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In this episode of Dynamics Corner, Kris and Brad talk with Matt Traxinger, Development Leader, Archer Point, who manages over 50 developers, and Tonya Bricco-Meske, also known as the “BC Cat Lady.” Their conversation doesn’t fit into any usual conference track, and that’s the point. They discuss what it’s really like to run a large development team when AI tools keep changing, credits cost real money, and there’s no playbook to follow. Matt shares a key idea: instead of trying to work faster, focus on getting more done in the same amount of time. Tanya explains how this works in practice. Her team is finally able to tackle tasks they never had time for before, such as tests, performance benchmarks, and edge cases. They’re also figuring out who should get access to the expensive models and who used up their credits too quickly. Matt describes his design workflow, which got some strong reactions. How do you estimate a project when AI might finish it in minutes, but the credits could cost more than the billable hours? How do you keep standards consistent across a hundred developers, especially when half aren’t even on your team? And the big question: are these models already learning from content made by earlier models?
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Support the show
#MSDyn365BC #BusinessCentral #BC #DynamicsCorner
Follow Kris and Brad for more content:
https://matalino.io/bio
https://bprendergast.bio.link/
By Brad and Kris5
66 ratings
In this episode of Dynamics Corner, Kris and Brad talk with Matt Traxinger, Development Leader, Archer Point, who manages over 50 developers, and Tonya Bricco-Meske, also known as the “BC Cat Lady.” Their conversation doesn’t fit into any usual conference track, and that’s the point. They discuss what it’s really like to run a large development team when AI tools keep changing, credits cost real money, and there’s no playbook to follow. Matt shares a key idea: instead of trying to work faster, focus on getting more done in the same amount of time. Tanya explains how this works in practice. Her team is finally able to tackle tasks they never had time for before, such as tests, performance benchmarks, and edge cases. They’re also figuring out who should get access to the expensive models and who used up their credits too quickly. Matt describes his design workflow, which got some strong reactions. How do you estimate a project when AI might finish it in minutes, but the credits could cost more than the billable hours? How do you keep standards consistent across a hundred developers, especially when half aren’t even on your team? And the big question: are these models already learning from content made by earlier models?
Send us Fan Mail
Support the show
#MSDyn365BC #BusinessCentral #BC #DynamicsCorner
Follow Kris and Brad for more content:
https://matalino.io/bio
https://bprendergast.bio.link/