|
|
此文章由 whocares2014 原创或转贴，不代表本站立场和观点，版权归 oursteps.com.au 和作者 whocares2014 所有！转贴必须注明作者、出处和本声明，并保持内容完整
本帖最后由 whocares2014 于 2026-6-7 12:38 编辑
你思维开放一些，现在你可以说，洗碗工也有希望成为程序员，只要他逻辑思维能力过硬。
https://youtu.be/C-Lgplmtz3w?si=aFgN14b-L6O1GLcD
AI Killed the Coding Interviews. Here’s What We Built Instead
In the current tech landscape, traditional line-by-line coding tests are fundamentally broken.
Because generative AI models and AI-native coding environments (like Cursor or Claude) can solve standard, whiteboard-style data structures and algorithmic puzzles in fractions of a second, traditional "LeetCode-style" coding tests have lost almost all their value as a hiring signal. A high score on a traditional coding test no longer proves a candidate is an elite software engineer—it just proves they have a second screen open or know how to prompt an LLM.
Because of this, forward-thinking engineering leaders and major tech firms are rapidly abandoning old-school code tests and replacing them with a completely new philosophy of interviewing.
What Has Replaced It in 2026
AI Collaboration Tracking: Giving the candidate an AI-assisted IDE and watching how they prompt, what code they accept, and how they direct the AI to build a system.
Debugging & Code Reading: Handing a candidate 500 lines of AI-generated code that mostly works, and asking them to find the hidden edge cases, architectural flaws, or security vulnerabilities.
System Behavior & Tracing: Presenting messy production logs or a system failure diagram and asking, "Where does this break at scale, and how do we monitor it?" |
|
九月美食活动——一个爱的惊喜--巧克力蛋糕 (2009-9-6) cctang 
发表于 2026-6-3 15:43
