Interview based show hosted by Gergely Orosz. Episodes are also available as video on Youtube. Show notes have a summary and many relevant links.
Episodes
8 Apr 2026
David Heinemeier Hansson shifts from critiquing AI coding tools to embracing an AI-first approach at 37signals, emphasizing Ruby on Rails' token efficiency, Omachi's user-friendly design, AI-driven productivity, evolving developer roles, and the balance between automation and craftsmanship in software innovation.
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1 Apr 2026
Tuan Pham's journey from a Vietnamese refugee to Uber's tech leader, transforming its dispatch system via microservices, overcoming academic-to-industry challenges, and emphasizing adaptability, mentorship, and aligning innovation with real-world needs through AI and logistics.
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18 Mar 2026
WhatsApp's growth from 30 engineers to 450 million users through simplicity, minimal processes, and user-centric design, alongside lessons on lean engineering, startup agility, and AI's role in shaping future tech strategies.
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11 Mar 2026
Technological shifts driven by AI are accelerating, requiring software engineers to adapt and focus on developing AI agents and innovation through mashups.
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4 Mar 2026
The podcast explores AI's impact on software development, highlighting its potential to democratize access, shift workforce dynamics, and raise concerns about human agency and ethics.
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25 Feb 2026
Michel Hashimoto's career, including the founding of HashiCorp and key infrastructure tools, is explored in detail.
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12 Feb 2026
Kotlin, a language designed to improve on Java, has evolved from an IDE plugin to a full-featured programming language with significant traction, particularly after being endorsed by Google.
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4 Feb 2026
Software engineering's history is explored, with a focus on human roles versus emerging technologies like AI.
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28 Jan 2026
Software development practices are being transformed by AI tools that generate code from detailed prompts, requiring a shift to model-driven approaches and careful quality assurance to ensure reliability.
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21 Jan 2026
Amazon Web Services S3 is discussed in terms of its massive scale, engineering complexities, and capabilities in managing and processing large volumes of data.
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