A 49-Component Import Refactor That Took Minutes Instead of an Afternoon
Batch refactoring across dozens of files is exactly the kind of tedious, error-prone work where AI agents outperform manual effort — not by writing clever algorithms, but by handling edge cases systematically and never getting sloppy on the 47th file. The plan-first workflow shown here (scan, map dependencies, surface edge cases, dry-run, execute, verify idempotency) is a repeatable pattern for any codebase migration.
uView Pro's 99 components relied entirely on uni-app's easycom auto-import mechanism, meaning no file contained explicit import statements for its internal dependencies. This broke two workflows: importing a single component without easycom, and renaming the component prefix to avoid conflicts with other libraries. The root cause was simple — templates referenced other components by tag name, but the script setup never declared them.
A TRAE Work agent was given the task in Plan mode. It scanned the directory, built a dependency map for all 49 affected components, and flagged edge cases: HTML comments containing component tags that should be ignored, and nested `<template>` blocks that broke naive regex extraction. The agent produced a Node.js script with dry-run preview and idempotent execution, then ran it to insert 82 import statements across the codebase with zero new type errors.
The entire job — analysis, planning, execution, and verification — completed in minutes. A manual approach would have taken an afternoon of repetitive file-by-file editing, with a high chance of missing dependencies inside nested templates or accidentally importing commented-out code.
AI refactoring tools handle the kind of work that degrades human attention most: repetitive pattern-matching across dozens of near-identical files where the 40th edit is as error-prone as the first.
The plan-first workflow — where the agent produces a reviewable plan file before touching code — shifts the developer's role from executor to reviewer, which is faster and catches mistakes earlier.
Edge cases like commented-out code and nested templates are exactly what make manual refactoring risky; an agent that explicitly surfaces them before execution removes the main source of regressions.
The idempotency check (re-running the script to confirm zero changes) is a simple verification step that manual workflows rarely include but automated ones get for free.