Issue #313

April 10, 2026

A. Gullí’s "Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems" feels like a timely guide for data scientists and machine learning engineers who are ready to move past the hype around AI agents and focus on how these systems are actually built. What makes the book stand out is its practical, pattern-based approach: instead of treating agents like magic, Gullí breaks them into reusable design ideas that help readers think more clearly about architecture, workflows, and implementation. That alone makes it more valuable than many AI books that are heavy on buzzwords and light on substance.

One of the book’s strongest qualities is its hands-on mindset. By working through recognizable frameworks and concrete design patterns, it gives technical readers a clearer path from experimentation to real system design. For ML engineers, that means a stronger grasp of modularity and maintainability; for data scientists, it offers a useful bridge between model knowledge and application building. The book is at its best when it helps readers see agentic systems not as mysterious novelties, but as engineering problems that can be approached systematically.

Its weaknesses are relatively minor but worth noting. Because it leans on current frameworks and tools, some parts may age quickly in such a fast-moving field, and readers looking for a deeper dive into evaluation, benchmarking, or production-scale operations may find it less comprehensive on those fronts. Still, Agentic Design Patterns sounds like the kind of book that can sharpen how technical practitioners think about intelligent systems—and for many readers, that will be reason enough to keep turning the pages.

Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems

1. Quantization from the ground up [ngrok.com]
2. Who Is Satoshi Nakamoto? My Quest to Unmask Bitcoin’s Creator [www.nytimes.com]
3. The Cult Of Vibe Coding Is Insane [bramcohen.com]
4. The Evolving Foundations of Math [quantamagazine.org]
5. Emotion Concepts and their Function in a Large Language Model [transformer-circuits.pub]
6. OpenClaw: The complete guide to building, training, and living with your personal AI agent [lennysnewsletter.com]
7. Safeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly [research.google]

• Towards transparency and knowledge exchange in AI-assisted data analysis code generation (R. Haase)
• Premature termination of unemployment benefits increased COVID-19 transmission and deaths in the USA (S. Park, K. M. Lee, J. S. Earle)
• An international mega-analysis of psychedelic drug effects on brain circuit function (M. Girn, M. K. Doss, L. Roseman, K. H. Preller, F. Palhano-Fontes, L. Pasquini, F. S. Barrett, P. Mallaroni, N. L. Mason, C. Timmermann, D. E. McCulloch, P. M. Fisher, B. S. Winston, F. Moujaes, F. Muller, M. E. Liechti, F. X. Vollenweider, J. G. Ramaekers, K. Kuypers, D. B. Araujo, O. Sporns, J. Siegel, N. Dosenbach, D. J. Nutt, R. L. Carhart-Harris, E. A. Stamatakis, D. Bzdok)
• Association between COVID-19 vaccination and sudden death in apparently healthy younger individuals: A population-based case-control study (H. Abdel-Qadir, H. A. Bhatt, S. Swayze, M. Paterson, D. T. Ko, D. N. Juurlink, J. C. Kwong)
• Embarrassingly Simple Self-Distillation Improves Code Generation (R. Zhang, R. H. Bai, H. Zheng, N. Jaitly, R. Collobert, Y. Zhang)
• Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models (O. Ahia, S. Kumar, H. Gonen, J. Kasai, D. R. Mortensen, N. A. Smith, Y. Tsvetkov)
• Temporal Structure Mediates the Robustness and Collapse of Plant-Pollinator Networks (T. Clegg, T. Gross)

Deploy Agents with A2A on LangSmith Deployment

April 10, 2026

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