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\n Last week, I spent six hours chasing a ghost in our payment gateway integration. The API returned a 200 OK status, yet the transaction failed silently. My code assumed success based on the status code and moved on, only to discover later that the response body contained an error message buried under a success: false flag. The API wasn\u2019t broken\u2014it was my assumptions that were flawed. I\u2019d treated the integration like a black box, trusting surface-level signals instead of validating the entire payload. <\/p>\n
The fix was simple once I found it: I added strict validation for both status codes and response data, logging every field to catch discrepancies early. Now, I treat all API responses like potential liars\u2014checking for hidden errors, rate limits, and unexpected formats, even when everything looks fine on the surface. This experience taught me that defensive programming isn\u2019t paranoia; it\u2019s preparation. APIs are complex ecosystems, and the most “reliable” ones can still surprise you. Always read the fine print in their documentation, and never assume a 200 means everything is okay.<\/p>\n