🌷OpenRose

  Welcome to OpenRose —a free and open-source requirements management tool available at github.com/openrose   In this blog, we’ll explore how OpenRose’s latest feature empowers users to collaborate with AI platforms like ChatGPT, especially when managing complex projects such as a Charity Fundraising initiative. Why Context Matters in AI Collaboration When working with AI—whether it's ChatGPT or any other platform—setting the right context is crucial. This process is known as context engineering or context provisioning , and it’s closely related to what many refer to as prompt engineering . Rather than overwhelming the AI with excessive or irrelevant data, context engineering ensures the AI receives just the right amount of information—no more, no less. This allows the AI to generate more accurate, relevant, and actionable responses. As AI systems evolve from simple prompt-based tools into sophisticated autonomous agents, context engineering becomes essential. It helps r...

Welcome back to another hands-on demo of OpenRose, a FREE and Open-Source requirements management application that’s helping teams structure, trace, and manage their requirements with precision and flexibility. In this article, we’ll explore one of OpenRose’s most powerful features: importing baseline data . Using a real-world example from a Charity Fundraising project, we’ll walk through how to export and import baseline records, item types, and individual requirements—while preserving hierarchy, traceability, and scope control. Understanding Baselines in OpenRose Baselines in OpenRose are snapshots of your requirements at a specific point in time. They’re immutable by design, except for the ability to include or exclude specific requirements from the baseline scope. When exporting baseline data, you’re not simply backing up a frozen view—you’re preparing it for re-import into a live project , where it can be reused, reorganized, or archived. Depending on what you export, OpenR...

  Hello again, and thanks a lot for joining this session. Today, we're going to talk about the latest release—version 0.2.0-32 —of OpenRose. In this particular version, we’ve delivered a significant new capability requested by our users: the ability to export data from OpenRose . Here are the release notes. Version 0.2.0-32 is all about supporting the export of data in JSON format , including requirements breakdown structure. Now, we support exporting: Project requirements ItemzType data Requirements Itemz data Baseline data Baseline Requirements ItemzType data Baseline Itemz data All of these are now supported in the latest version. Let me start by showing you the user story we received, visible in the project area. It was a simple one: “As a user of the OpenRose tool or application, I want to be able to export project Requirement ItemzType or Requirement Itemz to the file system so that I can share it with others or import it into another OpenRose repository.”...