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Mental Models in Architecture and Societal Views of Technology: a Conversation with Nimisha Asthagiri
In this podcast, Michael Stiefel spoke with Nimisha Asthagiri about the importance of system thinking, multi-agent systems, the consequences of society applying a technology into an area for which it was not designed, and whether we can ever have a healthy relationship with artificial intelligence.
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Elena Samuylova on Large Language Model (LLM)-Based Application Evaluation and LLM as a Judge
In this podcast, InfoQ spoke with Elena Samuylova from Evidently AI, on best practices in evaluating Large Language Model (LLM)-based applications. She also discussed the tools for evaluating, testing and monitoring applications powered by AI technologies.
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The Hidden Vulnerability of the Open Source Software Supply Chain: the Underlying Infrastructure
Software supply chain veteran Brian Fox unpacks the security implications of the new EU Cyber Resilience Act and its profound impact on open-source projects. He reveals the hidden infrastructure risks threatening open-source projects and shares insights for senior software leaders navigating this regulatory landscape.
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AI, ML, and Data Engineering InfoQ Trends Report 2025
In this episode, members of the InfoQ editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. 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 and listeners with a high-level overview of the topics to pay attention to this year.
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Scaling Systems, Companies, and Careers with Suhail Patel
In this episode, Suhail Patel joins Thomas Betts for a discussion about growing yourself as your company grows. When he started at Monzo, Patel was one of four engineers on the then new platform team–there are now over 100 people. The conversation covers how to thrive when the company and the systems you’re building are going through major growth.
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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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Engineering Leadership: Building Culture, Career Growth, and Ownership
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Thiago Ghisi about building engineering culture through leading by example, advancing careers by embracing "glue work" (non-technical but necessary tasks), taking full ownership of projects, and developing self-awareness to choose between technical and management career paths.
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Elisabeth Hendrickson on Systems Thinking for Quality Engineering
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Elisabeth Hendrickson about using systems thinking to understanding relationships between problem elements rather than focusing on individual parts, and how quality engineering practices become even more critical in the age of AI where tools can accelerate code production but humans need to remain in charge of verification.
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Team Building in the Brave New World: Transforming Software Engineering Culture and Leadership
In this podcast, Shane Hastie, spoke to Duncan Grazier about transforming software engineering teams into polymorphic cultures where humans work alongside AI agents, requiring leaders to rethink career paths, focus more on communication and coaching skills, and navigate the implications of how the gap between junior and senior engineers rapidly closes due to AI augmentation.
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Building Human-Centered Engineering Cultures with Leadership, Diversity, and Trust
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Tara Hernandez about the importance of building generative cultures with strong leadership development, psychological safety, diversity, and transparency over simply chasing new technologies. Technology should be a means to solve meaningful human problems rather than an end in itself.