Integration Architecture

Hook into your CI/CD workflow with zero runtime overhead

FuzenAI hooks into your CI/CD workflow, statically analyzing your codebase and injecting structured metadata, semantic markup, and machine-readable context directly into your build artifacts.

1. Repository Hook

Connect via GitHub/GitLab webhooks or npm package integration

# Add FuzenAI to your build pipeline npm install @fuzenai/cli # or yarn add @fuzenai/cli

2. Static Analysis Phase

Our AST parser analyzes your component tree and extracts semantic meaning

// fuzen.config.js export default { analyze: ['src/**/*.{js,jsx,ts,tsx,html}'], inject: { structuredData: true, semanticHTML: true, aiMetadata: true }, output: 'build/' }

3. Build-Time Injection

Inject AI-readable layers into build output without affecting performance

- name: FuzenAI Optimization run: | fuzen analyze --config fuzen.config.js fuzen inject --target production

Implementation Flow

From integration to AI-native deployment

1

Webhook Integration

Connect via GitHub/GitLab webhooks or npm package

2

AST Analysis

Parse component trees and extract semantic structures

3

Metadata Injection

Inject AI-readable layers into build output

4

Deploy AI-Native

Ship with embedded intelligence from commit zero

Why Your Build Pipeline Needs AI Preprocessing

Static Analysis Intelligence - Transform component architecture before bundling
Zero-Config Integration - Drop into existing webpack/vite configs
Differential Semantic Injection - Push optimization updates through CI/CD
Build-Time Transparency - Full visibility into AST transformations
Holistic Application Understanding - Analyze entire component graph

Architecture Comparison

See how FuzenAI compares to other approaches

ApproachPerformanceIntegrationCoverageScalability
FuzenAIZero runtime costBuild-time pipelineComplete AST analysisAutomated with builds
Runtime InjectionJavaScript overheadClient-side scriptsDOM-level onlyRuntime processing
Manual ImplementationVariable implementationManual code changesSelective componentsDeveloper-dependent

Ready to integrate FuzenAI?

Get started with our build-time AI optimization in minutes.

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