Everything You Need to Build Faster

Semantic caching for LLMs can reduce API costs by 20–70% by reusing similar responses. Combined with deterministic routing and improved retrieval, enterprises can significantly lower LLM usage, though effectiveness varies by workload and improves over time.

Build a conversational AI agent in minutes using Harper’s unified platform. This guide shows how to create, deploy, and scale real-time AI agents with built-in database, vector search, and APIs—eliminating infrastructure complexity for faster development.

Trezy shares his journey from professional drummer and filmmaker to software engineer and open source maintainer. Learn about PixieJS, game development, AT Proto, BlueSky, data sovereignty, and how developers can confidently contribute to open source projects.

AI agents write decent application code but choke on multi-service infrastructure. This piece breaks down four architectural approaches emerging to close the gap, and why the winner will be the stack with the smallest surface area.

Learn how to implement secure web app authentication with Harper using the Resource API, including user schema design, session-based authentication, custom sign-in and sign-up endpoints, and protected routes for modern full-stack applications.

AI search bots skip JavaScript-heavy sites, leaving brands invisible in ChatGPT, Perplexity, and Gemini. Learn how pre-rendering at the infrastructure layer fixes the problem.

When experimentation logic, redirect limits, and origin failures were quietly costing a $1B+ retailer tens of millions, Harper delivered edge-deployed acceleration without re-platforming. 47x ROI. Six weeks to prove it.

A unified runtime collapses database, cache, messaging, and APIs into one system, reducing latency, improving throughput, and giving AI a safer, clearer platform for building durable applications.

Agentic AI promises autonomous software development, but enterprise security concerns block adoption. This article explains how credential sprawl creates risk—and how a unified runtime architecture like Harper eliminates infrastructure access requirements, enabling secure agentic engineering in production environments.

Learn how to build a full-stack Todo app using Harper’s Resource API, including schema-first data modeling, automatic REST API generation, custom backend logic, and seamless frontend integration for high-performance application development.

Learn how to streamline full-stack development using Harper. This tutorial covers local setup, GraphQL schema-driven table creation, and integrating auto-generated REST APIs for CRUD functionality in a responsive web application.

A RevOps leader ditched expensive, rigid SaaS tools and used AI (OpenAI Codex) plus Harper to build and deploy a custom, automated internal Growth Weekly Digest app in days, saving time and cost.

Explores AI’s “last-mile” problem—the challenge of turning models into real applications—and introduces Harper as a way to streamline deployment, integration, and performance in production environments.

Enterprise Agentic Development with Harper enables coding agents to build and deploy production-ready applications without backend wiring. A unified runtime combines database, cache, APIs, messaging, and global deployment into one seamless, enterprise-proven platform.

Explores how combining Claude AI with Harper enables rapid development of high-performance systems, showing how an idea can scale to one million requests per second with minimal infrastructure complexity.

Learn how to build a lightweight AI ops assistant in just three days that consolidates tools, automates incident workflows, and delivers real-time answers in Slack, all while cutting thousands in monthly SaaS costs. This practical breakdown covers the stack, architecture, and cost savings behind a smarter approach to AI-driven automation and SaaS cost optimization.

Learn how to use Claude Code to build and deploy apps to Harper Fabric using simple chat commands. This guide covers AI-assisted development, one-command deploys, live production updates, and how to streamline cloud infrastructure with an agentic coding workflow.

In this episode, Jordan Harband (LJHarb) shares his journey from software engineer to leading open source maintainer, TC39 contributor, and JavaScript standards editor.

Explore how agentic commerce challenges traditional composable architectures—and why unifying data, logic, and execution is key to scalable AI-driven commerce.

Learn why a multi-tier caching strategy combining a CDN and mid-tier cache delivers better ROI. Discover how deterministic caching, improved origin offload, lower tail latency, and predictable costs outperform a CDN-only architecture for modern applications.

Explore a real-time pub/sub architecture where MQTT, WebSockets, Server-Sent Events, and REST work together with persistent data storage in one end-to-end system, enabling real-time interoperability, stateful messaging, and simplified service-to-device and browser communication.

Join Debbie O’Brien on the Select * Podcast as she shares insights on open source, and developer experience, and family.