Beyond Correctness: What Makes AI-Generated Code Production Ready?

Today’s LLMs have achieved remarkable code generation capabilities, with many passing coding tests easily. But that only tells part of the story.

To use AI-generated code in production environments, we need to know: are the solutions not just correct, but also efficient and maintainable by humans?

In this on-demand webinar, experts from Codility and CodeScene unveiled groundbreaking research that revolutionizes how we evaluate AI-generated code. We talked about:

• How AI-generated solutions that are technically correct can still fail due to inefficiency, poor maintainability, or complexity that creates technical debt
• How Codility’s COMPASS benchmark evaluates three critical aspects of AI-generated code: correctness, efficiency, and quality
• What our research means for teams using AI coding assistants, including which models show the most consistent performance and reliability