Publications

Exploring the impact of AI on software company valuations and the future of software development.

A terminal-based database client for exploring your PostgreSQL data.

How AI agents are reshaping e-commerce and the emergence of universal commerce protocols.

Security advisory about a critical vulnerability affecting React Server Components in Next.js.

Leverage AI and Model Context Protocol to automatically generate realistic load testing scenarios.

A comprehensive guide to my development terminal configuration for macOS and Linux.

Monitor and optimize Node.js event loop performance in your Next.js applications.

Understanding the mechanics and configuration of automatic scaling on Upsun Flex infrastructure.

Snipe-IT as an example of deploying and managing open-source applications on Upsun.

Create robust asynchronous task processing pipelines using FastAPI and Celery on Upsun.

A structured approach to leveraging AI coding assistants effectively for complex development tasks.

Deploying production-ready AI agents with RAG, vector search, and intelligent context building.

Bring Upsun into your LLMs with the new Model Context Protocol server.

Node.js and Python examples for storing and querying vector embeddings with ChromaDB.

Using Chisel to create secure tunnels between Upsun projects.

The AGENT.md specification emerged in July 2025 as an attempt to solve a real problem: developers maintaining separate configuration files for each AI coding tool (.cursorrules, .windsurfrules, CLAUDE.md, and more). Created by Sourcegraph's Amp team, AGENT.md promises "one file, any agent". A vendor-neutral standard to unify AI assistant configuration. But a surprising truth has emerged: the proliferation of AI configuration files has inadvertently revealed that most projects have terrible documentation, and fixing your README is more important than adopting any new standard.

Python development has long been plagued by slow package installations and complex dependency management. Enter uv, a new package manager developed by Astral (creators of Ruff) that's transforming how Python developers handle projects.

When your GitLab instance isn't accessible from the internet, you can't use Upsun's standard GitLab integration. Instead, you can create a GitLab CI/CD pipeline that pushes code to Upsun and manages environments through API calls. This approach gives you full control over your deployment process while maintaining the security of your private GitLab instance.

It was 11:47 PM on a Friday when Sarah's phone buzzed. The authentication system was down, and customers couldn't login and use the product. After two hours of frantic debugging, the culprit emerged: someone had "temporarily" changed a security rule in the deployment dashboard three weeks ago and forgotten to document it. The staging environment worked perfectly because it still had the old configuration. Production? Nobody remembered what settings had been changed.

The Model Context Protocol (MCP) changes how AI applications connect to external data and services. While most developers have experience with tool calling, MCP offers three distinct interaction types that work together to create richer experiences: prompts, resources, and tools. Understanding these three primitives and when to use each one gives you more control over building AI-powered applications.

The Model Context Protocol (MCP) is transforming how AI assistants interact with external tools and data sources. As AI becomes central to how users discover and interact with digital services, providing an MCP server is no longer optional, it's a strategic imperative for SaaS products and digital services.

Learn effective prompting strategies to get better results from AI coding assistants.

Ask our documentation directly from your Code IDE.

This tutorial shows how to build a PyTorch/FastAPI sentiment analysis API and deploy it on Upsun. Configure a Python project with Upsun settings, use the CPU PyTorch version for efficiency, and define API endpoints. Deploy using Git and upsun push, then test via cURL or the Swagger UI.

Connect your AI coding assistant directly to your Upsun PostgreSQL database using the MCP protocol.

Learn how to implement secure OAuth authentication between a Next.js frontend and Laravel backend using Passport with the Authorization Code Flow and PKCE.

Connect multiple applications within an Upsun project using their public URIs.

Announcing Elixir 1.18 availability on Upsun with an apology for the delayed support.

Build and deploy a conversational AI interface with Retrieval-Augmented Generation capabilities.

Video discussion on strategies for optimizing costs while maintaining application quality.

From bootstrapping the local project to adding a production domain.

From Zero to Production in under 10 minutes.

What you should know to leverage CORS and unlock Web Resources Safely.

How preview environments accelerate development workflows and improve collaboration.

Webinar on preparing your applications for high-traffic events like Black Friday.

Video demonstration of deploying and scaling a Symfony application with ChatGPT integration on Upsun.

A real-world example of a watch recommendation app using a vector database.

Quick guide to deploying Remix applications on Upsun.

Set up Laravel Horizon for queue management on Upsun.