Reviewing Large AI-Generated Diffs Effectively
Line-by-line reading misses the architectural failures that make AI-generated code dangerous.
Marcus Hjelm
Staff Writer
Marcus spent five years building internal developer tooling at a large e-commerce platform before shifting to reporting on the infrastructure layer where AI agents meet real engineering workflows. He is particularly interested in how orchestration patterns break down at scale.
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Line-by-line reading misses the architectural failures that make AI-generated code dangerous.