AI won’t replace QA engineers. But QA engineers who use AI will redefine software quality.

In this episode of AI ThoughtMakers, Jennifer Renita, Lead Software Engineer in Test-3 at GeekyAnts, explores how enterprise QA is evolving from traditional testing to AI-powered quality engineering — and why speed without quality is still one of the biggest risks in software development.

From predictive testing and intelligent automation to production bugs, AI-generated code, and the future of manual testing, this conversation dives deep into what modern software quality really looks like in an AI-driven world.

Key highlights from the episode:
• Why digital transformation projects fail despite massive investments
• The shift from manual QA to predictive, AI-assisted testing
• Why a “quality mindset” matters more than tester count
• The hidden risks of blindly trusting AI-generated test cases
• How AI is transforming automation, testing strategies, and release cycles
• Why QA should begin at the design phase — not before release
• The future of QA engineers in an AI-first software industry

Whether you're a QA engineer, developer, engineering leader, or building AI-powered products, this episode is packed with practical insights on balancing speed, automation, and software quality at scale.

Connect with Jennifer Renita
LinkedIn - https://www.linkedin.com/in/jennifer-renita/

Hosted by Prem Prakash Goswami
LinkedIn - https://www.linkedin.com/in/premgoswami/