Hard

Concurrent Eviction Cache AI-Assisted Coding Interview

Implement a bounded cache with recency-based eviction, then reason through thread safety, race conditions, and production hardening.

Mock Interview with AI

1. Problem Statement

Implement a bounded least-recently-used cache, then explain how you would make its compound operations safe under concurrent access.

2. Live Coding Format

Work in the provided coding workspace while explaining your decisions to the live interviewer. Validation may use inline tests, examples, comments, or a verbal walkthrough.

3. Key Focus Areas

1
Core cache invariants
2
Data-structure choice
3
Race-condition analysis
4
Synchronization tradeoffs
5
Productionization

4. What Strong Candidates Should Demonstrate

✓Pair a lookup structure with explicit recency tracking.
✓Identify compound operations that require synchronization.
✓Use AI suggestions without outsourcing concurrency judgment.

Want interactive feedback?

Practice this problem in the live coding workspace while the interviewer probes your clarification, implementation, trade-offs, and validation.

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Core Concepts

LRU CacheData StructuresConcurrencyProduction Readiness