FrontierCode
An evaluation benchmark for measuring the end-to-end delivery capability of AI systems on real-world software engineering tasks. It assesses AI assistant performance within actual development workflows rather than focusing solely on code completion accuracy.
Core Facts
FrontierCode 1.1 is an evaluation benchmark for AI programming capabilities that simulates real software engineering tasks, including scenarios such as code completion, bug fixing, multi-file refactoring, and unit test generation.
FrontierCode is an evaluation benchmark for AI models' programming capabilities focusing on real engineering tasks rather than simple algorithm problems
Timeline (last 90 days)
FrontierCode benchmark results from different versions or different sampling strategies (such as pass@1 and pass@k) cannot be directly compared across the board.
Cross-institution benchmark numbers should be compared with caution due to differences in testing conditions (temperature parameters, pass@k settings, etc.).
FrontierCode is closer to the complexity of production environments compared to single-function completion benchmarks such as HumanEval or MBPP.
On the FrontierCode benchmark, the Fusion harness matches the performance of Fable 5.1 while reducing costs by 47%
FrontierCode 1.1 is an evaluation benchmark for AI programming capabilities that simulates real software engineering tasks, including scenarios such as code completion, bug fixing, multi-file refactoring, and unit test generation.
Constructing a single evaluation question in FrontierCode requires an expert investment of more than 40 hours of work.
Cognition has launched an AI evaluation benchmark called FrontierCode.
FrontierCode is an evaluation benchmark for AI models' programming capabilities focusing on real engineering tasks rather than simple algorithm problems
FrontierCode places greater emphasis on a model's ability to function as an autonomous Agent compared to benchmarks like HumanEval and SWE-bench
All Facts (8)
FrontierCode 1.1 is an evaluation benchmark for AI programming capabilities that simulates real software engineering tasks, including scenarios such as code completion, bug fixing, multi-file refactoring, and unit test generation.
65%VerifiedFrontierCode is an evaluation benchmark for AI models' programming capabilities focusing on real engineering tasks rather than simple algorithm problems
65%UnverifiedFrontierCode places greater emphasis on a model's ability to function as an autonomous Agent compared to benchmarks like HumanEval and SWE-bench
70%UnverifiedFrontierCode benchmark results from different versions or different sampling strategies (such as pass@1 and pass@k) cannot be directly compared across the board.
50%UnverifiedFrontierCode is closer to the complexity of production environments compared to single-function completion benchmarks such as HumanEval or MBPP.
50%UnverifiedCross-institution benchmark numbers should be compared with caution due to differences in testing conditions (temperature parameters, pass@k settings, etc.).
50%UnverifiedConstructing a single evaluation question in FrontierCode requires an expert investment of more than 40 hours of work.
50%UnverifiedCognition has launched an AI evaluation benchmark called FrontierCode.
50%