Search Worked Locally but Failed in Production
A search feature worked perfectly on local data but failed in production because matching was case-sensitive in one environment and inconsistent in real records.
Search looked perfect during development, but production users said results were missing unless they typed the exact same casing. Example: Searching for: john did not return: John
The search logic was written with assumptions based on clean local test data. In production, real records had mixed casing: John JOHN joHn The comparison logic was inconsistent, so matches were skipped.
Fix:
Normalize both sides before comparison.
Example:
value.toLowerCase().includes(search.toLowerCase())
For database queries, use a case-insensitive approach that matches your stack properly.
Lesson:
If your feature depends on text matching, always test with dirty real-world data:
- mixed case
- extra spaces
- null values
- unexpected formatting
A feature is not truly working until it survives messy production data.
More Bug of the Days
API Returns Cached Data Even After Update
Your API returns old data even after updating records due to caching issues in browser, CDN, or server.
🐛Pagination Worked… Until Data Changed
Pagination broke in production because page numbers were used instead of stable identifiers.
🐛API Working in Postman but Failing in Browser
API works in Postman but fails in browser due to missing CORS configuration.
Get a new Bug of the Day in your inbox
Subscribe to Stack Dev Life — free, no spam, unsubscribe anytime.
Subscribe free →