Late in 2023, OpenAI introduced GPTs, a way for developers to build customized versions of ChatGPT that can bundle in specialized knowledge, follow preset instructions, or perform actions like reaching out to external APIs. As more and more businesses and individuals use ChatGPT, developers are racing to build powerful GPTs to ride the wave of ChatGPT adoption.
Near the end of 2023, ChatGPT announced that it had 100M weekly users. That’s a massive base of users who want to take advantage of the convenience and power of intelligent question answering with natural language.
With this level of popularity for ChatGPT, it’s no wonder that software developers are joining the ChatGPT app gold rush, building tools on top of OpenAI’s APIs. Building and deploying a GenAI-based app is quite easy to do—and we’re going to show you how!
There are always challenges when it comes to debugging applications. Node.js' asynchronous workflows add an extra layer of complexity to this arduous process. Although there have been some updates made to the V8 engine in order to easily access asynchronous stack traces, most of the time, we just get errors on the main thread of our applications, which makes debugging a little bit difficult. As well, when our Node.js applications crash, we usually need to rely on some complicated CLI tooling to analyze the core dumps.
This blog post is adapted from a talk given by Julián Duque at NodeConf EU 2019 titled "Let it crash!."
Before coming to Heroku, I did some consulting work as a Node.js solutions architect. My job was to visit various companies and make sure that they were successful in designing production-ready Node applications. Unfortunately, I witnessed many different problems when it came to error handling, especially on process shutdown. When an error occurred, there was often not enough visibility on why it happened, a lack of logging details, and bouts of downtime as applications attempted to recover from crashes.
Julián: Okay. So, as Brian said, my name is Julián Duque, it will be...
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