Most recent episodes from podcasts in the development category.
26 Jan 2026
The podcast discusses modern web development trends and best practices, including the importance of differentiating between internet and web development, and leveraging native HTML components for improved accessibility and clarity.
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25 Jan 2026
Ruby on Rails, tools like Llama Press, and user-centered design strategies are discussed in the exploration of building a practical app and AI-assisted development practices for an HVAC business.
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25 Jan 2026
The podcast delves into the evolution of cloud technology from Cloud 1.0 to Cloud 2.0, exploring recent innovations and future trends such as AI integration and decentralized solutions.
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The Changelog: Software Development, Open Source
24 Jan 2026
This podcast discusses the current state of home labs in 2024, highlighting self-hosted and open-source solutions due to hardware shortages and rising costs.
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23 Jan 2026
The discussion focuses on improving cookie banner design and user consent management through more transparent and user-friendly solutions, driven by ethical considerations and technological advancements.
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23 Jan 2026
Hotmart employs AI and machine learning across various business areas, including customer support, content moderation, and sales, to improve efficiency and effectiveness.
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23 Jan 2026
Software dependency management is fraught with risks including licensing conflicts, security issues, and maintenance challenges, requiring careful library selection and strategic use of tools and open source resources.
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23 Jan 2026
Researchers discuss AI advancements in areas such as spreadsheet automation, reinforcement learning, and large language models.
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23 Jan 2026
A podcast discusses how a company has implemented a mature AI-assisted development environment, leveraging AI tools to enhance software engineering tasks, and explores the challenges and benefits of AI adoption across various teams and industries.
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23 Jan 2026
Apache Spark's development and significance in data processing is analyzed, focusing on its efficiency, flexibility, and challenges in AI and machine learning tasks.
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