Noida/ San Francisco, Feb. 17, 2026 (GLOBE NEWSWIRE) — TestMu AI (Formerly LambdaTest), the world’s first full-stack Agentic AI Quality Engineering platform, today announced the launch of two major enhancements to its AI Test Case Generator, the Conversation Layer and Memory Layer, designed to make AI-driven test case generation more iterative, context-aware, and aligned with enterprise testing standards.
AI-generated test cases have significantly accelerated software testing workflows, but refining outputs often requires manual edits or restarting the generation process. TestMu AI’s latest release addresses this challenge by enabling quality engineering teams to update, expand, and optimize test scenarios using natural language while maintaining consistency across projects.
The new Conversation Layer allows users to refine AI-generated test cases through plain-English instructions, eliminating the need for manual restructuring or regeneration. Teams can expand scenarios, add edge cases, or modify test flows in real time, with AI streaming updates instantly. The feature also supports @ references to target specific test cases, retains full session context, and allows users to upload updated requirements during the refinement process.
Complementing this capability, the Memory Layer introduces context-aware test generation by learning from existing test suites and applying predefined project and organizational instructions. The system automatically retrieves relevant test cases, understands naming conventions and structures, and ensures that new outputs follow established testing standards. Teams can define custom instructions at both project and organization levels, enabling consistent formatting, coverage priorities, and testing workflows across all generations.
“AI shouldn’t just generate tests quickly; it should adapt, learn, and improve with every interaction,” said Asad Khan, CEO and Co-Founder of TestMu AI (Formerly LambdaTest). “With the introduction of Conversation and Memory Layers in TestMu AI, we’re moving from one-time AI generation to truly iterative, context-aware quality engineering that mirrors how modern teams actually build and test software.”
Together, these enhancements enable faster iteration cycles, improve test quality, and ensure greater consistency across software testing processes. By learning from existing work and adapting to user feedback, the AI Test Case Generator continuously improves over time, helping teams accelerate release cycles and maintain high software reliability.
About TestMu AI
TestMu AI (Formerly LambdaTest) is a Full-Stack Agentic AI Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality. AI-native by design, the platform enables testing of web, mobile, and enterprise applications at any scale across real devices, real browsers, and custom real-world environments.
