InfoQ Homepage Agile Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Achieving Seamless Integration through User Co-Design
Savannah Kunovsky and Jenna Fizel, co-managing directors of IDEO’s Emerging Technology division, talk about the future of technology in general and how we can work with our users to build the most impactful product. They explore prototyping and co-design techniques, as well as how generative AI can help with rapid prototyping.
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Building the Middle Tier and Doing Software Migrations: a Conversation with Rashmi Venugopal
In this podcast, Michael Stiefel spoke with Rashmi Venugopal about two topics. The first is how the middle-tier creates the application from the raw materials in the back-end, and how the front-end uses the middle-tier to present a meaningful workflow to the user. The second is how to manage the usually inevitable software migration that results from a successful software product.
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Designing for Knowledge Flow with Diana Montalion
In this episode, Thomas Betts speaks with Diana Montalion about how architecture is designing for knowledge flow. The conversation covers the differences between knowledge stock and knowledge flow and the importance of a growth mindset. If you’re trying to find new ways to solve problems, you have to start by thinking in new ways.
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How to Improve the Quality of the Gen AI-Generated Code and Your Team’s Dynamics
Birgitta Böckeler, Thoughtworks’ subject matter expert on Generative AI coding assistants, discusses how to enhance generated code by incorporating additional information into its context, and how your team’s dynamics will evolve with the adoption of these tools.
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InfoQ Architecture and Design Trends in 2025
The panel discussion in this episode is one half of the annual InfoQ Architecture and Design Trends Report. The other half is the written report . One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers with a high-level overview of the topics to pay attention to this year.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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The Myth of 100% Utilization: The Neuroscience of Productive Teams
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Shannon Mason about optimizing team productivity by understanding the neuroscience behind cognitive load, distinguishing between beneficial "slack time" and detrimental "idle time", and how the pursuit of maximum utilization that leads to burnout and poor decision-making.
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Why Software Development Sucks And 7 Mental Models To Help Fix It
Shane Hastie, Lead Editor for Culture & Methods, spoke to Thanos Diacakis about how teams often struggle with software delivery. He proposes a shift in mental models and a four-step framework to systematically improve software development by focusing on bottlenecks, balancing different types of work beyond just feature delivery, and investing 20-30% of effort in improving how the team works.
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The Evolution of Code Review: From Bug-Finding to Team Building
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Greg Foster about the evolution and purpose of code reviews, building teams with kindness, expertise, and urgency, and how AI tools are changing software development.
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Building a Resilient and Inclusive Engineering Culture with Matthew Card
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Matthew Card about his resilience framework (CAPSS - Confidence, Adaptability, Purpose, Social Support) which has helped him overcome career challenges and now guides him in building inclusive engineering cultures by empowering teams and breaking echo chambers.
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Finding Your Engineering Bottleneck: The Hierarchy of Engineering Needs
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Myles Henaghan about the open-sourced "Hierarchy of Engineering Needs" - a systematic framework inspired by Maslow's hierarchy that helps engineering leaders identify and prioritize the most impactful constraints limiting their software delivery systems among competing improvement initiatives.
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