
AI-First Engineering Podcast
The AI-First Engineering Podcast features conversations with engineering and technology leaders about how artificial intelligence is transforming software delivery, quality, and the future of engineering. Each episode explores practical strategies, tools, and mindsets for adopting AI-first approaches. Listeners gain insights into real-world implementations and the evolving role of AI in modern engineering teams.
Episodes

What Happens to QA When AI Joins the Team?
What happens to QA when AI joins the team?In Episode 4 of AI-First Engineering, Paresh Bhutada, Global Partner Manager from TestGrid sits down with Maneesh Agarwal, Director QA at Forsys, to explore how AI is reshaping Quality Engineering, QA roles, and the way modern teams work.Maneesh is a quality engineering leader with extensive experience across manual testing, automation, and AI-driven testi

Will AI Make Great Engineers Even Better?
AI is no longer just helping engineers write code. It's reviewing pull requests, generating tests, documenting systems, and increasingly acting as a collaborative engineering teammate. But as AI takes on more of the software development lifecycle, one question becomes more important than ever:What will distinguish great engineers in an AI-first world?In Episode 3 of AI-First Engineering, Jon Robin

How Do You Test AI That Talks Back?
How do you test AI that doesn't always behave the same way?As AI-powered applications become more conversational and customer-facing, traditional software testing approaches are no longer enough. Engineering teams must now validate systems that generate non-deterministic responses, learn from interactions, and directly influence customer experiences.In the first episode of AI-First Engineering, De

The Human Side of AI-Driven Engineering
Everyone is talking about AI. But successful AI transformation is about more than technology. It's about people.In this episode of AI-First Engineering, host Jon Robinson is joined by Peter Thompson to explore the human side of AI-driven engineering.As AI becomes embedded across the software development lifecycle, engineering leaders face new challenges that go beyond tools and automation. How do
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