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Kent C. Dodds shares Rasmic's insight that old engineering books can help steer AI agents that write code.
A curated list of books, lectures, and online courses for building a mathematical foundation for AI and machine learning, including popular resources like 'Mathematics for Machine Learning' and Khan Academy courses.
Stas Bekman is working on books about Machine Learning Engineering and Debugging and wonders if the community will read them, noting they could serve as a skill document for AI.
A curated list of 22 high-quality LLM books maintained by an experienced developer, covering key learning paths from beginner to advanced, with detailed ratings and links.
AI Engineer jobs have surged 143% in 2026, and some recommended free books are listed.
A tweet shares a Google Drive folder of books claiming they can help replace Claude AI.
A curated list of 10 books for AI engineers in 2026, organized into three layers (foundation, core, advanced), covering Python, software engineering, AI literacy, and production systems.
A compilation of authors offering DRM-free books, including sample chapters and links to download, along with resources for finding more DRM-free and out-of-copyright ebooks.
A tweet sharing Brendan Gregg's curated list of recommended books covering systems performance, language performance, database performance, and other computer science domains.
A Twitter thread listing the top 10 system design resources, including books, blogs, and frameworks, with a link to Martin Fowler's website for further reading.
A list of 10 books that serious AI researchers actually recommend, covering topics from probability theory and information theory to reinforcement learning and cognitive science, providing deeper insights beyond popular reading lists.
A thread recommending the optimal order to read CUDA books, starting with CUDA by Example to build intuition before diving into more advanced texts.
The number of AI-generated books has skyrocketed in just three years, highlighting a significant trend in publishing.
A personal reflection on preferring pre-2022 books because they were written without AI assistance, questioning the value of human effort in the age of LLMs.
A curated collection of must-use resources for building AI systems, including books, courses, and landmark papers.
A list of 10 recommended books for becoming a 10x AI engineer, covering LLMs, machine learning, deep learning, and data-intensive systems.
A personal collection of public domain books freely available online, with references to Anna's Archive, LibGen, and torrents for additional materials.
Elad Gil and Ivanka Trump are launching the Alexandria project, using AI to translate 1,000 great public-domain books into every major language, making them freely accessible with text, audiobook, and chat features.
A curated list of Lean 4 books for learning the theorem prover, covering functional programming, metaprogramming, and logical verification, with opinions on each resource.
A curated list of major books on CUDA programming covering beginner to advanced topics, including C++ and Python, with focus on practical resources for NVIDIA GPU parallel computing.