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Designs search and filtering with controlled query contracts, indexing, pagination, ranking, and operational limits.
Designs plan entitlements, provider webhooks, idempotent billing updates, access checks, grace periods, and support overrides.
Designs a controlled support impersonation workflow with scoped access, approvals, visible banners, audit trails, and session boundaries.
Designs membership, role changes, removal, ownership transfer, and permission updates without weakening tenant boundaries.
Uses unique namespaces and correctly scoped fixtures so parallel tests improve speed without creating collisions.
Designs an invitation workflow with token security, expiry, membership creation, email delivery, and replay-safe onboarding.
Designs a settings service with defaults, validation, scoped preferences, caching, and safe rollout of new settings.
Explains hot-key behavior, traffic concentration, partition pressure, payload size, and mitigation options.
Treats flakiness as an observable defect in timing, state, order, infrastructure, or product behavior.
Diagnoses hidden per-row EF Core queries and replaces them with a bounded query shape without creating an oversized join.
Investigate a production API slowdown caused by blocking async calls, thread-pool pressure, and dependency waits.
Explains a telemetry-driven path from slow endpoint symptoms to database, cache, dependency, CPU, or payload root cause.
Investigate a slow API by checking database queries, blocking async, dependency latency, serialization, logging, and runtime pressure.
Pairs a bounded isolated reproduction with telemetry and a disposal fix for leaked database connections.
Collects a bounded EventPipe CPU trace and reads stack evidence without confusing hot methods, blocked time, native work, or sampling artifacts.
Explains how hash-based collections use hash codes and equality, then chooses Dictionary or HashSet from the value the program needs to store.
Decide whether Azure SQL errors are transient platform faults or a real application/query regression.
Explains command messages versus event messages and how ownership changes their design.
Builds deterministic images efficiently by controlling context, restore layers, dependency inputs, and cache invalidation.
Uses Compose for reproducible local dependencies while preserving fast inner loops, realistic readiness, and clear differences from production orchestration.
Diagnoses thread-unsafe scoped dependencies inside parallel execution and redesigns the data boundary without exhausting shared resources.
Investigate and fix an API where client retries create duplicate orders, payments, or records.
Explains EF Core projections into DTOs with practical .NET data-access examples and production trade-offs.
Explains raw SQL in EF Core with practical .NET data-access examples and production trade-offs.