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---
name: bulk-refactor-workflow
description: Use when renaming symbols, migrating APIs, or applying safe mechanical changes across many files in the repository.
---
# Bulk Refactor Workflow(批量重构 / 大范围修改)
## Overview
Guide repository-wide mechanical edits without losing scope control or damaging
unrelated work. Core principle: enumerate first, transform mechanically, verify
in loops, and keep every batch auditable.
## When to Use
- Rename APIs, symbols, file conventions, or repeated string patterns
- Apply scripted or structural edits across many files
- Migrate callers to a new interface where the change pattern is repeatable
## When Not to Use
- One-off logic changes where no repeatable transformation exists
- Exploratory redesign or feature work that needs new architecture decisions
- Cleanup that is only formatting/lint alignment; use `style-cleanup` directly
## Inputs
- Scope: directories, file types, include/exclude rules
- Transformation: rename, replace, codemod, scripted edit, migration strategy
- Constraints: behavior-preserving vs. compatibility window vs. staged rollout
- Verification commands: smallest useful loop plus final gate
## Procedure
1. **Baseline and bound the scope**
- Record `git status --short`.
- Dirty worktrees are allowed.
- Do not revert unrelated changes.
- Mark the exact target file set before editing.
- Run a baseline verification command so existing failures are not misattributed
to the refactor.
2. **Enumerate every intended hit**
- Search before editing with `rg`, `git grep`, or a structured query.
- Separate real code hits from comments, docs, generated files, and samples.
- Write down exclusions before running the transformation.
3. **Choose the safest mechanical transform**
- Prefer deterministic transforms: codemods, scripts, structured edits, or
narrow search/replace with explicit scope.
- If compatibility matters, use a staged migration: adapt providers first,
migrate callers second, remove compatibility layer last.
4. **Apply in bounded batches**
- First, apply the transformation in bounded batches.
- Verify each batch before widening scope.
- Stop immediately if output differs from the expected hit class.
5. **Verify in loops**
- Run the smallest relevant verification after each batch.
- Re-check the hit list after edits to confirm the intended pattern is gone and
unintended patterns were not introduced.
6. **Finish with targeted cleanup**
- If the mechanical change leaves formatting or lint fallout, Use `style-cleanup` for the final formatting/lint pass.
- Keep that cleanup scoped to the refactor set unless the user approves a wider
pass.
7. **Report**
- Summarize files touched, transform rules used, verification evidence, and any
residual risk.
## Output Contract
- `Scope:` files, directories, and exclusions actually used
- `Transformation:` exact rule or script applied
- `Batches:` how the work was partitioned
- `Verification:` commands, exit status, and what each loop proved
- `Risks:` remaining ambiguous areas, compatibility debt, or deferred cleanup
## Success Criteria
- Every changed file belongs to the declared scope
- The transformation is reproducible and explainable
- Verification passes at both batch level and final gate
- Unrelated work in the repository is preserved
## Failure Handling
- If the hit list is ambiguous, stop and refine scope before editing
- If the transform cannot be expressed mechanically, downgrade to a normal
refactor plan instead of pretending it is safe bulk work
- If verification fails mid-batch, stop, inspect the smallest failing delta, and
correct the transform before continuing
- If compatibility risk is higher than expected, split the migration into staged
commits or phases
## Guardrails
- Never run repository-wide replacement without an explicit hit review
- Never mix unrelated cleanup into the same batch
- Never hide a large-scope behavior change behind the label "mechanical refactor"