With AI agent taking over web and automation, testing field is no exception. AI testing agents are autonomous or semi-autonomous software programs that use machine learning, NLP, and generative AI to automate software testing. Having learning and self-healing ability helps in generating test strategies, identifying defects, and self-healing scripts leading to faster and more efficient quality assurance with less manual effort.

Here’s the example of AI testing agents tools:

1. KaneAI

Best for: To generate end-to-end test flow with natural language across web and mobile.

[Kane AI]

Description: KaneAI (by LambdaTest) is a GenAI‑native testing agent that allows you to plan, author and evolve tests via plain language instructions. They can handle UI, API, database and accessibility testing within one unified flow. Best part is they supports multi‑language code export, CI/CD pipeline integrations and reduce test maintenance to enhance speed.

Features:

• Plain language/Natural language support for test
• Multi-layer testing support
• Automated debugging and self-healing of scripts
• Multi language code export with framework support (Selenium, Playwright, Appium)
• Extensive device coverage

Platform recommendations: Small teams/Start-ups to speed up test coverage without heavy scripting overhead.

Pricing: Live $15/month, Real Device $25/month (billed annually), and enterprise‑custom pricing

Website: https://www.lambdatest.com/kane-ai

2. TestRigor

Best for:  Low-code automation in plain english

[TestRigor]

Description: TestRigor offers GenAI powered test automation written in plain english language rather than code, and thus reducing the need for scripting skills. They supports web, mobile, API, desktop, email/SMS/2FA flows and can be integrated with CI/CD and other  management tools. They aim to increase coverage and reduce maintenance overhead.

Features: