How to Prove Your Release Is Ready When AI Writes the Code
with Ashwin Kondapalli
Key takeaways
What you'll learn in this episode
How AI generated tests stay tied to user stories and acceptance criteria, with full requirement to evidence traceability
Reviewing and approving AI generated tests so you’re not just getting happy path coverage
Bringing existing Selenium, Playwright, Cucumber, and Karate tests into a framework agnostic platform
Running tests on built in runners or providers like Sauce Labs, BrowserStack, and LambdaTest
Using an AI assistant to answer “are we release ready?” and surface the top risks blocking a release
About this episode
How to Prove Your Release Is Ready When AI Writes the Code? Can you prove your software is ready to ship, or does that answer still depend on a meeting and a spreadsheet?
Want to see if your team can prove a release is ready? Book a custom LoopIQ demo with Ashwin: https://testgld.link/loopiqdemo
In this episode, Joe Colantonio sits down with Ashwin Kondapalli, co-founder and CTO of LoopIQ, to talk about why more tools and more automation haven’t made release decisions any easier, and what to do about it.
Ashwin shares how LoopIQ connects requirements, tests, security findings, and approvals into a single evidence trail, so compliance becomes a byproduct of the work instead of a last minute scramble. You’ll see how release certification ties test runs, scans, code coverage, and organizational policies to a specific release, giving teams in regulated industries like fintech, insurance, and healthcare an audit ready record without the manual hours.
Whether you’re a QA leader defending a release to leadership or an automation engineer trying to trust AI generated code, this episode gives you a practical look at evidence based release readiness.
Try LoopIQ for yourself with a free trial now: https://testgld.link/tryloopiq
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