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From Code to Strategy: Drive Organizational Impact Through Strategic Conversations and User Focus
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Mark Allen about how engineers can expand their influence through strategic conversations, user-focused development practices, and excellence in incident management. Mark emphasizes the importance of building cross-organizational relationships and working on meaningful problems with positive impact.
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Productivity Through Play: Why Messing Around Makes Better Software Engineers
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Holly Cummins about productivity in creative knowledge work like software engineering. She talks about how "messing around and having fun" actually enhances problem-solving, while exploring the shift from coding to code management with AI tools and the importance of managing cognitive load in modern development practices.
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Technology Radar and the Reality of AI in Software Development
Shane Hastie, Lead Editor for Culture & Methods spoke to Rachel Laycock, Global CTO of Thoughtworks, about how the company's Technology Radar process captures technology trends around the globe. She is sceptical of the current AI efficiency hype, emphasizing that real value of generative AI tools lies in solving complex problems like legacy code comprehension rather than just writing code faster.
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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.