Karat blog

Enterprise leaders can scale technical interviews by standardizing evaluation criteria, modernizing assessments for the AI era, expanding interview availability, and adding trained interviewer capacity. This not only allows enterprises to conduct more interviews, but it also creates a consistent, high-quality hiring signal across teams, roles, regions, and talent sources without stretching engineers thin. Scaling technical […]

AI has impacted technical assessment formats in different ways. Code tests and take-home assessments now provide less reliable hiring signals. Because candidates can use AI to generate complete solutions, these asynchronous and output-based assessments offer less insight into a candidate’s true capabilities. Live interviews with a human hold up better, but they can’t measure how […]

Not long ago, hiring software engineers was largely about evaluating whether someone could write quality code on their own. Today, that assumption no longer reflects how engineering work actually gets done. Generative AI has become part of the modern software development workflow. Engineers use AI to accelerate implementation, explore unfamiliar codebases, generate tests, debug issues, […]

Financial services engineering leaders are tasked with modernizing legacy systems, shipping new digital products, and navigating an AI revolution – all while competing with big tech and fast-growing startups for increasingly scarce engineering talent. To better understand where FinServ engineering leaders are feeling the most pressure, Karat analyzed data from 303 CTOs, CIOs, VPs of […]

Google: What are Karat interview questions? Chances are, if you’ve taken a Karat interview, you’ve run a search like the example above. In fact, most candidates interviewing at any company will have scoured Leetcode, Reddit, Blind, Glassdoor, and other sites for clues on what questions they might be asked throughout the technical hiring process. At […]

[This article was originally published in 2020, but has been updated to reflect the evolution of interviewing and what Karat technical interviews measure in the human + AI era.] Going back to the early days of Karat, reviewing candidate feedback has been one of the most important ways we gauge the consistency, accuracy, and fairness […]

AI has raised the stakes on every engineering hire. Most evaluation processes weren’t built for that. Here’s how the best engineering organizations are closing the gap. For most of the last decade, growing engineering capacity meant growing headcount. You hired aggressively, accepted some variance in quality, and assumed that volume and velocity would carry teams […]

Same-day technical interviews are transforming how software teams compete for top engineering talent. By enabling candidates to schedule and complete interviews within hours of receiving an invite, companies dramatically improve time-to-hire, offer acceptance rates, and candidate experience. Learn how Karat's global network of trained Interview Engineers delivers scalable, 24/7 interview coverage—and why this operational edge is critical in the race for AI and software engineering talent.

AI is changing technical hiring by accelerating every stage of the funnel and making it harder to identify genuine software engineering skills from AI-assisted output. Candidates can now easily produce polished resumes and correct interview answers, even if they lack the necessary skills or knowledge. This degrades hiring signals and is forcing companies to rethink […]