140 Tips For Clean Code
Clean code is not an aesthetic choice; it is a professional advantage
This booklet distills 140 practical, field-tested tips for writing clean, readable, and maintainable code. Each tip is concise, actionable, and grounded in real-world development challenges. No theory for theory’s sake. Whether you are refining a legacy system or starting from scratch, these insights will help you reduce complexity, prevent defects, and make your code a pleasure to work with. Clean code is not an aesthetic choice; it is a professional advantage.
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About
About the Book
140 Tips for Clean Code is a practical, experience-driven guide for developers who want to write better software every day, not someday. Distilled from three decades of hands-on software development across multiple programming languages, this book delivers hard-won insights into what actually makes code clean, maintainable, and resilient in real-world systems. It is written for practitioners who value clarity, discipline, and craftsmanship over theory and buzzwords.
This is not an academic treatise or a collection of abstract opinions. At 200 pages, the book is intentionally dense and focused, offering 140 carefully curated tips with zero filler. Each tip is designed to be immediately actionable, allowing busy developers to apply improvements directly to their daily work. Whether you are refactoring legacy code, designing new systems, or reviewing pull requests, the guidance in this book is meant to pay off immediately.
The tips span the full spectrum of modern software development including topics such as:
- Clean code definition, fundamentals, benefits and psychology
- KISS, YAGNI and DRY
- Object-oriented programming: Basics and beyond
- SOLID principles deep-dive
- Functional programming: How to apply SOLID and clean architecture
- Design patterns: Essentials only
- Domain-driven design: Strategic and tactical
- Architecture: SoC, layered, DDD, clean, vertical slice, screaming
- Code organization
- Programming: refactoring, avoiding common code smells and unnecessary comments
- Naming conventions and strategies
- Collaboration
- Quality control
- AI-assisted development
140 Tips for Clean Code is written to elevate developers at every level focusing on all important areas where small decisions compound into long-term success or failure. Junior engineers gain a clear mental model for writing professional-grade code, while senior developers and architects will sharpen their instincts and validate, or challenge, their existing practices. If you are serious about improving the quality of your code and the longevity of your systems, this booklet serves as a concise, authoritative companion you will return to repeatedly.
Praise for the 140 Tips for Clean Code:
"An invaluable guide for every developer seeking to improve their game. If you haven't read the Clean Code by Uncle Bob, read this instead!"
— Rajesh Yadav, Senior Software Engineer
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Author
About the Author
Petri K. Silén is a lead software developer at Nokia Networks in Finland with over 30 years of industry experience. He has done both frontend and backend development with solid competence in multiple programming languages, including C++, Java, Python, Go, and JavaScript/TypeScript. He started his career at Nokia Telecommunications in 1995. During his first years, he developed a real-time mobile network analytics product called "Traffica" in C++ for major telecom customers worldwide, including companies like T-Mobile, Orange, Vodafone, and Claro. The initial product was designed to monitor a 2G circuit-switched core network and a GPRS packet-switched core network. Later, functionality for Traffica was added to support new network technologies, such as 3G circuit-switched and packet core networks, 3G radio networks, and 4G/LTE. He later developed new functionality for Traffica using Java and web technologies, including jQuery and React. Over the last few years, he has developed cloud-native, containerized microservices in Java, Go, and C++ for the next-generation Customer and Networks Insights (CNI) product, used by major communications service providers such as Verizon, AT&T, USCC, and KDDI. The main application areas he has contributed to over the last few years include KPI-based real-time alerting, KPI anomaly detection, and configurable real-time data export.
During his free time, he has developed a data visualization application using React, Redux, TypeScript, and Jakarta EE. He has also developed a security-first cloud-native microservice framework for Node.js in TypeScript. He likes taking care of his Kaapo cat, taking walks, playing tennis and badminton, skiing in the winter, and watching soccer and ice hockey on TV.
Contents
Table of Contents
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