🏷️ Tech Topics:#AST#TypeScript#TypeSafety#CyclomaticComplexity#DeadCode#StaticAnalysis#ClientSide
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In-Browser Source Code AST & Type Health Inspector Guide

Analyzing source code AST (Abstract Syntax Tree), measuring TypeScript Type Safety scores (%), calculating Cyclomatic Complexity, and identifying unused dead code normally requires setting up heavy AST CLI tools or uploading codebases to remote SaaS services. Uploading proprietary enterprise code to remote cloud services poses unacceptable security and intellectual property risks. This tool runs 100% locally within your browser JavaScript runtime, allowing developers to inspect code AST tokens, audit type safety, and detect dead code with zero server upload.

Key Capabilities

  • Parses JavaScript, TypeScript, JSX, and TSX AST token trees 100% client-side.
  • Calculates Type Safety Score (%) based on explicit type definitions vs unsafe "any" usage.
  • Measures Cyclomatic Complexity score to flag over-complicated conditional branches.
  • Detects potential Dead Code (unused variables and imports).
  • Zero Data Upload guarantees 100% privacy for proprietary codebases.

🚀 How to Use

  1. 1Paste your JavaScript or TypeScript code into the left panel or click "Load Sample TS Code".
  2. 2Review the Code Health Report tab for Type Safety Score (%) and Cyclomatic Complexity.
  3. 3Switch to the AST Token Tree tab to inspect the hierarchical AST node structure.
  4. 4Inspect the Warnings tab for unsafe "any" type usages and dead code alerts.
🔒100% Client-Side Privacy Guarantee

All AST parsing, token tree construction, and complexity scoring execute locally in your web browser RAM using JavaScript AST parsing algorithms.

💡Technical Deep-Dive & Detailed FAQ Guide

2 questions & detailed answers

Q1.Is it safe to paste proprietary enterprise source code here?

Yes, 100% safe. All code tokenization, AST construction, and static metrics calculation happen entirely within your local browser (Client-Side). 0 Bytes are sent over the network.

Q2.What is Cyclomatic Complexity and why does it matter?

Cyclomatic Complexity measures the number of linearly independent paths through code. High complexity indicates over-complicated code that is prone to bugs and difficult to unit test.