95 books like Design Patterns

This book is different from the others I recommended, because its focus is not really on creating algorithms, but rather on how to improve code with a systematic process, keeping functionality but enhancing quality.

The author shows several practical techniques that he applies to real-world problems and empower you to elevate your code's quality and adapt it seamlessly to changing needs. It's not just about writing code; it's about becoming a more effective and confident developer.

I consider this book a companion on the journey to mastering the craft of coding. With it, you’ll always be able to achieve higher-quality code, no matter the original version of the code.

This multi-volume book is, for me, a masterpiece that goes far beyond just coding or algorithms or data structures, and serves as a profound exploration of algorithmic thinking and computer science's theoretical foundations, going deeply into the performance of algorithms and the behavior of data structures.

Knuth's meticulous approach, coupled with his clear and engaging prose (with occasional touches of humor) clearly explains complex concepts, and shows a deep understanding of the artistry inherent in solving computational problems.

Bill Gates said that anybody who went through all its volumes would get a job at his company, and I surely agree! I would recommend this book both for novice or seasoned programmers, because you will always find invaluable insights in it.

This thin but quite fulfilling book is a compact yet profound exploration of proven program correctness, probably one of the first texts to focus on that topic.

Dijkstra's emphasis on mathematical rigor and disciplined thinking reshapes how programmers approach problem-solving. The author imparts essential principles of program construction, advocating for clarity and precision in code, and leading to cultivating a disciplined mindset, and fostering a deep appreciation for the art and science of programming.

Despite its age, all its knowledge is fully valid, and I’d give the book to every programmer so they can reach a higher level of quality.

This book is essential in that it follows a systematic and scientific approach to software development, advocating for clarity in expressing algorithms, providing a rigorous framework for designing and reasoning about programs, and, fundamentally, always focusing on formal methods and mathematical techniques to ensure correctness and efficiency in programming code.

Most importantly, the book doesn’t just show you how to prove programs correct, but also teaches how to arrive from a definition to an efficient and correct solution, so I would recommend this to every developer.

This is the most complete and exhaustive reference book when it comes to test automation. It’s a massive book that’s got pretty much all bases covered: test patterns, test strategies, test smells, test practices, etc. … It’s all there. If you want to get a feel about what’s covered, check out the xUnit Test Patterns website. This book provides all the information to become an expert at all kinds of automated tests. It requires a lot of effort to process the content, but it’s definitely all worth it!

My journey in the world of software development has been arduous and challenging.

One of the common struggles we all face is the overwhelming number of solutions available, making it impossible to fully grasp everything at a deep level.

Just when I thought I had mastered an approach and felt competent in it, a new shiny approach would emerge, demanding my immediate attention. It often felt like a never-ending race to keep up with the ever-evolving field.

This constant pursuit of staying relevant as a software engineer can be frustrating, as it feels like we are always lagging behind the rapidly advancing world. I discovered that knowledge of specific technologies, frameworks, or libraries does not easily transfer across different technology stacks. They are too specific and lack universality. It was then that I turned my focus to more general principles of software engineering.

I realized that there are fundamental engineering… show more.

Smalltalk is not as common or popular as it once was, but the influence its design had on programming is hard to overstate.

Reading this book has changed how I think about object orientation, and how I design systems, learning the patterns of Smalltalk makes it clear what object oriented design is really intended to achieve.

I must admit that the first time I read this book, it completely didn’t resonate with me. Sure, I picked up a couple of very important concepts here and there. One of those concepts is the “Test Data Builder”. However, some of the techniques I completely rejected. It took me a couple of years to start opening up to the practices described in this book. After a second read, I came to the conclusion that this excellent work deserved more credit. That’s why I added it to this list. This book shaped my entire thinking around Outside-In TDD, which is a very important approach to guiding well-designed software systems.     

If you check out Amazon’s best selling books on object-oriented design, you might see a relic from 1995 still hanging near the top: "Design Patterns". That book transformed software design. Its four authors will forever be known to my generation as the “Gang of Four".

Some of the original patterns may feel outdated today, but others remain essential. Pity that the book itself is such a tough read. Good thing that another "gang of four”, spearheaded by the excellent Kathy Sierra, gave us this lighthearted take on the original patterns.

The Design Patterns book was a densely packed truck of ideas. By comparison, Head First Design Patterns is a whimsical bumper car. It’s quirky and accessible, which some serious programmers found off-putting: “It’s a book for teenagers!“, they griped.

Yes, it’s not for everybody. But it’s fun, unassuming, and it teaches important concepts. So it makes my list.

When trying to become a better Java developer, there is so much to learn.

97 Things covers, well 97, of them in a series of brief essays. What’s cool is that the essays were written by different people so you get lots of points of view on what is important. Topics range from language (comments, fat jars) to the ecosystem (benchmarking, frequent releases) to the language-agnostic (definition of done and breaking down problems.)

Note that two of these are mine. The book is thin at just over 200 pieces. And since each “thing” is short, it’s easy to read on the go.