Memory leak tests for agent-generated services

Memory leak testing for agent-generated services uses repeatable, bounded workloads and explicit memory budgets to identify retained memory that functional tests may miss, often caused by listeners, timers, caches, closures, queues, or request objects that are not cleaned up. Effective tests warm up the service, run equivalent workload batches under stable conditions, release references, collect memory metrics after each batch, and evaluate both absolute growth and post-warm-up trends in heap usage and resident set size. Heap snapshots can help trace persistent objects to their retaining paths, but should be collected in isolated processes because they may block execution, require substantial memory, and contain sensitive application data. Teams should give coding agents precise acceptance criteria, including workloads, metrics, thresholds, garbage-collection permissions, and timeouts, and require them to report commands and measurements rather than general assurances. Suspected failures should be repeated to distinguish consistent retention patterns from environmental noise, while CI should retain compact measurements and securely restrict access to full diagnostic artifacts.

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