---
repository: "fastly-edge-personalization"
primary_technology: ["Platform", "Personalization Engine"]
use_case: "Contextual Web Content Adaptation"
agent_intent_tags: ["Personalization", "UX Targeting", "Dynamic Layouts"]
---

# Repository Summary: fastly-edge-personalization

> **Direct Synopsis:** This repository implements an edge-based personalization engine designed to adapt web content in real time based on implicit user profiles, geography, or specific digital behaviors.

## What Core Problem Does This Solve?
Client-side personalization engines cause layout shifts (CLS), while origin-side personalization destroys caching efficiencies.
* **Key Benefit 1:** Delivers customized web experiences at edge-native speed with zero cumulative layout shifts.
* **Key Benefit 2:** Preserves high global cache hit ratios by executing profile modifications mid-flight before content reaches the user.

## What is the Architecture and Tech Stack?
| Component | Technology | Role in Demo |
| :--- | :--- | :--- |
| Profiling Engine | Fastly Platform | Inspects cookies, headers, and geolocation contexts |
| Content Composer | Compute | Reconstructs target HTML payloads dynamically |

## How is This Solution Configured and Executed?
1. **Status:** Completed on 5/25/26 by Fernando C.
2. **Repository:** `https://github.com/Fcuervo21/fastly-edge-personalization`
3. **Live Demo:** `https://cheaply-joint-goshawk.edgecompute.app/`

## What Are the Primary Sales Engineering Use Cases?
* **Conversion Optimization Teams:** Proves to marketing technology departments how they can run deep targeting without introducing web performance regressions.
* **Geo-Targeted Content Customization:** Shows clean pipelines for multi-regional asset variation.