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Books Every Software Engineer Must Read in 2025.

You probably already noticed that I'm a big fan of reading. You can learn from knowledgeable people by working directly with them or reading what they have written. The first option is the best, yet it is often impossible. We have books written by people who were probably the best at this in the world at the time of writing.

If we look at the software engineering world, there are many gems here, but I will recommend the best books per area of work. These books will help you not only to become good at specific technology but to become a great software engineer overall.

๐Ÿญ. ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐—น:

๐Ÿ”น The Pragmatic Programmer by David Thomas and Andrew Hunt (amzn.to/3KzpVwj)

๐Ÿ”น Code Complete: A Practical Handbook of Software Construction (amzn.to/3xbRF5O)

๐Ÿ”น Modern Software Engineering by David Farley (amzn.to/3kqZaQ6)

๐Ÿ”น Software Engineering at Google (abseil.io/resources/sweโ€ฆ)

๐Ÿฎ. ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด ๐—ฝ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฒ๐˜€:

๐Ÿ”น Clean Code by Uncle Bob Martin (amzn.to/3KyVoyV)

๐Ÿ”น Head First Design Patterns by Eric Freeman (amzn.to/3Kzq2YX)

๐Ÿ”น Refactoring by Martin Fowler (amzn.to/3m8bAgo)

๐Ÿฏ. ๐——๐—ฎ๐˜๐—ฎ ๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—น๐—ด๐—ผ๐—ฟ๐—ถ๐˜๐—ต๐—บ๐˜€:

๐Ÿ”น Grokking Algorithms (amzn.to/3ksUw4e)

๐Ÿฐ. ๐——๐—ฎ๐˜๐—ฎ:

๐Ÿ”น Learning SQL by Alan Beaulieu (Free - r-5.org/files/books/comโ€ฆ)

๐Ÿฑ. ๐—ง๐—ฒ๐˜€๐˜๐—ถ๐—ป๐—ด:

๐Ÿ”น Growing OO Software by Tests by Steve Freeman (amzn.to/3xRVaeB)

๐Ÿ”น TDD by Example by Kent Beck (amzn.to/3EEHwiC)

๐Ÿ”น Unit Testing Principles, Practices, and Patterns by Vladimir Khorikov (amzn.to/3ZBZYAJ)

๐Ÿ”น The Art of Unit Testing by Roy Osherove (amzn.to/3kr7m2K)

๐Ÿฒ. ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ:

๐Ÿ”น Fundamentals Of Software Architecture by Mark Richards and Neil Ford (amzn.to/3xQ1EuD)

๐Ÿ”น A Philosophy of Software Design by John Ousterhout (amzn.to/3IopUZm)

๐Ÿ”น Clean Architecture by Uncle Bob Martin (amzn.to/3ERwsPw)

๐Ÿ”น Domain-Driven Design Distilled by Vaughn Vernon (amzn.to/41slJoo)

๐Ÿ”น Software Architecture the Hard Parts (amzn.to/3Zmg15r)

๐Ÿณ. ๐——๐—ถ๐˜€๐˜๐—ฟ๐—ถ๐—ฏ๐˜‚๐˜๐—ฒ๐—ฑ ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€:

๐Ÿ”น Understanding Distributed Systems by Roberto Vitillo (amzn.to/3XZOFkG)

๐Ÿ”น Designing Data-Intensive Applications by Martin Kleppman (amzn.to/41uO65o)

๐Ÿด. ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€:

๐Ÿ”น DevOps Handbook by Gene Kim (amzn.to/3m4iJ16)

๐Ÿ”น Continuous Delivery by Jez Humble and David Farley (amzn.to/3ECoVUo)

๐Ÿ”น Accelerate by Nicole Forsgren (amzn.to/3StOug6)

๐Ÿต. ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—น๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด:

๐Ÿ”น The Hundred-Page Machine Learning Book (amzn.to/3Y1SIwN)

๐Ÿ”น Designing Machine Learning Systems (amzn.to/4cw5FHM)

๐Ÿ‘‰ Check the complete list (34 books): newsletter.techworld-wiโ€ฆ

Jan 13, 2025
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8:30 AM
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