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About this Podcast
Intended for architects and senior developers.
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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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Safely Changing Software to Avoid Incidents: a Conversation with Justin Sheehy
In this podcast, Michael Stiefel spoke with Justin Sheehy about how to safely put software into production without creating production incidents. Among the topics discussed were the futility of root cause analysis, and the importance of having a shared language for discussing incidents. This discussion included the need for software to be malleable as well as observable.
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Observability in Java with Micrometer - a Conversation with Marcin Grzejszczak
Marcin Grzejszczak, a veteran of observability spaces, discusses the current state of the space, including its evolution and the fine-grained details of how to instrument your system to capture all relevant information at every level - both inside services and between services communication.
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Why Rust Will Help You Deliver Better Low-latency Systems and Happier Developers
Andrew Lamb, a veteran of database engine development, shares his thoughts on why Rust is the right tool for developing low-latency systems, not only from the perspective of the code’s performance, but also looking at productivity and developer joy. He discusses the overall experience of adopting Rust after a decade of programming in C/C++.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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Using AI Code Generation to Migrate 20000 Tests
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Sergii Gorbachov, a staff engineer at Slack, about how they successfully used AI combined with traditional coding approaches to migrate 20,000 tests in 10 months, discovering that AI alone was insufficient and required human oversight and conventional tools to work effectively.
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Emerson Murphy-Hill on Engineering Productivity, Team Dynamics and Equity
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Emerson Murphy-Hill about how measuring developer productivity is tricky, why team dynamics and psychological safety matter more than things like meeting load, the impact of systemic bias and how new AI tools are shaping equity in engineering - sometimes helping, but sometimes risking new kinds of unfairness.
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Technical Leadership: Building Powerful Solutions with Simplicity and Inclusion
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Bhavani Vangala about creating powerful yet simple technology solutions, taking a balanced approach to AI tools, fostering inclusive team environments, and empowering women in tech leadership through focusing on strengths rather than societal constraints.
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InfoQ Culture & Methods Trends in 2025
This is the InfoQ Culture & Methods Trends Report for 2025. Featuring the InfoQ editorial team and special guest Charity Majors, they discuss how AI is transforming software development with dramatic productivity gains alongside quality concerns, emphasize the continued importance of team collaboration, observability, engineering metrics, and creating high-performing software teams.
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Achieving Sustainable Mental Peace in Software Engineering with Help from Generative AI
Shane Hastie spoke to John Gesimondo about how to leverage generative AI tools to support sustainable mental peace and productivity in the complex, interruption-prone world of software engineering by developing a practical framework that addresses emotional recovery, overcoming being stuck, structured planning and communication, maximizing flow, and fostering divergent thinking.
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