TL;DR: People are unlikely to make swift changes to their core behaviors. By detecting what they care about now, you will get an accurate estimation of their near future behavior. That helps you answer the second question you need to ask during an interview: «Can I work with you?»
The previous behaviors will likely continue to manifest themselves. That is one of the natural qualities of us humans. Like Newtonian objects, we stay in motion when we are in motion and lay at rest when we are already at rest. To change that, we have to exert a massive force…
TL;DR: Most companies use the wrong metrics during software engineering interviews. That makes them both brutal for the candidates and inefficient for the companies. Both sides suffer as a result. In this blog post, we propose how to improve your hiring loop by using the right metric.
Before we dive in, let’s recap how a typical hiring loop looks and the rationale behind it. It usually consists of several technical interviews, followed by “meet the CEO” ones. The technical interviews can take different forms: from universally loathed on-site whiteboarding to pairing sessions using online coding solutions. The unifying theme in…
TL;DR: about half of candidate applications for software engineer positions don’t work. Reviewing them is simply a waste of your engineers’ time. In this post, we explore why and propose how to get this time back.
Have you ever saw a recruiter in your company chat going like:
@here does anybody have the experience with Language X to review the challenge of a candidate?
It is not hard to see it for what it is. It is a cry for help.
What recruiters are looking for is a hiring decision, and they need an engineer to do it for them.
TL;DR: it is close to impossible to define what a great software engineer is. Yet to be successful, it is critical to identify and hire them. To meet this goal, many companies try to copy what famous companies do. In this post, we discuss why this is a dangerous idea and propose a better alternative.
It is easy to see when someone is already a great software engineer. It is hard to define a set of predictors that will determine with certainty if someone will become one.
Large tech companies usually bet on a college degree with some trial and…
AutoIterative platform enables companies to hire the best software engineers without wasting time.