⚡ Bolt: [performance improvement] Replace eager Map allocation with loop in Cache Engine

[LeanBitLab]

💡 What:

Replaced the declarative collection operators store.filter { ... }.minByOrNull { ... } inside the trimToCapacity() while loop with a highly optimized, zero-allocation for loop.

🎯 Why:

In Kotlin, Map.filter is an eager operation that allocates an entire new LinkedHashMap and copies over the matching entries. Because this was happening inside a while (store.size > target) loop, evicting 100 items from a 500-item cache would result in 100 separate Map allocations and deep copies of increasingly smaller subsets of the cache. This was creating an O(N) memory allocation pattern per eviction, triggering massive Garbage Collector overhead and potential UI stutters on older Android devices.

📊 Impact:

• Reduces temporary object allocation by 100% during cache eviction.
• Reduces GC pressure, preventing memory spikes when large videos hit the memory limits.
• Eliminates the O(N) Map-copying overhead inside the O(K) eviction loop.

🔬 Measurement:

To verify the impact, run a memory profiler during heavy, rapid scrolling through complex media feeds. The "Memory Churn" graph will show significantly flatter memory usage when the AdaptiveCacheEngine initiates its capacity cleanup routines, with zero large allocations tied to LinkedHashMap creation.

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PR created automatically by Jules for task 9758953679028254929 started by @LeanBitLab

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