VCC Benchmark

VCC Benchmark is our community’s benchmark that compares the ability of different LLMs to work with code.

[!NOTE] This is the implementation plan for our community benchmark. You can participate in its development and receive a reward in the community cryptocurrency – VCC.

Goals of VCC Benchmark

1. Functional Accuracy. The benchmark focuses on verifying the fundamental quality of generated code. Each stage of the iterative process is accompanied by a set of tests that ensure the generated code correctly performs the given tasks.
2. Progressive Thinking and Consistent Reasoning. Using the “self-invoking code generation” approach, VCC Benchmark evaluates the ability of models to maintain context and logical consistency between iterations. This allows us to assess how effectively AI can construct complex solutions based on previously generated components.
3. Alignment with Real-World Development Scenarios. The benchmark is designed around practical tasks closely resembling real-world software development scenarios, such as generating REST API services or creating database structures based on textual descriptions. This approach not only measures basic functionality but also evaluates the practical applicability of the model in real development environments.
4. Transparency and Community Involvement. The open architecture of VCC Benchmark allows every community member to run tests, analyze results, and contribute suggestions for improving the methodology. This fosters a dynamic ecosystem where knowledge-sharing and collaboration become integral parts of community growth.