Progress, Potential, and Possibilities Podcast / Show
Interviews and Discussions With Fascinating People Who are Creating A Better Tomorrow For All Of Us - Host - Ira S. Pastor
Progress, Potential, and Possibilities Podcast / Show
AI Coding Assistants Gone Rogue? Pramin Pradeep - Co-Founder and CEO of BotGauge - Shadow Code & Software Risk
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For most of the history of computing, software systems were written by humans and—at least in theory—understood by humans.
But with AI coding assistants now embedded in everyday development workflows, we may be entering an era where large portions of production software are generated, modified, and extended by machines.
Pramin Pradeep is the Co-Founder and CEO of BotGauge ( https://www.botgauge.com/ ), an autonomous “QA-as-a-Solution“ company focused on using AI to improve software testing and observability in modern development environments.
Pramin’s background sits at the intersection of AI-driven development and quality assurance. Prior to founding BotGauge, he held product leadership roles at Sauce Labs, one of the leading platforms for automated testing and continuous quality in enterprise software. Earlier in his career he was a founding product leader at AutonomIQ, an AI-based low-code testing platform that was later acquired by Sauce Labs.
Across these roles, Pramin has focused on a central challenge in modern software engineering: as development accelerates through automation and AI coding assistants like GitHub Copilot, Claude, and Gemini, organizations are increasingly deploying code that no single engineer fully understands.
Pramin's work explores how this emerging layer of AI-generated logic—what some are calling “shadow code”—may introduce new security risks, operational blind spots, and governance challenges inside complex software systems.
Today we’ll talk about what happens when software systems start evolving faster than our ability to fully comprehend them.
#AI #AICoding #ShadowCode #BotGauge #SoftwareSecurity #Cybersecurity #EnterpriseSoftware #AIgeneratedCode #RuntimeObservability #SoftwareTesting #CriticalInfrastructure #TechnicalDebt #AIrisks #TechLeadership #Innovation
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