Bugasura is an AI-powered bug tracker developed for modern technology teams to streamline the reporting, tracking, and closing of bugs. It is designed as an efficient alternative to project management tools like JIRA and Google Sheets that do not cater to the specific needs of bug tracking and development. The tool is focused on enhancing team productivity and helping teams close bugs faster by using generative AI to report similar bugs and provide clutter-free visual detailed bug reports. The tool provides essential features like a savings meter that tracks productivity, reduced tech debt, and reduced costs. Also, it has several resources available, including its blog, release notes, and privacy and security policy. In summary, Bugasura provides an AI-powered issue tracker that simplifies the bug tracking process, enhances team collaboration, and streamlines workflows to help teams ship quality technology faster.
Context-Driven Testing: Ingests requirements, user stories, and defect history to build a knowledge base that informs test decisions.
Expert-in-the-Loop: Combines AI capabilities with human expertise, allowing senior QA leads to approve test plans before execution.
Risk-Based Coverage: Prioritizes test coverage based on business impact and user journeys, ensuring critical areas are tested first.
Asura Agents: Specialized testing agents (Browser, API, Mobile, Duplicate) that execute tests autonomously using platform context.
Eagle Eye Visibility: Provides strategic insights into quality risk, development velocity, and requirement traceability for informed decision-making.
Context-Driven Testing: Ingests requirements, user stories, and defect history to build a knowledge base that informs test decisions, ensuring relevance to user needs.
Expert-in-the-Loop Model: Combines AI capabilities with human expertise, allowing senior QA leads to review and approve test plans before execution, enhancing quality assurance.
Risk-Based Coverage: Maps coverage priorities based on business impact and historical defect patterns, ensuring that testing focuses on the most critical areas.
Automated Test Execution: Utilizes specialized agents (Asuras) to autonomously execute tests across web, API, and mobile platforms, streamlining the testing process.
Strategic Quality Visibility: Provides engineering and product leaders with insights into quality risks, coverage trends, and defect impacts, facilitating informed release decisions.
Context-Driven Testing: Bugasura builds a knowledge base from requirements, user stories, and defect history, ensuring that test decisions are informed by what matters to users.
Expert-in-the-Loop: The platform combines AI capabilities with human expertise, allowing senior QA leads to review and approve test plans, enhancing quality assurance without sacrificing speed.
Risk-Based Coverage: Testpert prioritizes coverage based on business impact and user journeys, ensuring that testing focuses on the most critical areas rather than just achieving high line coverage.
Continuous Learning: The platform compounds intelligence over time, improving its understanding of product risk and defect patterns with each sprint, leading to progressively better quality assurance.
Integrated Quality Visibility: Eagle Eye provides strategic insights into quality risks and coverage trends, enabling informed decision-making for engineering and product leaders before releases.
Free Plan: Available for small teams with no cost.
Custom / Enterprise Plan: Tailored pricing based on specific organizational needs.
Testpert Add-on: Available as an additional feature, pricing details not specified.
Contact for Pricing: Interested users are encouraged to talk to the team for more information on pricing options.
