weber.st.michael
New member
I’ve been tracking the evolution of QA workflows, and the biggest shift this year is definitely the move toward autonomous execution.
The practical application of generative ai in software testing (https://testomat.io/blog/generative-ai-in-software-testing/) is finally making "self-healing" tests a reality rather than a marketing buzzword. We are seeing up to 80% reduction in manual maintenance when these models are integrated directly into the CI/CD pipeline.
For those auditing their stack right now, I highly recommend looking into dedicated generative ai for software testing (https://testomat.io/tag/ai-testing/) solutions that support multi-framework orchestration (Playwright, Cypress, etc.).
Are you guys already using LLMs to generate your test cases, or are you still relying on manual script writing? Curious to hear your thoughts on the accuracy of AI-generated suites.
The practical application of generative ai in software testing (https://testomat.io/blog/generative-ai-in-software-testing/) is finally making "self-healing" tests a reality rather than a marketing buzzword. We are seeing up to 80% reduction in manual maintenance when these models are integrated directly into the CI/CD pipeline.
For those auditing their stack right now, I highly recommend looking into dedicated generative ai for software testing (https://testomat.io/tag/ai-testing/) solutions that support multi-framework orchestration (Playwright, Cypress, etc.).
Are you guys already using LLMs to generate your test cases, or are you still relying on manual script writing? Curious to hear your thoughts on the accuracy of AI-generated suites.