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Why AI code review produces useful comments while missing authorization, data-contract, and system-level risks, and how to keep humans responsible.
Software-engineering
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Code review antipatterns that slow teams down, with concrete pull request examples, review-risk signals, and a checklist for faster, higher-signal reviews.- Published on
How to detect and fix the N+1 query problem in ORMs with query counts, SQL traces, eager loading, batched IN queries, and request-scoped loaders.- Published on
How excessive production logging buries signal, increases cardinality, distorts incident timelines, and slows debugging in well-instrumented systems.- Published on
How feature flags grow from safe release controls into hidden complexity, and how lifecycle rules, ownership, tests, and cleanup keep them contained.