livecodes VS pluto

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In the evolving landscape of education, teachers and students are continuously seeking effective learning tools. The need for such tools is even more pronounced in the sphere of programming. The complexity of setting up development environments and the steep learning curve of programming languages are often challenging. This is where LiveCodes steps in, offering a seamless solution that makes programming accessible, interactive, and engaging while remaining free (and open-source) with unlimited usage. The versatility of LiveCodes makes it an ideal tool for schools, colleges, and coding bootcamps, as well as course websites and online learning platforms.

LiveCodes is a feature-rich, open-source, client-side, code playground that supports 80+ languages and frameworks. Check out the announcement for details.

I'm using https://github.com/live-codes/livecodes to just move it all completely into the client

LocalPen is a powerful frontend coding playground that runs totally on the client and can be hosted on any static file server. Try it now on localpen.io

At last, it feels great to build apps that you and others actually use. I plan to continue building and adding features/fixes to LocalPen. It would be great to know your opinion, comments, advice, ideas and, even better, contribution.

LocalPen is a powerful frontend coding playground that runs totally on the client and can be hosted on any static file server. Try it now on localpen.io

Here I am introducing LocalPen. A project that I started as a small module to be added to the website, but actually has grown much larger and deserved to be a separate project.

You can get all the code for this example from here. This link provides an online IDE for this sample application. Click the Fork button in the upper right corner to create your own development environment, and then you can directly modify the code and deploy it to AWS in the browser.

Big Data Scenario: Word Count

Plutolang - Pluto is a new open-source programming language designed to help developers write cloud applications, making it easier to utilize cloud services. Developers can directly use required resources such as KV databases and message queues in their code based on business needs. Pluto uses static code analysis to obtain the infrastructure resource topology the application depends on and deploys the corresponding resource instances and applications on the specified cloud platform or Kubernetes.

Developers define variables in their code, and Pluto takes care of automatically creating and managing the required cloud resource components based on those variables. This simplifies the process of deploying and managing cloud infrastructure, enabling developers to make better use of the cloud. Read more

I'm currently working on a project with a similar concept. However, at the moment, I am using static program analysis technology to infer infrastructure dependencies. But I am considering using AI to deduce the dependencies and generate the final Infrastructure as Code. So, in the architecture, we can replace the deducer and generator with an implementation using AI, as shown in the diagram.