In this article, we'll explore how we developed an Aspire component that spins up an Ollama container and downloads a Large Language Model, ready for use. If you're new to any of these technologies, you can continue reading, otherwise feel free to skip to the technical walkthrough. As a quick bit of background, we recently released an Aspire component that brings a free, lightweight Raygun app into your local development environment to help debug exceptions. We then subsequently enhanced this with AI Error Resolution capabilities which runs entirely on your local machine.

Smart engineering teams are working out how to use Large Language Models (LLMs) to solve real business problems. At Raygun, we're no exception, and we're committing our time and effort to developing AI software applications that bring value to our customers. Our first AI-powered release is AI Error Resolution (AIER), a novel Crash Reporting feature that takes debugging with ChatGPT to the next level. We know that LLMs have already dramatically increased software engineers' productivity.

In 2024, JavaScript is bigger than ever. The ecosystem is just as huge, and almost impossible to keep track of - so I've had a go at picking out 2024's most essential JS tools for you. In part 1 of this series, we reviewed runtimes and package managers, the foundational building blocks of your software project. So in part 2, we're analyzing the tools which form the walls and roof that give your software project its structure: frameworks and static site generators. For this installment of JS Toolbox 2024, we explore various frameworks & generators available in the JavaScript & TypeScript ecosystem, analyzing their strengths, weaknesses, and ideal use cases.