4 posts about Programming Tips by 4 contributors.
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With the rise of AI tools like ChatGPT, developers can generate code faster than ever. However, this speed comes with a new responsibility—debugging and validating AI-generated code. This article provides a practical guide to identifying and fixing issues in AI-generated code using real-world C# examples. It covers common pitfalls such as missing validations, edge-case failures, and incorrect business logic. Additionally, it demonstrates how to ensure code reliability through unit testing with xUnit and implements a real-world ASP.NET API scenario. The article emphasizes the importance of developer judgment, testing, and debugging skills in the AI era, ensuring that generated code is not just functional but production-ready.
Cracking a developer interview is not about memorizing code — it’s about strategy, problem-solving, and communication.
Discover simple methods using popular programming languages like JavaScript, Python, or Java. Understand string manipulation concepts and implement effective solutions for reversing text with code examples and explanations.
While working on a complex code, we often come across situations where you need to debug lots of code to find/fix the issue(s). That also includes going through lots of methods (probably related or unrelated). .NetFramework provides a way to avoid unwanted "Step in" through the methods. Using DebuggerStepThrough (using System.Diagnostics) attribute, you can skip debugging of unwanted methods and reduce the debugging time to some extent.
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