Programming is a constant game of mental Jenga: one line of code stacked upon another, building a tower of code you hope is robust enough not to come crashing down. But it always does, as code never ...

Even though AI can generate code, it is hard to trust it unless you debug the code before implementing it. That is why in this post, we are going to talk about the Debug-Gym tool from Microsoft ...

Make it a habit to dig deeper and find more information about the issue before starting to debug a non-trivial issue. For example: is this a new problem? If so, starting when? Is this only visible to ...

Testing and debugging used to consume half of my development time. I’d spend hours writing unit tests, chasing down bugs through stack traces, and trying to figure out why my code broke in production.

If you have ever tried to debug optimized code, you probably realized that it can be a frustrating experience. Without optimizations, your debugger is a reliable assistant, precisely following every ...

The effectiveness of AI debugging follows a predictable exponential decay pattern; most models lose 60-80% of their debugging capability within just 2-3 attempts, despite iterative debugging being a ...

Visual Studio provides a rich set of tools for finding bugs, though most developers aren't aware or don't take advantage of all of them. Bugs occur at two stages in a code's life: during development ...

Angular 11.1.0 point release introduces standardized error codes, with error descriptions and debugging guides provided online. To improve debugging and help ...

Modern multithreaded, asynchronous code can be hard to debug. The complexity that comes with message passing and thread management results in bugs that can seem non-determinant, with little or no way ...