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Thoughtworks Technology Podcast

Unlearning, experimentation and engineering rigor in an agentic world

Thoughtworks Technology Podcast

Thoughtworks

Technology, Careers, Business

4.558 Ratings

🗓️ 5 February 2026

⏱️ 39 minutes

🧾️ Download transcript

Summary

In a world that's being transformed by AI agents and agentic systems, how do software developers unlearn what they know while also maintaining engineering rigor?

In an in-person conversation with Nathen Harvey, Developer Relations Engineer at Google Cloud, and Patrick Debois, Developer Relations at Tessl, host Ken Mugrage dives into the ways individuals, teams and organizations are walking the line between experimentation and well-established engineering practices as they seek to innovate while ensuring resilience, reliability and security.

Thoughtworks is a platinum sponsor of the 2025 DORA report: https://www.thoughtworks.com/en-us/insights/reports/the-2025-dora-report

 

Transcript

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0:00.0

Hello everybody, welcome to another edition of the ThoughtWorks Technology Podcast.

0:08.0

I'm one of your regular host, Ken McRage.

0:10.0

I'm very spoiled this week, happened to be in person with a couple folks I've known for many years.

0:15.0

So it's great to see you both.

0:17.0

I'll let them introduce themselves first, Nathan Harvey.

0:19.0

Hi there. Ken, good to see you. I'm Nathan Harvey. I lead Dora at Google Cloud. So you might

0:24.8

know of Dora. It's a research program that looks into how do teams, technology-driven teams,

0:28.9

get better.

0:29.9

And Patrick.

0:30.9

Yes, my name is Patrick, and I currently work at Tesla. And I'm usually known for my work

0:36.8

around DevOps. and I got really

0:38.3

excited about this whole Jenny-eye craze right now, and this is my day-to-day job.

0:44.2

So it's okay, Nathan, I'm going to start with you. So part of the Dora thing is more of the AI

0:48.6

focus this year. You talk about it not fixing broken teams, but amplifying what's already going on.

0:54.6

Can you expand a little more on that?

0:56.3

Yeah, one of the people in our community has described it as like, you know, you have like a high school band.

1:02.0

And when you hook up the band to the amplifier, maybe you didn't want to.

1:05.9

It just got louder.

1:07.2

It didn't get any better, just louder.

1:09.4

But then you get a, you you get a professional band and you hook

1:11.6

them up to an amplifier and that's great. You know, you can hear them better, richer sound and so

1:16.7

forth. And what we're seeing in our research is that that's kind of like how AI is working. In a team

...

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