@milan_milanovic: ๐ ๐ผ๐๐ ๐ฑ๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ๐ ๐ฑ๐ผ๐ป'๐ ๐ฟ๐ฒ๐ฎ๐ฑ ๐ฎ๐ป๐ฑ ๐๐ต๐ถ๐ ๐ถ๐ ๐ฝ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐น๐ ๐บ๐ ๐ฏ๐ถ๐ด๐ด๐ฒ๐๐ ๐ฝ๐ฟ๐ผ๐ณ๐ฒ๐โฆ
Summary
A developer shares a curated list of software engineering book recommendations, including titles on AI engineering, distributed systems, and refactoring, and promotes their own book.
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Cached at: 06/05/26, 11:12 AM
Most developers donโt read and this is probably my biggest professional advantage
So when people ask me for book recommendations, I donโt give the same ones as others: Clean Code, The Pragmatic Programmer, and DDIA. Those are fine, of course, but youโve heard about them many times.
In the new issue of Tech World With Milan newsletter, there is the list I actually gave people in 2026. 17 books, sorted by the problem youโre having.
A few that earned their place:
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A Philosophy of Software Design by @JohnOusterhout. I read it late and wished I hadnโt waited. Best explanation I know of why complexity is in and how to push back.
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Designing Data-Intensive Applications, 2nd edition, by @martinkl and @criccomini. The rewrite adds AI data systems. Still, the book I reach for most on distributed data.
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AI Engineering, by @chipro. If youโre putting LLMs into production, this is the one.
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The Software Engineerโs Guidebook, by @GergelyOrosz. The career stuff nobody teaches you. We usually learn it by experience the hard way.
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Refactoring, by @martinfowler. Changing code without breaking it, which is most of the actual job.
My own book is on the list too. Laws of Software Engineering: 63+ laws and principles every engineer learns from experience and fails. I collected them so you donโt have to.
Link is in the comments.
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