AI Analysis
Discover how sicua’s AI-powered analysis transforms your codebase by identifying and fixing the most critical issues in your React/Next.js project.
Our AI system analyzes your entire codebase and focuses on the top 20 most problematic components that need immediate attention, using relative scoring within your project context.
Analysis Flow
How Components Are Scored
Our scoring system uses 18 different metrics to identify the most problematic components in your project. The scoring is relative to your codebase - meaning a score of 80+ indicates this component is among the most complex in your specific project.
Scoring Weights
| Impact Level | Category | Weight | Focus |
|---|---|---|---|
| High (50%) | Architectural Complexity | 12% | Cyclomatic & Cognitive Complexity |
| 12% | Component Coupling | ||
| 10% | Maintainability Index | ||
| 8% | React-Specific Patterns | ||
| 8% | Container Complexity | ||
| Medium (35%) | Code Quality | 12% | Error Handling Gaps |
| 8% | Type Safety Issues | ||
| 8% | Component Flow Complexity | ||
| 4% | Dead Code Detection | ||
| 3% | Circular Dependencies | ||
| Lower (15%) | Surface Issues | 4% | Translation Issues |
| 3% | SEO Problems | ||
| 3% | Accessibility Issues | ||
| 2% | Performance Issues | ||
| 2% | Code Duplication | ||
| 1% | Magic Numbers |
Smart Filtering: Utility functions, hooks, constants, and type files are automatically filtered out or scored differently to focus on actual React components.
Score Interpretation
| Score Range | Meaning | Action Required |
|---|---|---|
| 80-100 | Most complex components in your project | Immediate attention needed |
| 60-79 | Above average complexity | Should be prioritized |
| 40-59 | Average complexity for your project | Address when possible |
| 20-39 | Below average complexity | Minor improvements |
| 0-19 | Simplest components | Well-maintained |
Data Aggregation Process
After identifying the top 20 components, our system prepares them for AI analysis through:
🎯 Smart Component Selection
- Filters components based on AI token budget constraints
- Prioritizes route components (pages/layouts) and shared components
- Optimizes selection for maximum analytical impact
🔗 Context Enrichment
- Maps component relationships and dependencies
- Identifies circular dependencies and architectural issues
- Extracts error patterns, performance metrics, and SEO data
📦 AI-Ready Package Creation
- Structures data for optimal AI processing
- Maintains comprehensive context while respecting token limits
- Provides detailed reasoning for component selection
AI Agent Specialists
Once the data is prepared, it flows through our specialized AI agents, each focusing on different aspects of code quality:
Code Analyzer
Creates specialized work packages and coordinates the analysis workflow for all subsequent agents.
Architecture Agent
Component Structure & Dependencies
- Breaks down large, complex components that do too much
- Resolves circular dependencies and tight coupling between components
- Separates UI logic from business logic and data fetching
- Applies design patterns (Facade, Composition, Dependency Injection) to improve maintainability and testability
Error Agent
Error Handling & Recovery
- Implements error boundaries to prevent app crashes and provide fallback UI
- Adds proper try-catch blocks for async operations (API calls, file uploads)
- Creates comprehensive error states with user-friendly messages and retry mechanisms
- Establishes error logging and monitoring for debugging and issue tracking
Performance Agent
Bundle & Rendering Optimization
- Reduces bundle size through dynamic imports and code splitting strategies
- Implements React.memo, useMemo, and useCallback to prevent unnecessary re-renders
- Converts regular images to Next.js Image components for automatic optimization
- Replaces heavy library imports with lighter alternatives and specific imports
SEO Agent
Search Engine & Core Web Vitals Optimization
- Implements comprehensive meta tags, Open Graph data, and structured markup for better search visibility
- Converts regular images to Next.js Image components and optimizes third-party scripts for improved Core Web Vitals
- Enhances accessibility with proper semantic HTML, ARIA labels, and heading hierarchy
- Adds JSON-LD structured data for rich snippets and better search engine understanding
Type Agent
TypeScript Type Safety & System Optimization
- Eliminates ‘any’ types and replaces them with specific, well-defined interfaces
- Consolidates duplicate type definitions and implements reusable generic types
- Adds comprehensive prop type definitions and return type annotations
- Creates type utilities and simplifies complex union types for better developer experience
Composer Agent
Results Consolidation & Prioritization
- Consolidates all fixes from the 5 specialized agents into a unified list
- Prioritizes fixes using impact vs. effort analysis (HIGH/MEDIUM/LOW priority levels)
- Identifies “quick wins” - low-effort, high-impact fixes that can be implemented immediately
- Generates actionable implementation summaries with clear next steps and category breakdowns for development teams
The Composer Agent serves as the final orchestrator, creating a practical, prioritized roadmap that maximizes development impact while considering implementation effort.
What You Get
After the AI analysis completes, you receive:
- Prioritized Fix List: Issues ranked by impact and implementation effort
- Quick Wins: Easy fixes you can implement immediately for fast improvements
- Category Breakdown: Organized recommendations by specialist area
- Implementation Roadmap: Clear next steps with actionable code examples
- Project Health Score: Overall assessment of your codebase quality
All recommendations are tailored specifically to your project’s context and technical complexity, ensuring practical and achievable improvements.