AI has enabled candidates to game assessments. Hiring managers are struggling to identify genuine skill. Over half of developers admit to using AI in coding tests with plagiarism detection flagging 60% of candidates.
AI has transformed coding, yet hiring processes still prioritize irrelevant coding challenges over real-time problem-solving, debugging, and AI-assisted development. Companies miss out on competent talent because their tests don’t reflect real-world work.
97% of developers use AI assistants and 61% rely on multiple AI tools while coding. Knowing how to utilize AI effectively, from orchestrating tooling to prompting to reviewing suggestions has become a critical skill. Most hiring processes ignore this, failing to assess the application of AI in the development workflow.
Clearly establish expectations for when candidates can and can not use AI in your hiring process. Enforce those rules at scale with the world's leading integrity stack.
In HackerRank you get:
Real-world code repository assessments allow candidates to tackle realistic engineering challenges in a live coding environment. Like testing a pilot in a flight simulator, these assessments reveal how developers debug, problem-solve, and integrate AI tools.
Designed to conduct first-round interviews like your best engineers, the interviewer evaluates depth of knowledge, problem-solving skills, code quality, and the ability to work with AI.
The role of the developer is changing as almost every developer uses AI to build software. You gain a strategic advantage by adapting your hiring process to find developers that have both the fundamental skills and the ability to orchestrate AI agents.