Gave 6 AI models the same bug. Only 3 got it right.
A developer tested six AI models (ChatGPT, Claude, Gemini, Grok, DeepSeek, and Qwen) by providing them with the same coding bug and asking for a fix. The prompt was identical for all models. After testing the generated code, only three of the six AI models provided a correct and working solution. This experiment raises questions about the reliability of AI-generated code and whether developers should always test it before implementation.
Why this oneThis report uniquely compares the debugging capabilities of six major AI models, revealing that only half provided correct fixes for an identical coding bug.
Time & source
- Published
- 09/08, 17:07 UTC+0
- Ingested
- 09/09, 17:00 UTC+0
- Source type
- Dev community
- Tier
- Community
- Source status
- Healthy
Tier is a per-source editorial setting, not a per-item score.
Discussion trend
The percentage is based on collected discussion signal, not new comments or independent people. The curve only compares the same topic across time.
Tried another little AI test today. I gave ChatGPT, Claude, Gemini, Grok, DeepSeek and Qwen the exact same coding bug and asked them to fix it. I didn't change the prompt. Then I actually tested all six fixes. Only 3 worked properly. Do you guys test AI-generated code before using it, or just trust it if it looks right