A programming tool or software development tool is a computer program that software developers use to create, debug, maintain, or otherwise support other programs and applications.
The VS Code extension development team is looking for beta testers to provide feedback on a proposed overhaul of the client-side editing workflow. The full list of changes can be found in the GitHub pull request description. Here are the highlights:
There are many applications for working with HL7 V2 messages, but the tools for working with XML in IRIS Management Portal and Cache Studio are limited.
Please allow me to introduce you to a new way of interacting with IPM (InterSystems Package Manager), also known as ZPM,directly from inside Visual Studio Code.
As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.
In this article, I’m excited to introduce CodeInspector, a tool designed to simplify code validation by applying custom rules tailored to your development requirements. Whether you're managing a large codebase or working in an agile environment, CodeInspector helps ensure code quality by offering flexibility and adaptability to specific project needs.
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The InterSystems platforms have always offered dynamic documentation of the packages and classes in a namespace, a feature known informally as Documatic. But what if you need to publish this class reference information on a website without requiring the site to be connected to an IRIS server containing the actual classes?
The latest "Bringing Ideas to Reality" InterSystems competition saw me trawling through the ideas portal for UI problems to have a go at.
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Monitor incremental changes in the database through scheduled tasks, display change trends through charts, set alarm thresholds, and write information to messages.log
How to use it
You can install it through Docker or ZPM
Deploying with Docker Prerequisites
Make sure you have git and Docker desktop installed.
A benefit of using Doxygenerate is that Doxygen does more than just HTML output. Tweak the Doxyfile that tells Doxygen what to do and you can easily create a PDF. Our example MARINA application yielded a 524-page PDF. Here's what page 94 looks like:
Been testing out the Production Validator toolkit, just to see what we can/not do with it. Seems really interesting and there seem to be some use cases for it that can really streamline some upgrades (or at least parts of upgrades) but I was running into so many hurdles with the documentation. I am curious if anyone else has used it.
If you are using the client-side development paradigm (i.e. editing code in local files that get imported and compiled onto the IRIS server your `objectscript.conn` settings point to) you can now use IPM in VS Code to manage the packages in your IRIS target by launching it from the Explorer view.
I'm diving deeper into Caché ObjectScript and would love to open a discussion around the most useful tips, tricks, and best practices you’ve learned or discovered while working with it.
Whether you're an experienced developer or just getting started, ObjectScript has its own set of quirks and powerful features—some well-documented, others hidden gems. I’m looking to compile a helpful set of ideas from the community.
In this article, I will introduce my application iris-AgenticAI .
The rise of agentic AI marks a transformative leap in how artificial intelligence interacts with the world—moving beyond static responses to dynamic, goal-driven problem-solving. Powered by OpenAI’s Agentic SDK , The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. This application showcases the next generation of autonomous AI systems capable of reasoning, collaborating, and executing complex tasks with human-like adaptability.
Application Features
Agent Loop 🔄 A built-in loop that autonomously manages tool execution, sends results back to the LLM, and iterates until task completion.
Python-First 🐍 Leverage native Python syntax (decorators, generators, etc.) to orchestrate and chain agents without external DSLs.
Handoffs 🤝 Seamlessly coordinate multi-agent workflows by delegating tasks between specialized agents.
Function Tools ⚒️ Decorate any Python function with @tool to instantly integrate it into the agent’s toolkit.
Vector Search (RAG) 🧠 Native integration of vector store (IRIS) for RAG retrieval.
Tracing 🔍 Built-in tracing to visualize, debug, and monitor agent workflows in real time (think LangSmith alternatives).
MCP Servers 🌐 Support for Model Context Protocol (MCP) via stdio and HTTP, enabling cross-process agent communication.
Chainlit UI 🖥️ Integrated Chainlit framework for building interactive chat interfaces with minimal code.
Stateful Memory 🧠 Preserve chat history, context, and agent state across sessions for continuity and long-running tasks.
My team is exploring options for handling timezone offsets in DTL and we’re wondering if there are any built-in methods available — ideally low-code or no-code solutions. Specifically, we're looking for a way to adjust timestamps based on the date and whether Daylight Saving Time (DST) is in effect.
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Have you ever needed to change an IP or port before deploying an interface to production? Needed to remove items from an export? What about modifying the value(s) in a lookup table before deploying? Have you wanted to disable an interface before deploying? What about adding a comment, category, or alert setting to an interface before deploying to production?
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