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Robust Code

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May 1, 2024 3 minute read

Robust Code is code that is reliable, error-free, and able to withstand unexpected inputs or conditions. It is an essential part of software development, as it helps to ensure that software is stable and secure. There are many ways to write robust code, but some common techniques include:

Exception Handling

Exception handling is a way of dealing with errors that occur during runtime. By using try/catch blocks, you can catch errors and handle them gracefully, preventing your program from crashing.

Defensive Programming

Defensive programming is a style of coding that emphasizes the use of checks and balances to prevent errors from occurring in the first place. For example, you can check for null pointers before dereferencing them, or you can use type checking to ensure that variables are of the correct type.

Testing

Testing is essential for finding and fixing bugs in your code. By writing unit tests, integration tests, and system tests, you can verify that your code is working as expected and identify any potential problems.

Code Review

Path to Robust Code

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We've curated two courses to help you on your path to Robust Code. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Robust Code.
Comprehensive guide to writing robust code. It covers topics such as test-driven development, refactoring, and design patterns.
Guide to working with legacy code. It covers topics such as refactoring, testing, and design patterns.
Guide to software testing. It covers topics such as test planning, test design, and test execution.
Guide to refactoring code. It covers topics such as identifying bad code, refactoring techniques, and test-driven refactoring.
Guide to software architecture. It covers topics such as architectural styles, design patterns, and software quality.
Classic guide to software project management. It covers topics such as software planning, estimation, and risk management.
Guide to domain-driven design. It covers topics such as domain modeling, bounded contexts, and aggregate roots.
Guide to test-driven development. It covers topics such as test-driven design, test automation, and refactoring.
Guide to professional software development. It covers topics such as software ethics, software craftsmanship, and software development best practices.
Guide to software engineering at Google. It covers topics such as software development processes, tools, and best practices.
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