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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?" |
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大洋路归来汇报（新增一组林哈夫617拍的片子） (2009-6-17) sinkai 
发表于 2026-6-3 15:43
