Technical interviews: A guide for interviewers & candidates
Introduction Let’s face it: Technical interviews can be burdensome and unpleasant—for interviewers and candidates alike. For hiring teams, designing interview and assessment questions that accurately assess a candidate’s technical aptitude, problem-solving skills, and ability to collaborate can be a challenge. Candidates, meanwhile, face the pressure of demonstrating their technical knowledge
Read moreChris’ Corner: Dithering
Dithering is a vibe: Dither is an intentionally applied form of noise used to randomize quantization error, preventing large-scale patterns such as color banding in images. Wikipedia For an academic PDF, this is pretty approachable. In the web world, I typically think of it as associated with “indexed colors” images
Read moreChris’ Corner: A Balancing Act
If you’re a super normal person like me, you’ve gone to war with typographic widows and orphans many times over your years as a developer, trying to ensure they don’t happen and ruin anyone’s day. You know what I mean, a headline with one silly little word that has wrapped
Read moreThe ultimate guide to hiring 10X engineers
Introduction In today’s competitive hiring market, attracting and securing top-notch software engineers is a challenging—yet critical—task for any organization. The challenge: Traditional processes for hiring engineers are slow and burdensome for both candidates and hiring teams. Engineering teams suffer from reduced productivity due to spending many hours a week screening
Read moreWhat we learned at SIOP ’23 about the future of tech hiring
April may be the most anticipated time of year for Industrial-Organizational (IO) Psychologists. Why? It’s when we hold our annual conference, SIOP, where top academics and practitioners in our field come together to share our latest research, debate, and learn from each other. According to SIOP, over 5,000 IO Psychologists
Read moreTop-paying tech roles in 2023—and other key findings from our State of Engineer Hiring Survey
As a technical hiring platform used to evaluate hundreds of thousands of software engineering candidates each year, we have a lot of data. (Like, a lot.) We know which coding languages candidates use, which skills companies are assessing for, and how candidates perform in various skill areas. But this year,
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