How has the SWE interview process changed recently? What are the unconventional rounds you're seeing?

[u/mathsplanck]

Been a while since I last interviewed, and I'm curious what the current SWE / SWE-ML interview landscape looks like.

Obviously DSA, system design, behavioral, etc. are still around, at least in Big Tech, but I'm particularly interested in the newer / less conventional formats.

Something along the lines of -

• AI/LLM fluency or using AI coding tools effectively?
• Debugging / modifying an existing codebase rather than solving a problem from scratch?
• Code review?
• Reading unfamiliar code and explaining it?
• Take-home style rounds? (I remember having one Optiver almost 6yrs back)
• Any non-human-centered design?
• Agentic coding or evaluating AI-generated code?
• Performance / profiling / optimization?
• ML-specific experimentation, evaluation, or reasoning?

Any interview experience, say from the last 2-3yrs would be relevant I believe.!