Inhalt: As a writer of code, the complier isn't your only audience. Your coworkers-and even your future self, when you fix bugs-must be able to easily understand your original intent. In this course, learn why it's important to write code that's clean-or, easily understood by both computers and humans-and how to do it in practice. Instructor Scott Ford reviews how to ensure that different aspects of your code are clearly and thoughtfully constructed, including names, formatting, and logic. Plus, he explains what a "clean" unit test looks like, and how to ensure that your tests are fast and efficient. Umfang: 01:04:58.00
Inhalt: Code quality is important to every developer. Poorly written software can cost you customers, time, and money. This course introduces best practices and tools for writing high-quality code, so you can deliver better products, get updates to market faster, and reduce your overall technical debt. Instructor Scott Ford introduces platform-agnostic tools that will help improve any software project. Learn how to reduce complexity with CodeClimate, analyze hotspots and churn with CodeScene, ensure adequate code coverage with NDepend, and reduce duplication with SonarQube. Plus, find out how to use Snyk to secure dependencies and build a more consistent coding style with HoundCI. By the end, you'll have the tools and skills you need to create cleaner code-and programs that are easier to debug, run, and maintain. Umfang: 01:40:30.00
Inhalt: In nearly every organization, developers are forced to grapple with old code that gets in the way of writing new features. Is legacy code limiting your development team's agility? If so, let this course be your guide for how to embrace a legacy system and improve it while paying down technical debt. Instructor Scott Ford explains how to review legacy code and fence in the technical debt by creating and running a test suite. He also demonstrates how to introduce dependency management and update dependences and tools, how to remove noise and distractions from your code, and how to keep technical debt at bay by remaining test driven and monitoring code quality. Umfang: 01:02:05.00
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