The Gap
After implementing flow testing, teams achieved strong coverage for success paths — but production issues still emerged from untested edge cases. Developers shared feedback like: "Our happy path passed, but a null value crashed production" or "We never tested invalid input types."
Keploy introduced automated edge and negative test generation — expanding coverage beyond happy paths and catching failure cases before they reach production.
What's New
Keploy automatically generates tests for boundary conditions, type mismatches, malformed inputs, and error states — systematically covering failure modes that are easy to overlook manually.
Min/max values, empty strings, zero and large inputs
String ↔ int swaps, null for object, array vs. single value
Malformed JSON, special characters, SQLi & XSS patterns
Missing fields, invalid enums, out-of-range dates, expired tokens
Systematic null injection in required and optional fields
Coverage Comparison
Before
Manual Approach
- 5-10 basic happy path tests
- Few edge or null-handling cases
- Limited invalid input testing
- ~25% coverage of possible failure states
After
With Keploy
- 40+ targeted edge & error tests auto-generated
- Boundary, type, null, and invalid case coverage
- ~95% coverage of potential API failure modes
Why This Matters
Most production incidents come from unhandled edge cases—nulls, invalid inputs, or type errors. Keploy ensures you never have to guess or manually simulate these again: comprehensive failure coverage is automatic.
Granular filters and assertion diffs make debugging faster than ever.
