Top AI tools for Quality Assurance Engineer

Evidently AI is a comprehensive AI observability platform that helps teams evaluate, test, and monitor LLM and ML models in production, offering data drift detection, quality assessment, and performance monitoring capabilities.

• Freemium
• From 50$

Tabnine is an AI-powered code assistant that helps development teams create higher quality software faster through personalized code generation, testing, and review capabilities with focus on privacy and security.

• Paid
• From 9$

ClickHelp is an AI-powered documentation platform that enables teams to author, host, and deliver technical content efficiently within a unified portal.

• Free Trial

Testiny is a comprehensive test management solution for organizing, tracking, and analyzing manual and automated software tests with streamlined integration options.

• Freemium
• From 15$

Errordeck offers AI-powered error monitoring and tracking for applications, providing clear insights, stack traces, and instant alerts to streamline issue resolution while ensuring data privacy.

• Usage Based
• From 8$

fsck.ai is an upcoming open-source AI-powered software development tool designed to enhance code reviews and accelerate development workflows, similar to GitHub Copilot but with the ability to run locally or remotely.

• Other

DataCebo SDV is an enterprise-grade synthetic data generation platform, founded at MIT, that enables organizations to create and manage their own generative AI applications for tabular data.

• Freemium

Travis CI empowers developers to automate building, testing, and deploying code with fast, easy-to-configure continuous integration and deployment pipelines. Streamline software delivery and enhance productivity with parallel builds and support for multiple programming languages.

• Usage Based
• From 13$