AI Hiring Insights
5 Signs Your Coding Interviews Are Stuck in 2019
Great candidates are dropping from legacy loops because those loops no longer represent day-to-day software work. Here are five warning signs your process needs a reset.
1) LeetCode grind dominates the signal
If candidates spend hundreds of hours preparing puzzle patterns, you are often measuring prep bandwidth, not engineering impact. AI models solve many medium and hard prompts quickly, reducing the value of pure puzzle recall.
2) Take-home ghosting is high
Long offline assignments create drop-off and slow hiring velocity. Teams switching to realistic, AI-allowed live sessions typically see stronger completion and better candidate sentiment.
3) Your process over-indexes on age-correlated trivia
DSA speed can favor recent grind cycles and penalize experienced engineers who spend their time on architecture, reliability, and cross-team delivery.
4) AI is banned despite being used in real work
If production engineers use Copilot and Claude daily, banning those tools in interviews evaluates a fictional workflow.
5) You only score correctness, not engineering behavior
Modern loops should score prompt clarity, model output validation, debugging depth, and communication of tradeoffs. These are stronger predictors than final answer correctness alone.