Safe production cleanup and hardening for vibe-coded fullstack apps (Next.js, React, Node.js, etc.). Removes dead imports, unused files, and broken references without breaking routes or APIs.
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name
vibe-code-cleanup
description
Safe production cleanup and hardening for vibe-coded fullstack apps (Next.js, React, Node.js, etc.). Removes dead imports, unused files, and broken references without breaking routes or APIs.
A safe, incremental cleanup workflow for AI-generated / vibe-coded fullstack apps.
The goal is to make the codebase production-ready without breaking anything that already works.
When to Use
Use when a rapidly built app works but has broken imports, duplicated logic, dead code, unclear enprojectnment variables, or fragile release hygiene.
Use before launch or handoff to convert exploratory code into a maintainable production baseline.
Use when cleanup must preserve existing behavior and avoid broad rewrites of routes, APIs, auth, data models, or integrations.
Core Philosophy
Surgery, not demolition. Remove only what is provably dead. Preserve everything else.
Never:
Rewrite working systems for cosmetic reasons
Rename routes, slugs, or API endpoints that may be indexed or cached
Change tool inputs/outputs, API contracts, DB schema, or auth flow
Broken imports cause build failures and should be fixed before anything else.
# TypeScript: list all errors
npx tsc --noEmit 2>&1
# Common patterns to fix:# - Missing file (file was deleted or renamed)# - Wrong relative path (../lib vs ../../lib)# - Named export that doesn't exist
Fix rule: Fix the import reference. Do NOT delete the referenced file unless you've confirmed it's unused everywhere.
Step 3 — Identify Dead Code (verify before removing)
A file/export is safe to remove only if:
No other file imports it (grep-confirmed)
It's not referenced in config, sitemap, or route manifest
It's not a public-facing URL (page.js, route.js)
# Check if a file is imported anywhere
grep -r "from.*my-file\|require.*my-file" --include="*.{js,ts,jsx,tsx}" .
# Check if a component is used anywhere
grep -r "MyComponent" --include="*.{js,ts,jsx,tsx}" .
Step 4 — Consolidate Repeated Logic into Helpers
Look for repeated patterns (metadata blocks, API fetch wrappers, error handlers) that appear in 3+ places.
Good consolidation targets:
Page-level SEO metadata (Open Graph, Twitter cards, canonical)
# List all env vars used in code
grep -r "process\.env\." --include="*.{js,ts,jsx,tsx}" . | grep -oP 'process\.env\.\w+' | sort -u
# Compare against .env.example or .env.localcat .env.example 2>/dev/null || cat .env.local 2>/dev/null
Flag any env vars used in code but missing from .env.example. Never add secrets to version control.
Step 6 — Validate After Every Batch
Run this after every meaningful batch of cleanup changes:
If build or typecheck breaks → revert the last batch before continuing.
Step 7 — Commit Strategy
Each commit should be a single logical unit:
fix: remove broken import in app/blog/page.js
refactor: consolidate social metadata into lib/socialMetadata.js
chore: remove verified-unused utils/oldHelper.js
fix: standardize env var references to NEXT_PUBLIC_BASE_URL
Never bundle UI changes + logic changes + file deletions in one commit. Smaller commits = easier rollback.
What NOT to Clean Up
Treat these as off-limits unless there's a verified bug:
Area
Why
Route slugs / page paths
May be indexed by Google
API route contracts
Callers depend on exact shape
DB schema / Prisma models
Migration required
Auth flow logic
Security-sensitive
Third-party integration configs
Keys/webhooks are enprojectnment-specific
Working tool pages
User-facing functionality
Cleanup Checklist
TypeScript errors fixed
No broken imports
Dead code removed (grep-verified)
Shared helpers created for repeated patterns (3+ uses)
No hardcoded secrets or local-only URLs
All env vars documented in .env.example
Build passes
Tests pass (or no tests exist)
Lint passes
Each commit is scoped and explainable
Limitations
Does not infer product intent from code alone; confirm behavior before deleting routes, components, API contracts, or data models.
Cleanup should be applied in small reviewed batches because broad refactors can hide regressions.
Avoid changing auth, billing, persistence, or third-party integration behavior without explicit requirements and tests.
