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Live Coding! High-Performance E-Commerce App with Next.js, Harper, and ChatGPT

Learn how to build a blazing-fast, full-stack e-commerce app using Next.js, Harper, and OpenAI. Krista Goralczyk, Principal Solutions Architect at Harper, walks through a live coding session covering setup, dynamic data handling, AI-powered personalization, and performance optimization. Perfect for developers looking to level up their modern web app skills.

Tutorial

Live Coding! High-Performance E-Commerce App with Next.js, Harper, and ChatGPT

Krista Goralczyk

Solutions Architect

at Harper

March 30, 2025

Krista Goralczyk

Solutions Architect

at Harper

March 30, 2025

Krista Goralczyk

Solutions Architect

at Harper

March 30, 2025

March 30, 2025

Learn how to build a blazing-fast, full-stack e-commerce app using Next.js, Harper, and OpenAI. Krista Goralczyk, Principal Solutions Architect at Harper, walks through a live coding session covering setup, dynamic data handling, AI-powered personalization, and performance optimization. Perfect for developers looking to level up their modern web app skills.

Krista Goralczyk

Solutions Architect

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In this 1-hour livestream, Krista Goralczyk, Principal Solutions Architect at Harper, walked through how to build a fast, dynamic e-commerce app using Next.js, Harper, and ChatGPT. If you missed the session, here are the key resources to help you get started.

Resources

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Key Points Covered

Setting up the development environment with Node.js, npm, and Harper.
Cloning the e-commerce template and running the app locally.
How to integrate Harper with Next.js for dynamic product data.
Using OpenAI for AI-powered personalized product descriptions.
Optimizing performance and ChatGPT API usage with Harper’s caching features.

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If you have questions and want to speak with a Harper developer, contact us.

INDEX

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Read the Full Story

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Harper Ecommerce Template

An e-commerce website template using Harper as the dynamic data source, caching solution, and the Harper Next.js component.

Harper Ecommerce Template

An e-commerce website template using Harper as the dynamic data source, caching solution, and the Harper Next.js component.

Krista Goralczyk

Krista Goralczyk

Krista Goralczyk

Krista Goralczyk

Harper Ecommerce Template

An e-commerce website template using Harper as the dynamic data source, caching solution, and the Harper Next.js component.

Krista Goralczyk

Krista Goralczyk

Krista Goralczyk

Krista Goralczyk

Icon representing link to external content

Harper Ecommerce Template

An e-commerce website template using Harper as the dynamic data source, caching solution, and the Harper Next.js component.

Krista Goralczyk

Krista Goralczyk

Krista Goralczyk

Krista Goralczyk

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Harper Named a Sample Vendor in the Gartner® Hype Cycle™ for Digital Commerce, 2026

Harper was named a 2026 Gartner Hype Cycle for Digital Commerce Sample Vendor, recognized in Front-End Cloud for its unified runtime combining data, application logic, messaging, and agent development together.

‍

‍

In this 1-hour livestream, Krista Goralczyk, Principal Solutions Architect at Harper, walked through how to build a fast, dynamic e-commerce app using Next.js, Harper, and ChatGPT. If you missed the session, here are the key resources to help you get started.

Resources

‍

Key Points Covered

Setting up the development environment with Node.js, npm, and Harper.
Cloning the e-commerce template and running the app locally.
How to integrate Harper with Next.js for dynamic product data.
Using OpenAI for AI-powered personalized product descriptions.
Optimizing performance and ChatGPT API usage with Harper’s caching features.

‍

If you have questions and want to speak with a Harper developer, contact us.

Learn how to build a blazing-fast, full-stack e-commerce app using Next.js, Harper, and OpenAI. Krista Goralczyk, Principal Solutions Architect at Harper, walks through a live coding session covering setup, dynamic data handling, AI-powered personalization, and performance optimization. Perfect for developers looking to level up their modern web app skills.

Download

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Learn how to build a blazing-fast, full-stack e-commerce app using Next.js, Harper, and OpenAI. Krista Goralczyk, Principal Solutions Architect at Harper, walks through a live coding session covering setup, dynamic data handling, AI-powered personalization, and performance optimization. Perfect for developers looking to level up their modern web app skills.

Download

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Learn how to build a blazing-fast, full-stack e-commerce app using Next.js, Harper, and OpenAI. Krista Goralczyk, Principal Solutions Architect at Harper, walks through a live coding session covering setup, dynamic data handling, AI-powered personalization, and performance optimization. Perfect for developers looking to level up their modern web app skills.

Download

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Explore Recent Resources

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Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

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Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

Austin Akers

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How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

How to Reduce API Latency Under Load Without Adding Another Cache Tier

Reduce API latency under load with a caching alternative to Redis: an in-process cache that cut response time 100x without adding a new tier.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

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Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Aleks Haugom

Senior Manager of GTM

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

Harper 5.2: More Throughput per Node, Fewer Systems Around It

Harper 5.2 helps architecture and platform leaders improve performance, control infrastructure costs, secure production workloads, and reduce operational complexity by bringing faster data access, agentic capabilities, scheduling, backup, routing, and protection into one unified runtime.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Blog

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

Aleks Haugom

Senior Manager of GTM

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5 Architectures for Web Personalization

Personalization is a data-delivery problem. Every architectural choice reduces to two distances: compute to user, and compute to fresh data. This piece maps five real architectures against both axes, scored on a concrete retailer workload where stale or slow data breaks the business.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Tutorial

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Kris Zyp

SVP of Engineering

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

5x Faster HNSW Vector Search with int8 Quantization

Harper 5.1 adds int8 quantization, dropping index size by roughly 3x, search throughput improves roughly 5x, and p99 latency falls from ~9s to ~0.5s under load. The tradeoff is approximately 1% recall degradation before reranking.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Comparison

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Harper

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Vercel vs. Harper Benchmark Test

Harper runs live, personalized apps 4–14x faster than Vercel by unifying data, logic, cache, and messaging in one runtime.

Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

Blog

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

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CEO & Co-Founder

Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

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Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

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Agentic Engineering Needs an Opinion: Why Scale Starts with Architecture

AI coding works in a sandbox because the environment is trivially narrow. Real systems have history, constraints, and blast radius. Coding agents make sound decisions only when the architecture is explicit and shared. Opinion isn't a constraint on agentic engineering, it's what makes it possible at scale.

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