How are teams maintaining signal quality in first-round technical screening?

With the rapid rise of AI coding assistants, candidates can now solve traditional coding assessments more easily — sometimes with significant external help.

This raises a bigger question for hiring teams:

If static coding tests primarily evaluate final output, are they still providing reliable signal in the first round?

We’re seeing growing tension between:

• Scaling early-stage technical screening

• Preserving depth of evaluation

• Avoiding heavy engineer time investment

• Maintaining fairness for candidates

Are teams adjusting their process?
Moving toward live interviews earlier?
Adding behavioral or reasoning components?
Or doubling down on structured assessments?

Curious how others are thinking about this shift.