Normalize every term
Each term is stripped of casing and separators down to its bare word sequence, so userId, user_id, and "user id" collapse to the same concept for comparison.
TERMINOLOGY CONSISTENCY SCAN
Naming Consistency Reviewer
Paste identifiers, labels, or terms pulled from your code, UI copy, and docs to find inconsistent casing, synonyms, and naming pattern drift before an AI coding tool compounds them.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
Cluster same-concept terms
Terms that normalize to the same concept but are still spelled differently are grouped — each group is a naming inconsistency the codebase is carrying.
Score casing spread and convention drift
The scan counts how many distinct casing styles are present and, if you named an intended convention, how many terms don't match it.
Continue learning: Architecture decisions AI tools should not make · How AI coding tools invent fake packages
Frequently asked questions
Does this tool read my actual codebase?
No. It works entirely on the terms you paste in — nothing is uploaded or scanned automatically. Copy the identifiers, labels, or field names you want checked from your editor, UI copy, or API docs.
What counts as the same concept?
Terms that reduce to the same lowercase word sequence once casing and separators are removed — userId and user_id both become "user id". Genuine synonyms with different words, like customer vs client, are not automatically detected; review the list for those manually.
Why does casing style matter if the names are otherwise consistent?
Mixed casing (camelCase next to snake_case) is exactly the kind of inconsistency an AI coding tool tends to copy and extend, producing more variants over time rather than converging on one.
What if I don't have a fixed naming convention yet?
Choose "No fixed convention yet" and the scan skips the convention-drift check, scoring only on same-concept clusters and casing-style spread.
Is a score of 100 required before shipping?
No. Some spread is normal across code, UI copy, and docs (a field name and its display label rarely match exactly). Use the score to prioritise the worst clusters, not as a hard gate.
How We Compare
| Feature | MVPHub | GitHub Copilot | Cursor |
|---|---|---|---|
| Focused input-based assessment | Included | Limited | Limited |
| Transparent calculation | Included | Limited | Limited |
| No repository access required | Included | Limited | Limited |
| Workflow-specific next steps | Included | Limited | Limited |
GitHub Copilot and Cursor can rename or refactor identifiers when asked inside an editor session. MVPHub instead applies a visible, repeatable naming-consistency check across pasted terms without needing repository access.
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