Also if you are interested in what trans compiled code looks like, head to this site that will transcompile anything given to it. https://babeljs.io/. - Source: dev.to / 10 days ago

Some of the most popular JavaScript linting tools are ESLint, JSHint, JSLint and JSCS. We're going to be using ESLint. It’s very flexible, easy to use and has the best ES6 support, which will be helpful if we introduce more modern JavaScript (that will be transpiled for older browsers using https://babeljs.io/). All rules for ESLint can be found here: https://eslint.org/docs/rules/. - Source: dev.to / 4 months ago

This simply extends the existing build process that many front-end frameworks have. After Babel's done with its transpilation, it merely executes code to compile your initial screen into static HTML and CSS. This isn't entirely dissimilar from how SSR hydrates your initial screen, but it's done at compile-time, not at request time. - Source: dev.to / 4 months ago

First, we switched the default compiler for new projects from Babel to SWC (Speedy Web Compiler). SWC is dramatically faster than Babel and requires zero configuration. We’ll continue to support Babel in any project currently using it. - Source: dev.to / 5 months ago

Nuxt.js is an open-source JavaScript framework built on Vue.js, Node.js, Vite, and Babel.js used for creating fast, cutting-edge applications. Nuxt.js possesses similar features to Next.js, with the major difference being the web framework it is compatible with. Next.js is a React framework whereas Nuxt.js is a Vue framework. - Source: dev.to / 7 months ago

Generative AI with the Gemini API via Google AI or GCP Vertex AI. - Source: dev.to / 3 days ago

2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 4 months ago

Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 6 months ago

Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 7 months ago

For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 7 months ago