I just finished renovating the Rookout Breakpoint Editor area. It's the place within the Rookout app that lets you set a breakpoint condition, hit limit, time limit, variable collection depth, and other settings.

At Stackify, we’re all about helping you improve your application’s performance. We have actually developed two code profilers ourselves. Because of that, we like to think we know a thing or two about code profiling. Today I want to talk about the three different types of code profilers, describe the differences between them, and recommend some tools for your toolbox.

You know the saying, “by developers, for developers”? Well, at Rookout, we take that quite literally. Developers are the heart and soul of Rookout. As developers ourselves, especially as ones who have had our heads stuck in code for many years, we look to make fellow developers’ lives easier. There are countless tools that are available to developers. Whether they enable easier workflows, improve quality, aid in collaboration, and so on and so forth - the sky's the limit.

As the world is adapting to new and unforeseen circumstances, many of the traditional ways of doing things are no longer. One significant effect of this is that the world has gone almost completely virtual. Whether it’s Zoom happy hours and family catch ups or virtual conferences, what used to be in-person has digitized.

I recently remembered that about 13 years ago I was fully certified with the “Works on My Machine” certificate program. Although I went through the entire evaluation process as was required by Joseph Cooney in this blog of his, to be honest, I didn’t quite like how his certificate looked. So, I decided to go the extra mile - well, really, the extra few steps- in order to get the revised certificate issued by Jeff Atwood’s version.

Nowadays, the term ‘remote debugging’ instills fear into even the bravest of dev hearts. Palms sweaty, knees weak, and arms ready (to code) they dive into what they’re sure will end in much pain and possibly a few broken pieces of code. This scenario and these feelings are common to devs everywhere, where many opt to take the trusted path of debugging on their *own* machines.

Working with Rookout customers, I have noticed a significant pattern in how they describe engineering routines in the days before our software became a part of their daily workflow. It shows up in various engineering tasks such as developing new features, reproducing and fixing bugs, or even just documenting the existing system and how to best utilize it. It is also consistent across industries and tech stack.