Repeatability
Medium
Memory leak debugging follows recognizable patterns (connection lifecycle, reference cycles, unbounded collections), but the specific root cause varies per codebase and runtime environment. Each instance requires fresh investigation rather than a templated solution.
Ambiguity Tolerance
Medium
The success criterion — stable 24+ hour uptime without memory growth or connection drops — is concrete and testable. However, identifying the exact leak source before a fix is applied is inherently ambiguous without runtime profiling data.
Data & Tool Availability
Low
The agent needs the full codebase, runtime memory profiles (e.g., tracemalloc, memray output), server logs, and ideally a reproducible test environment. In most setups, the agent won't have live access to production metrics or the ability to run load tests to verify the fix.
Error Cost
High
A bad fix deployed to a production WebSocket server serving 500+ concurrent users could cause immediate outages, data loss, or cascading failures. Rollback is possible but the blast radius during an incident is real and costly.
Human Judgment Required
Medium
Interpreting ambiguous profiler output, deciding which tradeoffs to accept in cleanup logic, and making the call to deploy to production all benefit from experienced human judgment. The coding mechanics are within AI capability, but the diagnostic and deployment decisions are not.