#GitHub

What does everyone think about submitting an issue in a repository and then submitting a pull request to fix that issue. Is it an unnecessary step or does it give extra context and logging for the issue? I ask this because when I find a bug in an Open Exchange app, I always submit the Issue and then often submit a Pull Request to fix the issue.

I think that if the repository owner doesn't like your suggested fix, it is helpful to have the issue around so that they can deny the pull request and potentially implement their own change for the issue.

For a long time I have wanted to learn the Django framework, but another more pressing project has always taken priority. Like many developers, I use python when it comes to machine learning, but when I first learned web programming PHP was still enjoying primacy, and so when it was time for me to pick up a new complicated framework for creating web applications to publish my machine learning work, I still turned to PHP.

In this article I will be discussing the use of an alternative LLM for generative IA. OpenIA is commonly used, in this article I will show you how to use it and the advantages of using Ollama

In the generative AI usage model that we are used to, we have the following flow:

In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:

There are a select few in the group that have been using Github as a Local Client push to a Repository setup in GitHub. Questions were brought up today about the security, and possible issues when it comes to data being pushed in this method.

Looking over code we have noticed that there is Histogram data within some of the class files that could be considered a security issue. Does anyone else have concerns with the Histogram data being within the class files pushed up to github?

Hi Everyone!

You're very welcome to watch the new video on InterSystems Developers YouTube, recorded by @Evgeny Shvarov in the new format called "Coding Talks":

GitHub Flow with InterSystems IRIS: Edit with VSCode, Test with Docker, Commit, Push, Pull Request

https://www.youtube.com/embed/1x0hC_MlRfg
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Prompt

Firstly, we need to understand what prompt words are and what their functions are.

Prompt Engineering

Hint word engineering is a method specifically designed for optimizing language models.
Its goal is to guide these models to generate more accurate and targeted output text by designing and adjusting the input prompt words.

Hi Developers!

Recently we announced two new challenges on Global Masters: 'Bugs Bounty' and 'Pull Requests'.

And we are getting a lot of submits to the challenges which are not the thing we are expecting there. So I hope this post will give some shine to this quest.

'Bugs Bounty'

Ok! What are we expecting from 'Bugs bounty'?

There are a lot of Open Exchange solutions that come with public open-source repositories on Github: project and repo, another project and the repo, another one and its repo, and many more on Open Exchange.

Hi developers!

Suppose you have a Github repository with ObjectScript classes but without a Docker environment.

Recently I published a repository with a set of files that form a universal Docker and VSCode environment to let you either import and run your repository in InterSystems IRIS Community Edition on Docker or turn your repository into Docker and VSCode environment for InterSystems IRIS Community Edition.

So in one sentence:

Unpack these files in your folder and you have the Docker and VSCode environment for your InterSystems IRIS ObjectScript application!

See the details below.

Context

The Web Server Gateway Interface (WSGI) is a simple calling convention for web servers to forward requests to web applications or frameworks written in the Python programming language. WSGI is a Python standard described in detail in PEP 3333.

🤔 Ok, great definition and what the point with iris ?

Hi Community,

New "Coding Talk" video was specially recorded by @Evgeny Shvarov for the second IRIS Programming Contest:

⏯ Creating CRUD REST API for InterSystems IRIS in 5 minutes

https://www.youtube.com/embed/FLqU-_uT_Ek
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This is a continuation of my story about the development of my project isc-tar started in the first part.

Just having tests is not enough, it does not mean that you will run tests after all changes. Running tests should be automated, and when you cover all your functionality with tests, everything should work well after any change in any place. And Continuous Integration (CI) helps to keep the code and deployment procedure with as fewer bugs as possible and automates the routine procedures, like publishing releases.

I use GitHub to store the source code. And some time ago GitHub started to work on its own CI/CD platform and named it GitHub Actions. It is not widely available, yet. You have to be signed as a beta tester for this feature, as I did. GitHub Actions uses quite a different way how to deal with a build workflow. What is important that Github Actions allows to use Docker, and it’s quite easy to customize available actions. And interesting that GitHub Actions is really much bigger than any classic CI like we have in Travis, Circle or Gitlab CI and so on. You can find more in the official documentation.