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Description

Bytesalt is an AI-native QA teammate designed to help software teams accelerate testing by using autonomous agents to explore applications in parallel. Instead of requiring teams to write every test case manually, the platform lets users describe a feature, flow, API, or application area in natural language. Bytesalt then fans out the job across multiple AI agents that simulate real users, inspect behavior, identify issues, and produce clear reports with evidence and remediation guidance. The platform can perform UI and UX audits, regression testing, API validation, accessibility reviews, cross-browser checks, mobile testing, and autonomous security analysis for common vulnerabilities. It is designed to work alongside deterministic test suites such as Playwright, Cypress, and Selenium, filling coverage gaps where scripted tests are less effective. Developers can use Bytesalt through a CLI, connect it to CI/CD workflows, and run tests against modern web apps, backend APIs, distributed systems, localhost, or private staging environments. Its elastic scaling model allows testing tasks to be divided across workers so larger applications can be evaluated quickly. Reports are written in plain language and include issue descriptions, likely causes, business impact, and recommended fixes. Bytesalt gives engineering teams a practical way to expand QA coverage, discover unknown problems, and reduce the time required to validate software quality.

Description

qarunbook serves as a dedicated workspace for conducting manual and acceptance testing, which ultimately determines the fate of software releases. You can create a test plan from scratch, import an existing one in formats like Markdown, CSV, or Excel, or utilize our complimentary AI agent to generate a plan tailored to your needs; each test case includes essential preconditions, step-by-step actions, and expected outcomes. Testers are required to document a pass or fail status across all platforms where the software is deployed, including web, Android, and iOS, and any issues uncovered during testing are logged directly on the relevant checks. When a problem is identified and subsequently marked as fixed, the check will indicate "retest" instead of "passed," remaining in this state until a retest is performed to verify the resolution. Coding agents can connect through MCP using their unique member tokens, allowing them to access failure reports, log results, and resolve issues; every entry they make is recorded under a specified name. Clients can easily share their findings through a link, PDF, or spreadsheet format, ensuring smooth communication. Additionally, our pricing model is structured to be flat per workspace rather than per user seat, and the free plan is accessible without requiring any payment information. This streamlined approach not only enhances collaboration but also simplifies the testing process across various teams.