URL rewrite engines are exactly the kind of structured coding task AI handles cleanly.

The task is structurally identical every time: parse CSV, apply regex patterns, validate mappings, emit config. There is no judgment variation between runs — the logic is deterministic given the input data.

Success criteria are concrete: every legacy URL maps to a valid canonical URL, the output is a syntactically correct next.config.js rewrite block, and validation catches unmapped or malformed entries. A non-human can verify all three programmatically.

The agent needs only the CSV file and knowledge of the Next.js rewrite config schema — both are standard and accessible. No live APIs, credentials, or external systems are required to produce the artifact.

A broken rewrite config could cause 404s or redirect loops in production, which is a real but reversible problem — the old config can be restored and the output should be reviewed before deployment. The validation step the task requests mitigates most risk.

Pattern matching and config generation require no taste, ethics, or relationship context. The only human input needed is a final review of edge cases flagged by the validation output before pushing to production.