The State of Acme's Frontend

A data-driven architectural analysis

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Executive Summary

The Acme frontend is a mature React codebase comprising 4,868 TypeScript/TSX files with approximately 75,753 lines of code. Built on React 18.3 with TypeScript 5.4, it serves as the user interface for a comprehensive enterprise application. The codebase has been actively developed by 69 contributors over multiple years, with clear architectural patterns emerging from the Atomic Design methodology.

This analysis examines the codebase through quantitative metrics and architectural patterns to identify areas of strength and concern. The data reveals a well-organized component library alongside concentrated technical debt in specific areas that warrant attention.

Key Finding: The top 19 files (0.4% of the codebase) have accumulated 50+ changes each, indicating concentrated maintenance burden. The App.tsx file alone has 272 recorded changes, making it the primary hotspot for refactoring consideration.

The Problems

Before discussing what's working, let's address the pain points that the data reveals. Understanding these issues is essential for prioritizing improvements.

Technical Debt Hotspots

The technical debt analysis identifies 19 high-churn files that have been modified 50+ times throughout the project's history. These files represent concentrated maintenance burden and are prime candidates for refactoring:

File Changes Category
src/App.tsx 272 Core
src/api/node-backend/generated/models/index.ts 240 Generated API
src/api/node-backend/backendService.ts 159 API Layer
src/screens/ItemEntryForm/ItemForm.test.tsx 133 Tests
src/screens/InventoryScreens/InventoryScreen/InventoryBody.tsx 131 Screens
src/screens/catalog/CatalogScreen.tsx 117 Screens
src/components/LocationMap/LocationMap.tsx 113 Components
Technical Debt Analysis
Explore high-churn files and maintenance hotspots in detail.

Type Safety Status

Excluding generated API code, the codebase contains only 45 instances of the : any type annotation in hand-written source files. This is an impressively low number for a codebase of this size, indicating strong type discipline among developers. The total of 4,380 any usages includes auto-generated API client files which are outside developer control.

Strength: Only 45 uses of any type in non-generated code (0.001% of files) demonstrates excellent TypeScript discipline. The generated API code accounts for the remaining 4,335 instances.

Large File Complexity

The code churn analysis reveals 17 files exceeding 500 lines of code. Large files are harder to understand, test, and maintain. The largest files include:

Outstanding Code Quality Issues

The codebase contains indicators of incomplete work and debugging artifacts:

What's Working Well

Despite the challenges, several architectural decisions have proven valuable and should be preserved or expanded.

Atomic Design Implementation

The codebase follows a clear Atomic Design methodology with 205 atoms and 799 components. This separation provides a strong foundation for design system consistency and component reusability. The atoms directory contains foundational UI elements while the components directory houses more complex compositions.

Component Hierarchy
Visualize the atomic design structure with treemap analysis.

Comprehensive Test Coverage

With 465 test files, the codebase demonstrates a commitment to testing. The presence of dedicated test files for complex components like forms and data grids indicates awareness of quality assurance needs. The test-to-source ratio (~9.5%) shows testing is integrated into the development workflow.

Modern Technology Stack

The technology choices reflect current best practices:

Dependencies Analysis
Explore the 122 production and 73 development dependencies.

Feature-Organized Screen Structure

The 909 screen files organized by feature (Authentication, ItemEntryForm, Catalog, Inventory, etc.) facilitate code discovery and ownership. Each feature area contains its own components, tests, and utilities, reducing cross-feature coupling.

Active Development Velocity

The change velocity analysis shows consistent development activity, with notable peaks in September-October 2025 (276 and 311 commits respectively). This indicates an active project with ongoing feature development and maintenance.

The architectural patterns observed are not the result of a singular, flawed design, but the cumulative effect of many small, seemingly rational decisions made in isolation over years of continuous development.

What Can Be Improved

Based on the data analysis, here are specific, actionable recommendations organized by implementation timeline.

Quick Wins (Immediate Impact)

  1. Audit and remove console.log statements: The 80 instances can be found and removed systematically. Consider adding an ESLint rule to prevent future occurrences.
  2. Split the largest test files: ItemForm.test.tsx (1,428 lines) can be split into focused test modules (validation, submission, field interactions) for better maintainability.
  3. Review TODO/FIXME comments: Triage the 1,546 comments to identify items that can be closed, converted to tickets, or removed as outdated.

Medium-term Improvements

  1. Refactor App.tsx: With 272 changes, this file is the primary bottleneck. Extract routing configuration, provider setup, and initialization logic into separate modules.
  2. Maintain type safety discipline: With only 45 any usages in non-generated code, continue this excellent practice. Consider enabling stricter TypeScript compiler options to further strengthen type safety.
  3. Extract shared map logic: LocationMap.tsx (113 changes) and LocationMapStatic.tsx (690 lines) suggest opportunities to extract reusable map utilities and reduce duplication.
  4. Decompose helper.tsx: The 876-line helper file in ItemEntryForm likely contains multiple responsibilities that should be split by domain.

Long-term Architectural Changes

  1. Establish code ownership: With 69 contributors, consider implementing CODEOWNERS to ensure consistent review and maintenance of critical paths.
  2. Formalize the design system: The 205 atoms provide a foundation for a documented design system with guidelines and usage examples.
  3. Monitor and prevent churn: Set up metrics to identify files accumulating changes and proactively refactor before they become hotspots.
Codebase Health Score
View the composite health metrics and trend analysis.
Overall Assessment
The Acme frontend is a substantial, actively-maintained codebase with solid architectural foundations and excellent type safety discipline. The primary concerns center around accumulated complexity in specific high-churn files rather than systemic architectural issues. Targeted refactoring of the identified hotspots would significantly improve maintainability without requiring a major rewrite.

Methodology

This analysis is based on data collected on January 5, 2026 using reproducible scripts documented in each visualization page. All metrics were gathered from the Acme frontend repository using standard Unix tools and git history analysis.

Data Sources

Explore the Visualizations

Each visualization page includes detailed methodology and the specific commands used to gather its data:

How This Analysis Was Conducted

This report analyzes 4,868 TypeScript/TSX files from the Acme frontend codebase.

Key Metrics Collected

Assumptions

Data collected: January 05, 2026