Best AI Testing Tools - Page 4

Traditional software testing assumes a predictable system. AI systems are unpredictable, uncertain, and unreliable, which creates risk for AI products. To mitigate this risk, we are building a proactive AI testing and evaluation platform to make AI safe, robust, and reliable. Trust your AI before you ship it and continuously thereafter. We are quickly iterating to design the most complete enterprise AI testing platform and would love your feedback. Sign up for the opportunity to try early versions and guide our product direction. We are a passionate team deeply focused on solving the AI testing problem at the enterprise scale. We draw inspiration from our insightful customers, partners, advisors, and investors. As the capacity of AI across enterprise tasks grows, so does its potential risk to these businesses and their customers. Every day there is a new report of AI bias, instability, failure, error or other issues.

We create a comprehensive memory of your web app and the interactions we engage in. Our QA testing agent identifies actions and objectives. Configure the tests with your own user credentials and data. Multiple personas monitoring the agent create defects varying in severity. Our AI agent reasons and takes steps to achieve test objectives. Automatic comments on your pull requests with actionable feedback. Generates developer-friendly bug reports, including console logs, network requests, and more. Testing takes time from building new features and even minor app changes that require updating the test code. Production bugs can cause strain on support, interrupt developers and even lead to customer loss. Manual testing is costly and results in slow feedback cycles, which can potentially delay releases.

​CoTester is the world's first AI agent for software testing, designed to transform the landscape of software quality assurance. It can detect bugs and performance issues both before and after deployment, assign those bugs to the team, and ensure they are resolved. CoTester is onboardable, taskable, and trainable to carry out day-to-day tasks like a human software tester, seamlessly integrating into existing workflows. It is pre-trained on advanced software testing fundamentals and the Software Development Life Cycle (SDLC), enabling it to assist quality assurance professionals in writing, debugging, and executing test cases up to 50% faster. CoTester possesses conversational flexibility, allowing it to understand and respond to complex testing scenarios, and it builds high-quality context to adapt to specific project requirements. Its easy knowledge base integration ensures that it can access and utilize existing project documentation effectively.

CodeBeaver writes and updates your unit tests. Not only that! It highlights bugs in your Pull Requests by running tests and checking out your code. It works natively with GitHub, GitLab and Bitbucket. The onboarding takes 2 clicks! We currently help 30k GitHub stars and counting.

Docket is an AI-powered test automation platform that uses vision-based browser agents, instead of brittle DOM selectors, to autonomously test ANY web interface. By combining visual understanding with natural language commands, Docket can automate even the most complex UIs - from dashboards to video editors to canvas elements.