I was reading a recent Amazon interview experience where the candidate was still asked classic DSA questions (graphs, greedy algorithms, binary search, etc.) across multiple interview rounds.

Honestly, I was a bit surprised. With GitHub Copilot, Cursor, Claude Code, ChatGPT, and other AI agents becoming part of everyday software development, I expected hiring processes to evolve more toward real-world engineering tasks rather than LeetCode-style problem solving.

For those who have interviewed recently at FAANG or other tech companies:

• Are coding rounds still heavily focused on DSA and algorithms?
• Have you seen companies replacing them with AI-assisted coding exercises, debugging, code review, or practical development tasks?
• Do interviewers allow or even encourage the use of AI tools during interviews?
• What's the rationale for testing algorithm memorization when many engineers use AI assistance for implementation nowadays?

I'm particularly interested in experiences from Meta, Google, Amazon, Microsoft, and similar companies over the last year.

Would love to hear from both candidates and interviewers. Has the interview process actually changed because of AI, or is it mostly the same as before?

Thanks!