match code changes, using its ability to read pull requests and other documentation. Specifically, when the user interface changes, Bugzy AI automatically adapts the tests corresponding to those changes to ensure thorough and updated testing.

Can Bugzy AI self-heal when UI encounters changes?

Yes, Bugzy AI has the capability to 'self-heal' when the user interface encounters changes. This self-healing feature means the tool automatically adapts the tests that correspond to those UI changes, thereby reducing the chances of failing tests due to these alterations.

Does Bugzy AI provide speedy testing and how long does it generally take?

Yes, Bugzy AI does provide speedy testing. After the tool is kick-started, it delivers the test results typically within 30 minutes. This allows teams to quickly act on any issues and initiate any necessary corrective measures.

How detailed are Bugzy AI reports?

Bugzy AI's reports are delivered in plain English, making them easy to understand. The reports include screenshots to visually illustrate any issues, step-by-step instructions to reproduce the problem, and a root cause analysis to elucidate what triggered the problem.

Can Bugzy AI run and improve my existing tests?

Yes, Bugzy AI can run and improve existing tests. It works alongside existing tests by triaging failures, debugging issues, and auto-fixing broken tests. Your existing tests continue running on your infrastructure while being enhanced by the capabilities of Bugzy AI.

Does Bugzy AI learn from user feedback?

Yes, Bugzy AI learns from user feedback and interactions. This user input is key to the tool's continuous improvement over time, ensuring that it adapts and evolves to become more effective with each use.

What is the setup process for Bugzy AI?

The setup process for Bugzy AI is quick and easy, designed to provide teams with a convenient and efficient tool to expedite their QA processes and speed up the release of products.

Does Bugzy AI require an increase in team size?

No, Bugzy AI does not require an increase in team size. It is designed to perform QA tests for every pull request and deploy automatically, thereby mitigating the need to increase the workforce.

What is the 'code coverage' feature in Bugzy AI?

The 'code coverage' feature in Bugzy AI refers to the tool's ability to update its testing coverage in line with changes in the code base. This feature ensures that as the user interface changes and the code evolves, the testing processes are automatically adapted to match those changes.

What is the process of Bugzy AI's test generation and maintenance?

Bugzy AI's test generation and maintenance process involves automatic creation of tests based on the product's context. When the UI changes, Bugzy AI automatically adapts these tests to match the changes, thereby eliminating the need for maintenance backlog.

Does Bugzy AI interact with pull requests and documentations?

Yes, Bugzy AI interacts with pull requests and documentations. The AI is integrated with several tools including GitHub, allowing it to read pull requests, tickets, and documentations to help refine its understanding of the product.

How does Bugzy AI assist in software development and product release?

Bugzy AI assists in software development and product release by automating the quality assurance process. It performs automated testing on every deploy and pull request, and provides comprehensive reports that include regression detection, screenshots, steps to reproduce any identified issues, and root cause analysis. The result is an improved, expedited QA process, faster releases and improved software products.

Can Bugzy AI triage and auto-fix broken tests?

Yes, Bugzy AI can triage and auto-fix broken tests. It runs in conjunction with existing tests, and when it detects a failure, it capacitates the debugging of issues and automatically rectifies the broken tests, without requiring any user intervention.

What does it mean when it says Bugzy AI 'runs automatically on every deploy'?

'Runs automatically on every deploy' means that Bugzy AI conducts automated Quality Assurance (QA) testing every time a code deployment happens. This ensures that QA happens consistently, without the need for a manual trigger, thus ensuring that every change in the software is tested for issues and bugs before it locks.

How does Bugzy AI work with existing tests?

Bugzy AI collaborates with any pre-existing tests, handling the triage of failures, debugging issues, and auto-fixing broken tests present in your repo. The existing tests continue to run on your infrastructure while Bugzy enhances them.

What does Bugzy AI do when it detects a UI change?

When Bugzy AI detects a UI change, it generates tests that self-adapt, effectively eliminating the need for maintenance. This is part of Bugzy's adaptive testing feature which ensures consistent test maintenance even when your UI undergoes alterations.

