
The Most Important Skills Going Forward with CTO + Homebrew Maintainer Mike McQuaid
16 Jan 2026
The podcast explores a range of tech and personal productivity topics, including AI, open-source development, and time management.
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16 Jan 2026
The podcast explores a range of tech and personal productivity topics, including AI, open-source development, and time management.
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16 Jan 2026
The podcast explores how engineering culture and technology interact, emphasizing the importance of curiosity, adaptability, and continuous learning for organizational success and technological innovation.
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16 Jan 2026
Kubernetes is explored as a container orchestration system that automates deployment, scaling, and management of applications, with a focus on its core concepts, features, and best practices.
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Hanselminutes with Scott Hanselman
15 Jan 2026
Software engineering and personal development are being impacted by the increasing use of AI tools, but concerns arise about privacy, security, and transparency.
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No Priors - AI, Technology, Startups
15 Jan 2026
The US Department of Defense is prioritizing investment in key technologies like AI, hypersonic weapons, and autonomous drones to maintain a strategic advantage over global competitors, boosting innovation through partnerships and agile acquisition methods.
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15 Jan 2026
Surveillance technologies have outpaced current legal protections, enabling broad data collection and raising concerns about Fourth Amendment violations.
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15 Jan 2026
The podcast discusses Thoughtbot's transition to a "Being Bold" theme for 2026, focusing on intentional decision-making and company values.
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14 Jan 2026
Modern software development complexity is being addressed by simplifying architecture and minimizing dependencies, particularly with the resurgence of Ruby on Rails and alternative frameworks like HTMX and Hotwire.
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The Changelog: Software Development, Open Source
14 Jan 2026
This podcast explores tech topics like CI/CD platforms, AI advancements, and open source trends with a mix of informed interviews, personal stories, and industry analysis.
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14 Jan 2026
A key factor in AI applications is reducing latency, which requires a balance between model size, accuracy, and performance, along with ongoing optimization and monitoring.
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