Best of Generative AI — July 2025

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   Javarevisited·44w

   Top 5 Books to Learn Prompt Engineering in 2025

   A curated list of five essential books for learning prompt engineering in 2025, covering topics from foundational principles to advanced applications. The selection includes practical guides for developers building LLM applications, comprehensive resources on AI engineering infrastructure, specialized books for educational applications, and career-focused materials. Each book targets different audiences from beginners to experienced practitioners, with emphasis on real-world implementation, ethical considerations, and industry best practices.

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   Article

   The New Stack·45w

   No Code Is Dead

   Industry experts debate whether AI-powered "vibe coding" is killing traditional no-code platforms. While some argue that generative AI eliminates the need for drag-and-drop development tools, others believe AI will enhance visual development rather than replace it. Key concerns include technical debt from AI-generated code, the "orphan code" problem where non-technical users can't maintain what they create, and the need for enterprise governance. Leading platforms are integrating AI capabilities while maintaining visual interfaces and built-in security controls, suggesting a hybrid future rather than complete replacement.

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   Article

   Lobsters·45w

   How I keep up with AI progress (and why you must too)

   A comprehensive guide to staying informed about AI developments through curated sources and trusted experts. The author provides a structured approach to consuming AI information, starting with foundational sources like Simon Willison's blog and Andrej Karpathy's content, then expanding to official announcements from AI labs, high-signal practitioners in AI engineering, and specialized communities. The guide emphasizes staying close to primary sources, following trustworthy individuals, and building a balanced information diet to avoid both AI hype and dismissal.

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   ByteByteGo·47w

   How Spotify Uses GenAI and ML to Annotate a Hundred Million Tracks

   Spotify built a scalable annotation platform to label over 100 million tracks by combining human expertise with GenAI automation. The platform features a three-tier workforce structure (core annotators, quality analysts, project managers), flexible tooling for multimodal tasks, and infrastructure that integrates directly with ML pipelines. This hybrid approach increased annotation throughput by 10x while improving quality through structured escalation paths and agreement scoring, enabling faster ML model development and iteration cycles.

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   Article

   Watercooler·44w

   Just one more, bro

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   Collections·45w

   Generative AI Usage in Steam Games Surges to 7% of Library

   Steam now hosts 7,818 games (7% of its library) that use generative AI, up from 1.1% in April 2024. New 2025 releases show 20% AI adoption, with 60% using AI for visual assets. Applications span texture creation, character voices, content moderation, and marketing materials. High-profile games like inZOI demonstrate commercial success with proper AI disclosure, suggesting player acceptance when transparency is maintained.

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