In this episode, Brian Milner and Lance Dacy dive into the evolving world of software development, exploring how AI and automation are reshaping the landscape. They discuss the essential skills developers need in this new era, from embracing AI as a tool to mastering emotional intelligence and continuous learning.

Overview

Brian and Lance discuss the transformative impact AI and automation are having on the software industry. They explore the importance of adaptability, continuous learning, and cross-functional expertise, emphasizing how developers can thrive by embracing AI as a tool rather than a threat.

The conversation highlights the growing need for soft skills like emotional intelligence, curiosity, and collaborative leadership, and encourages developers to be open to new technologies and ways of working to stay competitive in the ever-evolving tech landscape.

References and resources mentioned in the show:

Lance Dacy

Big Agile

“Be curious, not judgemental” – Walt Whitman

#54: Unlocking Agile’s Power in the World of Data Science with Lance Dacy

#63: The Interplay Between Data Science and Agile with Lance Dacy

#82: The Intersection of AI and Agile with Emilia Breton

#99: AI & Agile Learning with Hunter Hillegas

Accurate Agile Planning

Mountain Goat Software Certified Scrum and Agile Training Schedule

Certified ScrumMaster® Training and Scrum Certification

Certified Scrum Product Owner® Training

Advanced Certified Scrum Product Owner®

Advanced Certified ScrumMaster®

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This episode’s presenters are:

Brian Milner is SVP of coaching and training at Mountain Goat Software. He's passionate about making a difference in people's day-to-day work, influenced by his own experience of transitioning to Scrum and seeing improvements in work/life balance, honesty, respect, and the quality of work.

Lance Dacy is a Certified Scrum Trainer®, Certified Scrum Professional®, Certified ScrumMaster®, and Certified Scrum Product Owner®. Lance brings a great personality and servant's heart to his workshops. He loves seeing people walk away with tangible and practical things they can do with their teams straight away.

Auto-generated Transcript:

Brian (00:00 )

Welcome in Agile Mentors. How's your week going? I hope everyone's week is going well. Yeah, I'm switching things up. I'm not saying things exactly as I did the past 100 episodes. But welcome in. I hope you guys are having a great week. We are back with you here at the Agile Mentors Podcast. And I have one of our favorites back with us. I have one of our repeat visitors, Lance Dacys with us. Welcome back, Lance.

Lance Dacy (00:28 )

Thank you, Brian. Great to be here.

Brian (00:30 )

Always excited to have Lance with us because we always have such great conversations. And I wanted to have Lance back because we were talking about something recently that I think might be a good topic for us, might be on a lot of people's minds. And that is really kind of getting into this, what we've loosely termed the new age of development. With the new tools and new kind of the way that AI has worked its way into things and automation. How is this going to change and affect our teams? How is it going to change and affect how we develop? How is it going to change and affect the software industry? Lance, I know you had some thoughts on this. I'm going to just open the floor for you and let you take it from there.

Lance Dacy (01:15 )

That's great, Brian. My heart is always with organizations and developers, just trying to help people get better. You and I shared that vision that I remember a long time ago, even at DFW Scrum, one of our vision statements was just trying to help you to do better today than you did yesterday. It's like, what are the things that we can help teams and organizations? And something's real heavy on my mind lately as I work with these teams. You know, we have these notions out there like Agile is dead and, you know, where is Agile headed? And that's not really what this is about here because I think what's happening, as a lot of people have already said, it's just become more of the mainstream. Let's quit labeling it. You know, like Mike always tells us, object -oriented programming won. We don't really call it that anymore. Objects won and off we went. So I'm not really focused so much on the agile type scenario, but we do work in Scrum and agile teams and I see plenty of organizations that need help with that. And I still encounter to this day, developers who are lagging behind on their skills, right? We get so focused in the day -to -day feature development of our roadmap and things like that. that I just fear that developers aren't setting enough time aside or not challenging the organization to help them do that, to learn new skills. And I started compiling this list of like, if I go in and start teaching teams how to do scrum and how to manage your backlog and how to do that, it doesn't matter if they don't have the skills because everything we talk about in Agile is based on reducing waste and the more of these skills gaps that we have. then I find the more handoffs and the more bottlenecks and you know that's one of the eight waste, you know, of lean. And so that's what I wanted to talk about today. And I love the topic like the new age of development. I'm not going to sit here in a spouse to claim to say, here's all the skills you're going to need. But as you and I work, I think we can find plenty of examples to help guide some of these people, even Scrum Masters that are coaching teams or agile coaches, you know, just kind of put some thoughts in their mind about. know, these skills and I have about a short list of five that I've seen growing and then thought we'd go from there.

Brian (03:30 )

That sounds great. I want to dive into one that I know is on your list and it's one we kind of talked about here beforehand, but that is kind of how AI is affecting teams and the skills needed to be relevant with that. Now, I want to preface this by just saying my own personal opinion here on this. I'm not a doom and gloom person when it comes to AI. don't really see it much different than...

Lance Dacy (03:34 )

Thank So, I'll see you.

Brian (03:59 )

how automation really changed things like testing. When automation entered the testing realm, we didn't lose all our testers. We still needed testing. It just was a tool that enhanced the way we did testing. And I think AI is sort of going to be that for how we program. don't think we're at a place where, or I don't know, things could change quickly, obviously, but I don't feel like we're within 10 years. of it completely replacing developers. I think we're still going to need to have expertise. We're still going to need to have that guidance. Maybe 10 years is too big of a window. don't know. Maybe five years? I don't know.

Lance Dacy (04:42 )

These days you don't know. I just thought yesterday something changed. No, I'm just kidding.

Brian (04:46 )

Right, right. But I don't see that happening in the near term window for sure, just because it does a lot of things well, but it doesn't create. It can do things based on what's already been done, but it can't really then go through and create something entirely new itself. So I think you still need human beings for that component of it.

Lance Dacy (05:04 )

Done.

Brian (05:15 )

And I think for developers, learning how to integrate that kind of tool set to help you reduce your errors, define bugs, AI is great at looking over a huge chunk of your code and finding potential issues that you can go back and look at. That can save you enormous amounts of time. So I think there's skill involved there for for the developers segment that I think is embracing it rather