91 Books Like Code Complete

In my consulting gigs, I come across plenty of clueless remarks. Here's a classic one: “We're falling behind schedule, so let's hire more coders.” Or a more recent gem: “We'll be ten times more productive if we generate code with AI.”

When I encounter such nonsense, I don't facepalm or cringe. Instead, I put on my poker face and drop a quote from The Mythical Man-Month.

In an industry where last year’s book is already outdated, Fred Brooks' collection of essays has been a guiding light for nearly half a century. His aphorisms have become legendary. “The bearing of a child takes nine months, no matter how many women are assigned.” “Adding manpower to a late software project makes it later.” “There is no silver bullet.” The list goes on and on.

John Carmack, one of the greatest programmers of our times, used to revisit this book every year or… show more.

I love writing good clean code. There is something refreshing about writing or reading code that reads more like a book than some obscure instructions to a machine. This book goes into the details of how to write “clean code” and what makes it clean.

I felt like I learned so much about writing good code from reading this book about things that you are never really taught in school or on the job as a software developer.

I found so much of the book so interesting because I could use what I was learning right away to become a better programmer.

If you want to become a better programmer and are looking for a book that will entertain you and be fun along the way, I highly recommend Clean Code.

Yes, it’s a textbook, albeit a particularly well-written one. You may already have it on your shelf, if you’ve taken a programming class or two.

I’m way too old to have used CLRS as a textbook, though! For me, it’s an effectively bottomless collection of neat little ideas—an easy-to-describe problem, then a series of increasingly clever ways to solve that problem. How often do I end up using one of those algorithms? Not very often! But every time I read the description of an algorithm, I get a nugget of pure joy from the “aha” moment when I first understand how it works.

When people think about software engineering they mostly think about programming, but that’s not where a project starts. It starts with requirements.

(Really it sometimes starts with company politics, bickering, excuses, and backstabbing, but requirements gathering is often the official start.)

A good set of requirements keeps developers pulling in the same direction; a bad one can make the team inefficient, cause endless arguments, set developers against each other, and make the project feel like Lord of the Flies. I’ve seen projects scrapped and restarted from scratch or even canceled due to poor documentation.

Every software developer should know at least a little about writing so they can produce clear requirements and documentation.

This book isn’t specifically about writing documentation (which is something of an art in itself), but it can help you learn how to make your business writing more effective. This book won’t turn you into Shakespeare,… show more.

I knew how to code when I finished school, or at least I thought I did. What I didn’t know was how to think about programs and how to structure the bigger picture. Over time and with practice, I learned how to think about design, but the journey was fraught and painful. I wish I had this book when I started out.

Coming to the book later in my career, I may have intuitively known a lot of what Ousterhout covers, but I’ve never seen it put so elegantly. I found myself nodding along and now often point coders at this little treasure.

A common reason for microservice projects to fail is a lack of understanding of how to build resilient and fault-tolerant microservices.

This book was a game-changer for me, providing essential strategies to address these challenges. It taught me how to avoid anti-patterns like Cascading Failures and embrace patterns like Circuit Breaker and Bulkhead to manage temporary network issues and overload situations. The real-world solutions it offers were immediately applicable to my projects.

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.

Wow! This book is exactly what every programmer has always wanted to know or even felt guilty about not knowing and it’s all presented in an extremely simplified and fun way. 

This is one of those books where you get excited in the morning when you wake up because you know you are going to be able to read more in the book and you are hoping the book will never end.

It’s rare to find a big book that I enjoyed reading so much and felt so short. This book covers almost everything you ever wondered about computer science. After reading this book, I felt like I finally understood everything a programmer was supposed to know and I no longer felt that nagging feeling of being an imposter.

This book changed my entire perspective on writing the UI and UX of great software. Even the revised edition is a bit old but still has many valuable lessons to teach. Platt established many of the fundamental principles of writing usable and transparent software, and his book should be read not only by designers, but perhaps especially by programmers.

This book helped me set my initial approach to software development and I still periodically return to it for grounding.

An MIT project theorized that new-fangled PC software developers knew something mainframe and mini-computer makers didn’t. MIT’s research revealed something else entirely: Microsoft had uniquely effective ideas on how to build complex products in rapidly evolving competitive markets. Here is “agile” before it was put into the Manifesto in 2001, in a more complete form. Ever wonder where the idea of a team comprising functional specialists with overlapping roles, united by a common goal, came from? Or incremental feature evolution with periodic synchronization and constant testing? Early brilliance still of foundational relevance, in a coherent and engaging form.