HOT! Over 1000 pages! "AI Systems Performance Engineering — Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch" Get it at http://
amzn.to/4pRunYJ via @OReillyMedia
CODE
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New Book on AI Systems Performance Engineering and GPU Optimization
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Educational Guide to Designing and Implementing AI Agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
50 ML Projects for Understanding LLMs and Transformer Mechanisms
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/4aPfP7q
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#AI #GenAI #MachineLearning #DataScientist #DataScience -
Practical Guide to Building LLM and RAG Apps with LangChain
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"Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python" Get your copy at http://
amzn.to/3MZZ9R5 Independently published: December 2025
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Architectural design of open-source AI libraries
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真没见过哪个开源 Repo，能把 18 个 use case 塞进去还没乱套。
— 艾略特 (@elliotchen100) 10 mai 2026
架构方法、Benchmark、Memory 模式，一库打尽。 https://t.co/9z2G8VxrSvI've never seen an open-source repo that can cram 18 use cases in without turning into a mess. Architecture methods, benchmarks, memory patterns—all covered by one library.
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Essential AI Learning Resource for Engineers Discussed
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this is a big deal, on the order of Kelsey Hightower’s “Kubernetes The Hard Way” and probably all ai engineers should go thru this once mostly i advocate “just in time learning”, but this is one scenario you want “just in case”
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Agentic coding vs software engineering
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This means that agentic coding isn't exactly a replacement for software engineering. It is a fundamentally different way of producing software, with different best practices and different use cases. Just like ML.
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Agentic coding as machine learning
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Agentic coding is a form of machine learning. Generated code is best treated as a blackbox artifact whose behavior and generalization should be managed via empirical evaluation, like with any ML model.
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Scaling Senior Engineer Productivity with Claude Code and Multi-Agent Workflows
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Así escala de verdad un Senior Engineer con Claude Code.
— Nico (@nicos_ai) 9 mai 2026
La diferencia está en mover tu tiempo hacia lo que más importa:
→ mejores prompts, más planificación, más review, menos tecleo.
El workflow:
usa un plugin que divide cada tarea entre 5 agentes:
– uno hace brainstorming
-… pic.twitter.com/PkMxnKfmEJHere's how a Senior Engineer truly scales with Claude Code. The difference lies in shifting your time toward what matters most:
→ better prompts, more planning, more review, less typing. The workflow:
use a plugin that divides each task among 5 agents:
– one does brainstorming -
Managing multiple AI coding threads and workflows
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to be clear, im not even running inference. just like, 5 Codex threads + 1 Claude Code thread plus a few other things