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Microfrontend as it supposed to be: Single Page Application, Server-side rendering and Independent deployments.
Example that proves it's possible using React 18 + Suspense on server and Webpack Module Federation
Open-source, cross-platform JavaScript run-time environment that executes JavaScript code outside the browser
Microfrontend as it supposed to be: Single Page Application, Server-side rendering and Independent deployments.
Example that proves it's possible using React 18 + Suspense on server and Webpack Module Federation
In this article, we will briefly review a technology that underlies ChatGPT — embeddings. Also we’ll write a simple intelligent search in a codebase of a project.
With the help of the ESLint and Prettier features, you can automate the formatting of your code, make it more expressive and accurate, correspond to specific rules, and avoid errors and bottlenecks even before uploading the code to the shared source storage...
As a side hustle, I teach tech recruiters web and software development technologies using plain English. It helps them with understanding job specs and resumes and it makes all of us, tech people, happier.
I run a weekly newsletter and often get feedback from recruiters via email or LinkedIn DMs.
I thought that I could try to collect feedback using the “Reactions” feature just like LinkedIn or Facebook does. It’s not as informative as personalised messages but is a simple feature that may incentivize more people to provide some general feedback.
Either way, it’s worth trying and as a software developer, I can’t wait to implement it.
This tutorial is about implementing a feature that will be used in real life on my project.
With ML projects still on the rise we are yet to see integrated solutions in almost every device around us. The need for processing power, memory and experimentation has led to machine learning and DL frameworks targeting desktop computers first. However once trained, a model may be executed in a more constrained environment on a smartphone or on an IoT device. A particularly interesting environment to run the model on is browser. Browser-based solutions may be used on a wide range of devices, desktop and mobile, online and offline. The topic of this post is how to prepare a model for the in-browser usage.
This post presents an end-to-end implementations of a model creation in Python and Node.js. The end goal is to create a model and to use it in a browser. I'll use TensorFlow and TensorFlow.js as main frameworks. One could train a model in Python and convert it to JS. Alternative is to train a model directly in javascript, hence omitting the conversion step.
I have more experience in Python and use it in my everyday work. I occasionally use javascript, but have very little experience in the contemporary front-end development. My hope from this post that python developers with little JS experience could use it to kick start their JS usage.
Choosing between Node.js and Ruby on Rails, when choosing a development platform, is a core decision. That affects how the project unfolds over time, and how much server resources will be needed. Both languages can support web applications of high complexity, but each has its advantages and disadvantages. Knowledge of these pros and cons will help to choose the best solution for the proposed project. Let's analyze in more detail and tell you about our choice and experience.
Have you ever wanted to have a swagger documentation for your express API based on annotations? I have. And unfortunately didn’t find any way of doing it without having to manually create a swagger.json
file. My wish was simple as this: I want to have a clean express app with multiple endpoints and I want to keep swagger documentation for every endpoint close to the endpoint implementation, not in a separate file.
Maybe I’m just lacking some google skills, but I decided that it’d be much easier for me to create such a tool. And here it is: mgr-swagger-express
I now have a new shiny blog. Read this article with the latest updates there https://blog.goncharov.page/nodejs-logging-made-easy
How many times did you write logger.info('ServiceName.methodName.')
and logger.info('ServiceName.methodName -> done.')
for each and every method of your service you wanted to log? Would you like it to be automated and has the same constant signature across your whole app? If that's so, we're very much alike, we have suffered the same pain too many times, and now we could finally try to resolve it. Together. Ladies and gentlemen, let me introduce… class-logger!
I now have a new shiny blog. Read this article with the latest updates there https://blog.goncharov.page/nodejs-logging-made-right
What's nagging you the most when you think about logging in NodeJS? If you ask me I'm gonna say lack of of industry standards for creating trace IDs. Within this article we'll overview how we can create these trace IDs (meaning we're going to briefly examine how continuation local storage a.k.a CLS works) and dig deep into how we can utilize Proxy to make it work with ANY logger.
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