Why it matters
Generated code can look right and be wrong in ways that only appear in production: an off-by-one boundary, a missing error case, a dependency that does not exist. An engineer who accepts it unread passes those risks to the team.
Heavy use versus over-reliance
| Heavy, careful use | Over-reliance | |
|---|---|---|
| AI-generated share | Can be high | Can be high |
| After accepting | Reads, edits, runs tests | Moves on |
| When the AI is wrong | Notices and fixes or re-prompts | Often does not notice |
| Verdict | A strength | A flag for the interviewer |
How to spot it
- Large accepted blocks with no edits or test runs afterwards.
- Tests that fail after an accepted change and are never rerun.
- Answers in the screen about checking AI output that do not match what the session shows.
How SynergicHire flags over-reliance
Each accepted completion and agent change is attributed and tinted. A block over 280 characters that is accepted and never reviewed or tested raises an over-reliance flag. The verification signal counts edits and test runs within 90 seconds of accepting AI output, and recovery shows what happened when the AI was wrong. The flag is evidence for a person to weigh, not an automatic rejection.
Questions
Is one over-reliance flag disqualifying?
No. It points the interviewer at a specific block to discuss. A person decides what it means.
How is over-reliance different from AI-generated share?
Share measures how much code came from the AI. Over-reliance measures whether accepted code was checked.
Can a candidate avoid flags by typing the code instead?
Retyping is still recorded as editing. What matters for the signal is whether the code was reviewed or tested.