An AI-driven system that can autonomously carry out steps in a software testing workflow, such as running test cases, generating automation scripts, reporting results, or triaging bugs, typically via an orchestration layer that coordinates tools like Playwright, Jira, or a CI pipeline. Unlike a simple AI assistant that responds to prompts, an agent can take sequential actions, observe results, and adapt its behaviour across multiple steps without continuous human instruction. Human oversight at key stage gates remains essential to validate the outputs the agent produces.
AI test agent
See how Lynqa runs your existing tests as written, captures step-by-step evidence, without code or no-code.
Explore MoT
Tue, 19 Jan 2027
Register today to guarantee your spot!
Advanced prompting skills to turn AI into your trusted testing companion.
Debrief the week in Quality via a community radio show hosted by Simon Tomes and members of the community