Agent
Evaluates code for WCAG compliance, ARIA attributes, keyboard navigation, screen reader support, color contrast, semantic HTML, and inclusive design patterns.
MCP server with specialized judges to evaluate AI-generated code for security, cost, scalability, cloud readiness, and best practices.
Agent
Evaluates code for WCAG compliance, ARIA attributes, keyboard navigation, screen reader support, color contrast, semantic HTML, and inclusive design patterns.
Agent
Evaluates instruction markdown files for clarity, hierarchy, conflict risk, safety policy coverage, and operational guidance for AI coding agents.
Agent
Evaluates code for risks specifically common in AI-generated code — prompt injection, unsanitised LLM output, hallucinated patterns, debug-mode defaults, missing input validation, overly broad permissions, and insecure-by-default configurations.
Agent
Evaluates API endpoint implementations for contract conformance: input validation, proper status codes, error handling, rate limiting, versioning, and content-type management.
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Evaluates API design for RESTful conventions, naming consistency, proper HTTP status codes, versioning, pagination, error contract consistency, and backward compatibility.
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Evaluates code for proper authentication mechanisms, authorization checks, session management, token handling, and access control patterns.
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Evaluates code for breaking changes, API versioning strategy, deprecation practices, and migration path planning that affect consumers and integrators.
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Evaluates code for caching strategy, cache invalidation, TTL configuration, cache stampede prevention, and HTTP caching headers.
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Evaluates code for CI/CD readiness, build reproducibility, deployment safety, pipeline configuration, and release management practices.
Agent
Evaluates code for cloud-native patterns, 12-factor app compliance, containerization readiness, infrastructure as code, observability, and CI/CD maturity.
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Uses AST parsing (TypeScript compiler for JS/TS, scope-tracking parser for Python/Rust/Go/Java/C#) to evaluate cyclomatic complexity, nesting depth, function length, parameter count, dead code, and type-safety — metrics that regex alone cannot reliably measure.
Agent
Evaluates code for OSS license compatibility, audit logging, SOC 2 controls, export controls, data residency, retention policies, and regulatory readiness.
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Evaluates code for race conditions, deadlocks, atomic operations, lock contention, shared mutable state, and async error propagation.
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Evaluates code for proper externalization of configuration, secrets management, environment-based config switching, and feature flag implementation.
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Evaluates code for unnecessary resource consumption, inefficient algorithms, wasteful cloud resource usage, and opportunities for cost optimization.
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Evaluates code for vulnerability to attacks (injection, XSS, CSRF, SSRF), authentication/authorization flaws, dependency vulnerabilities, and adherence to OWASP Top 10.
Agent
Evaluates code for data protection, encryption practices, PII handling, data-at-rest/in-transit security, access controls, and compliance with data privacy regulations (GDPR, CCPA, HIPAA).
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Evaluates code for data residency enforcement, cross-border transfer controls, jurisdiction-aware data handling, vendor independence (technological sovereignty), and operational self-governance (audit trails, resilience, data portability).
Agent
Evaluates code for query efficiency, connection management, migration practices, schema design, and database access patterns that affect performance and reliability.
Agent
Evaluates code for abandoned packages, license risks, transitive vulnerability depth, dependency count bloat, lockfile hygiene, and update freshness.
Agent
Evaluates code for README quality, inline documentation coverage, API reference completeness, example code, changelog, and onboarding developer experience.
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Evaluates code for consistent error handling, meaningful error messages, graceful degradation, and proper use of error boundaries and recovery strategies.
Agent
Evaluates code for model bias indicators, fairness metrics, explainability, data representativeness, consent handling, and human-in-the-loop safeguards.
Agent
Meta-judge that reviews pattern-based findings from all other judges to identify and dismiss false positives. Provides expert criteria for recognizing common static analysis FP patterns including string literal context, comment/docstring matches, test scaffolding, IaC template gating, and identifier-keyword collisions.