The operational challenge
AI-generated software can look convincing while still failing important requirements. Simple demonstrations were not enough to distinguish plausible output from code that actually behaved correctly.
Applied AI
Testing whether AI-generated software actually works
Realistic software-engineering tasks and evaluation methods designed to reveal whether AI-generated solutions are genuinely correct.
More reliable assessment of AI-generated code.What the solution had to respect
Plausible-looking output could not be treated as correct; the evaluation needed reproducible tasks and explicit pass criteria.
How the change was approached
The evaluation used realistic software-engineering tasks and explicit assessment methods designed to test correctness rather than presentation alone.
The concrete outcome
The resulting process made it easier to identify whether an AI-generated solution genuinely worked and to compare outputs using more dependable evidence.