A continuous learning mindset is essential for any software developer who wishes to remain relevant and increase their market value. This is compiled a list of the top 10 books every software developer should read.

This list is a must for developers who want to be aware of the latest trends and open their minds. Build your career path from Junior to Senior with the required skills for the desired position.

1. Learning Go By Jon Bodner’s

Go is quickly becoming the language of choice for developing web services. While there are numerous tutorials available to teach Go syntax to developers with experience in other programming languages, they are insufficient.

They don’t teach Go’s idioms, so developers end up recreating patterns that don’t make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go.
You will learn how to think like a Go developer, regardless of your level of experience.

Author Jon Bodner introduces and investigates the design patterns used by experienced Go developers. You’ll also get a sneak peek at Go’s upcoming generics support and how it fits into the language.

Learn how to write idiomatic Go code and create a Go project.
Understand the rationale behind Go’s design decisions.
Set up e a Go development environment for a single developer or a team of developers.
Learn when and how to use reflection, unsafe, and to
Learn how Go’s features enable the language to run efficiently.
Learn which Go features to use sparingly or not at all.

2. Fundamentals Of Software Architecture By Mark Richards, Neal Ford

Salary surveys are conducted all over the world on a regular basis. Despite the fact that software architects are among the top ten best jobs, there is no real guide to help developers become architects. Until now, that is. This book is the first to provide a comprehensive overview of the many aspects of software architecture.

Architectural traits, architectural patterns, component selection, diagramming and presenting architecture, evolutionary architecture, and many other topics will be covered for both aspiring and practicing architects.

The focus of Mark Richards and Neal Ford’s course is on architecture principles that are applicable to all technology stacks. They are both hands-on practitioners and have been teaching software architecture classes professionally for years.

You’ll examine software architecture in the present, taking into account all the advancements made in the previous ten years.

This book examines:

The technical underpinnings of many architectural decisions are architecture patterns.
Identification, coupling, cohesion, partitioning, and granularity are the components.
Effective team management, meetings, negotiations, presentations, and more require soft skills.
Modernity: Operational techniques and engineering
Approaches that have undergone a significant change in the recent years
Architecture as an engineering discipline: repeatable outcomes, metrics, and concrete valuations that improve software architecture rigor

3. Clean Code: A Handbook Of Agile Software Craftsmanship By Robert C. Martin

Even if the code is bad, it can still function. However, if the code isn’t clean, it can bring a development team to its knees. Every year, countless hours and substantial resources are wasted due to poorly written code.

But this does not have to be the case. What will you be doing for a living? You will be reading a lot of code. And you’ll be asked to consider what’s right about that code and what’s wrong with it. More importantly, you will be pushed to reconsider your professional values and dedication to your craft.

Readers will gain knowledge from this book.
How to tell the difference between good and bad code?
How to write good code and convert bad code to good code
How to create good names, functions, objects, and so on.

Code formatting for maximum readability
How can complete error handling be implemented without obscuring code logic?
How to Unit Test and Implement Test-Driven Development
This book is required reading for any developer, software engineer, project manager, team lead, or systems analyst who wants to write better code.

4. Programming Rust By Jim Blandy, Jason Orendorff, Leonora F.S. Tindall

The foundation for the world’s computation is provided by systems programming. Writing performance-critical code necessitates the use of a programming language that allows programmers to control the use of memory, processor time, and other system resources.

The Rust systems programming language combines this control with a modern type system that detects a wide range of common errors, such as memory management errors and data races between threads.

This practical guide will teach experienced system programmers how to successfully bridge the performance-safety gap with Rust.

Jim Blandy, Jason Orendorff, and Leonora Tindall show how Rust’s features give programmers control over memory consumption and processor usage by combining predictable performance, memory safety, and trustworthy concurrency.

You will discover:

The fundamental data types of Rust, as well as the core concepts of ownership and borrowing
How to use traits and generics to write flexible, efficient code
How to write fast, multithreaded code that doesn’t cause data races
Closures, iterators, and asynchronous programming are three of Rust’s most powerful tools.