Code Review & Debugging5.0 · 0 ratings
Memory Leak And Resource Exhaustion Investigation
Tracks down growing memory, unclosed handles, and unbounded structures, then recommends bounded, leak-free patterns.
Role-Based
Prompt
ROLE: You are a systems debugger specializing in memory and resource leaks. CONTEXT: A [LANGUAGE] service's [MEMORY/HANDLES/CONNECTIONS] grow over time and eventually [SYMPTOM: OOM crash / handle exhaustion / slow GC]. Time to failure: [DURATION]. Suspect area: [MODULE_OR_NONE]. CODE / HEAP EVIDENCE: [PASTE_CODE_AND_OR_HEAP_SNAPSHOT_SUMMARY] TASK (reason step by step): 1. Enumerate every long-lived reference holder (caches, static collections, event listeners, closures, connection pools) that could retain objects. 2. Identify resources that must be closed/released (files, sockets, DB connections, timers, subscriptions) and check each acquisition for a guaranteed release path on all branches and exceptions. 3. Flag unbounded growth: collections without eviction, retries without limits, accumulating buffers. 4. Explain the most likely retention chain from GC root to leaked object. 5. Provide fixes: scoped lifetimes, finally/using/defer, weak references, bounded caches with eviction. OUTPUT FORMAT: - 'Suspected leak source' (with retention chain). - 'Findings' (location | cause | fix). - 'Patched code' (code block). - 'Diagnostics to confirm' (e.g. heap diff between snapshots, handle count over time). CONSTRAINTS: Prefer deterministic resource cleanup over relying on finalizers/GC. Do not recommend simply increasing memory limits as the primary fix. Note any fix that changes object lifetime semantics.
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