Refactoring Podcast

Verfügbare Folgen

5 von 53

How to Build Product Development Teams 🛠️ — with Rob Zuber
Today's guest is Rob Zuber, CTO of CircleCI!With Rob, we talked about software delivery, the impact of AI, and how to build great product engineering teams. And next, we discuss trade-offs between standardization versus flexibility in software organizations, and lessons learned from our respective past mistakes.(00:00) Preview(01:22) Introduction(03:33) Industry Changes and AI's Impact on Development(08:59) The Bell Curve of Metrics and Team Performance(12:09) From Engineering Metrics to Business Outcomes(14:31) Building Effective Small Teams(25:35) Experience vs. Curiosity(37:18) Scaling Challenges and Technology Decisions(49:26) Organizational Standards and Leadership Philosophy—This episode is brought to you by Codacy! Codacy helps developers save time in code reviews, so developers can focus on other things.Start your free trial and get 20% off your first 3 months at codacy.com/refactoring—You can also find this at:• 📬 Newsletter: https://refactoring.fm• 🎧 Spotify: https://open.spotify.com/show/7Luds9dmzZDoDC8Q7EMbSw• 📱 Apple: https://podcasts.apple.com/us/podcast/refactoring-podcast/id1719137305—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
--------
1:09:12
--------
1:09:12
From Knowledge to Wisdom 🧠 — with Hywel Carver
Today's guest is Hywel Carver! Hywel is co-founder and CEO of Skiller Whale, which provides live team coaching for software engineering teams. With Hywel, we got deep into what makes traditional developer training awful, what engineers truly learn and what they should learn. Then we explored how to measure the impact of learning and how AI may possibly change both how learning works and our own skills.(00:00) Preview(01:15) Introduction(02:22) Hywel's journey in tech(06:20) Spreading good learning(07:55) Training as a compliance(09:34) The effectiveness of learning(12:42) Training with an expert(18:02) Knowledge, Skill and Wisdom(24:16) How Skiller Whale works?(30:26) The outcomes(34:53) Finding the proper learning method(40:12) Measuring learning value(46:54) AI, humans and code bases—You can also find this at:• 📬 Newsletter: https://refactoring.fm• 🎧 Spotify: https://open.spotify.com/show/7Luds9dmzZDoDC8Q7EMbSw• 📱 Apple: https://podcasts.apple.com/us/podcast/refactoring-podcast/id1719137305—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
--------
58:32
--------
58:32
The AI Transformation at Intercom 🤖 — with Darragh Curran
Today's guest is Darragh Curran! Darragh is the CTO of Intercom, which is one of the world's leading customer service products with more than 600 million users.With Darragh, we talked about how AI poses at the same time an existential risk and an incredible opportunity for Intercom, and how this led them to the decision of creating a completely separate product and deflect most team resources to it. Then we discussed how AI is being adopted inside Intercom itself to achieve Darragh's ambitious goal of doubling the team's productivity.And finally, we explored Darragh's own role as CTO and what he believes he needs to get right to make all of this happen. (00:00) Preview(01:31) Introduction(02:19) How Intercom changed with AI(07:02) Intercom and Fin(11:37) AI productivity gains(16:36) Measuring productivity increase(25:06) Experience and AI(31:02) AI in large and legacy systems(32:47) The CTO role in an AI framework(38:56) Good for human = Good for AI(42:03) Improving AI models: Fin's case(45:03) How Fin improved so fast(49:08) One big challenge—You can also find this at:• 📬 Newsletter: https://refactoring.fm• 🎧 Spotify: https://open.spotify.com/show/7Luds9dmzZDoDC8Q7EMbSw• 📱 Apple: https://podcasts.apple.com/us/podcast/refactoring-podcast/id1719137305—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
--------
55:27
--------
55:27
Building Psychologically Safe Teams 🛡️ — with Meg Adams
Today's guest is Meg Adams!Meg is Senior Director of Engineering for the New York Times. With Meg, we talked about her fantastic journey in tech, from management in sales and retail, to learning software development from scratch, to management again, but this time in technology. And then we especially talked about Neuro Leadership, what it is, how you can apply it in practice in your team processes, and how things are different for ICs versus managers, and how you scale all of this to your whole organization.(01:22) Introduction(01:38) Meg's journey in tech(06:03) Managing skills in individual contribution(09:32) What is Neuroleadership?(11:06) Neuroleadership in tech(14:12) The SCARF model(21:18) Applying the SCARF(27:29) Designing good communication(30:42) Psychological safety(35:10) Identifying a threat(38:28) Making SCARF model part of a culture(41:27) A good example: Meg's time at Etsy—This episode is brought to you by Augment Code! Augment Code is the only AI engineering platform built for real engineering teams.Learn more at augmentcode.com!—You can also find this at:• 📬 Newsletter: https://refactoring.fm• 🎧 Spotify: https://open.spotify.com/show/7Luds9dmzZDoDC8Q7EMbSw• 📱 Apple: https://podcasts.apple.com/us/podcast/refactoring-podcast/id1719137305—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
--------
49:07
--------
49:07
Navigating AI Development Workflows 🛠 — with Birgitta Böckeler
Today's guest is Birgitta Böckeler!Birgitta is is a distinguished engineer and global lead for AI-assisted software delivery at ThoughtWorks. Her full-time work is to figure out how engineering teams can make the most out of AI.With Birgitta, we talked about her favorite workflows, how she uses AI in the IDE, in the terminal or in a genetic mode. We discussed AI impact on productivity and what the best teams are getting right, which others are not. And finally, we talked about how AI impacts both junior and senior engineers and how we can get the best out of both skeptics and optimists.(01:27) Introduction(04:58) A day in the work of data(11:04) Large and smalls change sets(15:57) The strength of Cloud Code(18:35) Using AI tools in ThoughtWorks(21:41) Figuring AI productive value(27:24) Getting the most out of AI(30:10) AI assistance in large code bases(32:21) Good for humans = Good for AI(39:10) AI and documentation(41:49) Software engineer role in AI landscape(48:24) Junior engineers and learning—This episode is brought to you by Augment Code! Augment Code is the only AI engineering platform built for real engineering teams.Learn more at augmentcode.com!—You can also find this at:• 📬 Newsletter: https://refactoring.fm• 🎧 Spotify: https://open.spotify.com/show/7Luds9dmzZDoDC8Q7EMbSw• 📱 Apple: https://podcasts.apple.com/us/podcast/refactoring-podcast/id1719137305—For inquiries about sponsoring the podcast, or appearing as a guest, email: [email protected]
--------
50:21
--------
50:21