YSK: AI-generated code can pass tests and still fail in…
1 reactions
YSK: AI-generated code can pass tests and still fail in real-world use.
Why YSK: that code generated with AI can look correct, run without errors, and even pass basic tests…
but still break in real-world scenarios.
why this happens:
• edge cases aren’t fully handled
• assumptions about inputs are too narrow
• logic works for “expected” paths but not unexpected ones
i’ve seen cases where everything worked during testing…
but once real users interacted with it, issues started appearing.
the code wasn’t wrong it was just incomplete for real-world conditions.
AI is great for speeding things up,
but it’s still important to:
• test edge cases
• validate inputs
• understand the logic before using it
basically treat AI as a helper, not a final solution.
#education
Why YSK: that code generated with AI can look correct, run without errors, and even pass basic tests…
but still break in real-world scenarios.
why this happens:
• edge cases aren’t fully handled
• assumptions about inputs are too narrow
• logic works for “expected” paths but not unexpected ones
i’ve seen cases where everything worked during testing…
but once real users interacted with it, issues started appearing.
the code wasn’t wrong it was just incomplete for real-world conditions.
AI is great for speeding things up,
but it’s still important to:
• test edge cases
• validate inputs
• understand the logic before using it
basically treat AI as a helper, not a final solution.
#education
1
| 3,000 mlx | |
| 2 | |
| 1 |