JoyFrontBench: Evaluating Front-End Coding Agents through Goal-Oriented Acceptance Contracts
Story 16, from arXiv
JoyFrontBench is a new benchmark for evaluating front-end coding agents, using goal-oriented acceptance contracts to distinguish between partial implementation and full application success.
Key points
- JoyFrontBench introduces goal-oriented acceptance contracts to evaluate front-end coding agents.
- The benchmark includes 100 problems, 764 tasks, and 2,596 atomic criteria with annotated user goals.
- Evaluation combines evidence-based judgments with deterministic scoring rules for graded task assessment.
- Five models were tested on a 70-problem test set, showing a mean ATS of 87.69% and ASR of 51.52% under OpenHands.
- Results show variability in model rankings and application success across different harnesses and runs.
Why it matters
This benchmark provides a more rigorous way to assess front-end coding agents by focusing on both task performance and actual application success, which is critical for engineering tools that generate real-world code.
Counterpoint
The benchmark's reliance on fixed scoring rules and deterministic auditing may not fully capture the dynamic and context-dependent nature of real-world coding tasks.
Sources
- JoyFrontBench: Evaluating Front-End Coding Agents through Goal-Oriented Acceptance Contracts (arXiv)
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