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Top-3 Books by Peter I can recommend this year (Category Software)

#Software #Databases #Engineering #Architecture #AI #ML #DistributedSystems #API

All three of the following books I consider worthwhile, but it should be noted that I read them in the original and at the time they were published. (I haven't read them in Russian yet.)

1. AI engineering. Building applications using basic models The last few years have been largely under the banner of AI. The level of hype is simply bombatic, but this does not mean that there is nothing behind the hype, and the technology itself does not give anything. On the contrary, the results are large-scale, but only for those who know how to use the tool correctly. And this book is about how to build applications using fundamental models. I already am. told about this book before believeIt will be useful to engineers.

2API Design Patterns About this book I did too. told Before, but within the framework of the hype about AI, it seems to me that it becomes more important. The point is, 2025 The year passed under the sign of AI agents and this move will only accelerate in autumn. 2024 The MCP protocol was introduced. (model context protocol), which described the tool call API format by models, in the spring 2025 Google introduced the A2A protocol (agent to agent)But all these things live on top of good API management approaches. And this book is about that, and the author, J.J. Givax, worked at Google and co-authored the article. "API Governance at Scale" Google Approaches (see mine analysis). He was the co-founder of the resource. aip.dev One of the main ideologists of the AIP process (API Improvement Proposals)Which I mean. told earlier. It is interesting that since the publication of the book, JJ has already moved to Meta. (I think we need to work on the Governance API.).

3Distributed data. Algorithms of modern information storage systems About this book Database Internals, I'm already. told And we even stripper "Code of Architecture" podcast. If you link this book to the topic of AI, then you can say a lot about data storage, about the importance of it for the context of data storage. But I’m not going to do that — I chose this book because it’s a good book about storage engines and distributed system architecture. The author of the book, Alex Petrov, is a contributor to Cassandra, so he has a relevant background on these topics.

In general, the books are worthwhile - I enjoyed reading them:)

#Databases #Software #Engineering #Architecture #AI #ML #DistributedSystems #Architecture #API