Weli calls for cutting candidate costs in AI coding hiring
What happened
On October 15, Hacker News' front page featured engineering lead Weli's analysis of the cost of AI coding hiring assessments. He points out that asking candidates to use LLMs in hiring pushes subscription or API costs onto job seekers with no income, and can cost companies strong engineers. To cut candidate spending, he suggests moving the technical challenge later, narrowing its scope, or having candidates work on site with a company-provided machine and AI account. He also argues for weighting finished code less and architecture, engineering trade-offs and communication more. He acknowledges that on-site tests stress some people and that smaller problems cover less ground.
Written by AI from the coverage · updated 2 hours ago
Coverage
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- Hacker News front pageThe cost of getting a job today
工程负责人 Weli 指出，招聘中要求候选人使用 LLM，会让没有收入的求职者承担订阅或 API 费用，并可能使公司错失优秀工程师。他提出将技术挑战后置、缩小题目范围，以及让候选人在现场操作、由公司提供机器和 AI 账号，以减少候选人的支出。他也主张降低代码成品的考核权重，更重视架构、工程取舍和沟通，同时承认现场考核会给部分人带来压力，小题目的考察范围也更有限。
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