What kind of findings does Bugzy AI produce from automated testing?

Bugzy AI's automated testing produces findings in plain English that include screenshots, reproducible steps, and root cause analysis. These results are presented in a comprehensive and understandable manner, similar to a team member reporting findings.

Can Bugzy AI's reports be sent to platforms other than Slack?

Yes, in addition to Slack, Bugzy AI's reports can be sent to Linear and Jira platforms as well. This versatility allows for seamless integration with various team communication tools.

What can Bugzy AI learn from PRs, tickets, and docs?

Bugzy AI learns your product by reading PRs, tickets, and product documentation. This information enables Bugzy to build a context around your product, understand its functionality, and enhance its testing effectiveness based on this knowledge.

How does Bugzy AI understand my product?

Bugzy AI understands your product by connecting with your tools such as GitHub, Linear, Jira, Notion etc., and reading PRs, tickets, and docs which builds context. This connection and the information gained helps Bugzy learn your product and increases its efficiency over time.

How long does it take for Bugzy AI to produce results?

It takes approximately 30 minutes for Bugzy AI to produce results from the automated testing. This quick turnaround time allows for swift action in the event of any identified issues.

What integrations does Bugzy AI support?

Bugzy AI supports integrations with 17 platforms, including GitHub, Slack, Linear, Jira, and Notion among others. This wide array of integrations ensures a seamless experience for users by connecting to various tools in use by your team.

How much does Bugzy AI cost?

Bugzy AI pricing starts at €250 per month, which includes 50 triages and 10 test cases. Additional triage is offered at €5 and additional test case at €10.

Is there a free trial for Bugzy AI?

Yes, Bugzy AI provides a 21-day free trial, allowing potential users to experience its features without any financial commitment. A credit card is not required to start the free trial.

What is included in the Bugzy AI pricing package?

The Bugzy AI pricing package includes managed test runs, all integrations, and support. The starting package at €250 per month includes 50 triages, 10 test cases, and up to 1,500 managed test runs with email support.

How many automated test runs has Bugzy AI completed at GoodShape?

Bugzy AI has completed over 1,000 automated test runs at GoodShape, demonstrating its capacity to handle extensive testing needs.

How does Bugzy AI deliver findings of the testing process?

Bugzy AI delivers testing findings directly to either Slack, Linear, or Jira teams. The findings include screenshots, reproducible steps, and root cause analysis that offers an in-depth understanding of any identified issues.

How can Bugzy AI assist in Debugging?

Bugzy AI assists in debugging by triaging failures in your existing tests, identifying whether the issue is a product bug, a test issue, or flakiness. By debugging and auto-fixing broken tests, Bugzy maintains the efficacy of your testing process.

Does Bugzy AI offer any features for auto fixing of broken tests?

Yes, Bugzy AI offers an auto-fix feature for broken tests in your repository. With this feature, Bugzy not only spots issues but also contributes actively to their resolution, reducing the burden on your team.

How efficient is Bugzy AI in maximizing test efficiency?

Bugzy AI maximizes test efficiency by working in tandem with any pre-existing tests, handling triage, debugging, and auto-fixing potential issues. These features ensure test runs go smoothly, providing a platform for maximum efficiency and minimal interruptions.

In what ways is Bugzy AI adaptable to UI changes?

Bugzy AI adapts to UI changes by generating tests that adjust themselves automatically when there are alterations in the UI. This self-healing feature prevents tests from becoming obsolete due to UI changes.

Does Bugzy AI support Jira integration?

Yes, Bugzy AI supports Jira integration. This integration is part of Bugzy's multi-platform compatibility, offering users the flexibility to choose a toolset that best suits their needs.

Does Bugzy AI offer a Quick Results feature?

Yes, Bugzy AI offers a Quick Results feature. It is designed to provide the results of the automated testing process within approximately 30 minutes, ensuring your team can act swiftly on the findings.

How does Bugzy AI handle reproducible steps?

Bugzy AI handles reproducible steps by providing a clear, step-by-step breakdown in its findings report. These steps help to accurately reproduce the issue, giving you a clear path to understanding and addressing the discovered defects.

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