Engineering Intelligence Platform

Map, audit, and modernize
complex codebases.

CodeAtlas turns repositories into architecture maps, risk models, and modernization plans. Built for staff engineers, platform teams, and engineering leaders.

141
Files Analyzed
79%
Maintainability
$75K
Technical Debt
10,912
Lines of Code
codeatlas — dashboard github.com/fastapi/full-stack-fastapi-template
Overview
Dashboard
Analysis
Insights
Roadmap
Architecture Health
35%
Weak assessment
Technical Debt
$75K
141 files · 10,912 LOC
Critical Modules
1
Appearance.tsx
Maintainability
79%
Mod. Readiness
62%
Dep. Confidence
1%
3 resolved edges
Architecture Review
The frontend/src/components/Common/Appearance.tsx module is the highest-risk component with 82% risk score and 0.11 centrality. It acts as a coupling point between UI and business logic layers.
Risk Distribution
C: 1H: 3M: 5L: 132

Large systems become difficult to reason about.

As repositories grow, architecture, risk, and ownership become harder to see. CodeAtlas gives teams a measurable model of system health before they refactor or modernize.

Hidden Dependencies

Unresolved imports, framework aliases, and implicit coupling make impact analysis difficult.

Accumulated Debt

Risk concentrates in a small number of files while maintainability appears healthy at the surface.

Modernization Risk

Teams need a phased plan before changing high-impact modules or migration paths.

Architecture maps generated from
real repositories.

CodeAtlas scans a repository and builds a structured view of files, dependencies, risk levels, and analysis confidence.

Repository Scanning

Parse Python and TypeScript files to extract import statements and module relationships.

Dependency Graph

Visualize resolved edges with confidence indicators for unresolved imports.

Risk Distribution

Per-file risk scores based on complexity, file size, coupling indicators, and test coverage signals.

Analysis Confidence

Transparent reporting of what the scanner could and could not resolve.

Estimate impact before
changing critical modules.

Select a file and inspect affected modules, dependency confidence, and recommended test coverage.

Critical Modules
1
High-Risk Modules
3
Low-Risk Modules
132

Modernization planning from measurable risk.

Use analysis data to build a phased approach — stabilize first, then modernize with confidence.

Stabilization Plan

Identify critical and high-risk modules before starting modernization.

1critical module to stabilize first

Debt Estimate

Estimate technical debt from repository size, risk concentration, and maintainability.

$75Kcurrent technical debt estimate

Dependency Confidence

Expose unresolved imports instead of hiding uncertainty.

1%resolved edges — 3 of 141 files

Report Export

Generate Markdown and JSON reports for engineering review.

MD+ JSON export formats

Engineering risk assessment

Module-level findings written in practical engineering language.

CRITICAL

Critical Module

Appearance.tsx is the highest-risk component with 82% risk score and 0.11 centrality. Acts as a coupling point between UI and business logic layers.

frontend/src/components/Common/Appearance.tsx · 98 LOC · centrality 0.11
HIGH RISK

High-Risk Component

AppSidebar.tsx at 60% risk with tight coupling to the layout system. Independent testing is difficult without refactoring the sidebar primitive.

frontend/src/components/Sidebar/AppSidebar.tsx · 60% risk
HIGH RISK

Shared UI Primitive

sidebar.tsx at 73% risk. Shared across multiple features — changes propagate widely. Refactoring this component requires coordinated updates.

frontend/src/components/ui/sidebar.tsx · 73% risk

Projected modernization impact

Use the analysis report to model how targeted refactors could reduce debt and improve maintainability.

Before
Maintainability 79%
Technical Debt $75K
Critical Modules 1
Architecture Health 35%
After
Maintainability 95%
Technical Debt $26K
Critical Modules 0
Architecture Health 82%

Built for engineering workflows

CodeAtlas fits into how engineering teams actually work — before refactors, during planning, and across teams.

Platform teams

Understand dependency structure before migrating services. Map ownership, identify coupling, and plan refactors with data instead of tribal knowledge.

Staff engineers

Review risk concentration and critical modules before approving refactors. See exactly which files carry the most architectural weight.

Engineering leaders

Use exported reports to prioritize modernization work. Translate technical debt into cost estimates that stakeholders can act on.

Ready to analyze your
repository?

Import a GitHub repository and generate an architecture map, risk summary, and exportable report.

Import GitHub Repository View Guided Demo