Small PRs + Performance Optimization (Precision)
↗
Best for Medium Ruby PRs ↗
Best for Bug Fixes ↗
TypeScript + Correctness ↗
Ruby + Medium PRs (Recall) ↗
Best for UI ↗
Best for Reliability ↗
Best for Concurrency ↗
Ruby + Correctness ↗
Best for Caching ↗
Best for Go ↗
Best for Small PRs ↗
Best for Scheduling ↗
Best for File Context ↗
Best for Security ↗
Security Critical ↗
Best for High Risk ↗
Best for Python ↗
Best for Medium Python PRs ↗
Best for Moderate Bugs ↗
Highest Recall ↗
Best for Authentication ↗
High Risk Auth ↗
Best for Critical Risk ↗
Best for Medium Java PRs ↗
Best for Features ↗
Best for Moderate Code ↗
Best for Complex Code ↗
Complex & Subtle ↗
Best for Correctness ↗
Best for Java ↗
Best for Large PRs ↗
Highest F1 ↗
Best for TypeScript ↗
Best for Subtle Bugs ↗
Best for Cross-File ↗
Best for Medium PRs ↗
Best for Medium Risk ↗
Best for Reliability ↗
Best for Concurrency ↗
Best for Ruby ↗
Tool performance varies by context. Filter and tailor the benchmark
to fit your use case:
Judge Model
Language
PR Size
Domain
+ More...
Code Complexity
Review Difficulty
Risk Level
Context Required
Primary Concern
Show Metrics
CURRENT RESULTS
All Languages
Performance Metrics
#
Tool
Precision (%)
Recall (%)
F1 Score (%)
True Positives
PRs Evaluated
F1 Score by Tool
Repositories Used
The offline benchmark draws from a
diverse set of open-source repositories spanning different
languages,
frameworks, and domains, from infrastructure and observability
tools to web platforms and security projects.
This variety ensures our results reflect
how AI reviewers perform across real-world codebases,
not just one type of software.
