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 ...

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 ...

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 ...

Back in the day, we'd write some code, compile, execute, see what happened and repeat. That was testing. (Sometimes that's still what testing looks like, for better or worse.) Today, we can do a lot ...

There appears to be an unwritten law about the time spent in debug-it is a constant. It could be that all gains made by improvements in tools and methodologies are offset by increases in complexity, ...

There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...