Release 1.24.0 - Enhance - September 2025

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This release enhances user feedback capabilities, translation options, content formatting preservation, and system performance while strengthening deployment security and synchronisation intelligence.

🎯 Highlights

  • Enhanced User Feedback Systems

  • Expanded Translation Services

  • Advanced Content Formatting

  • Significant Performance Improvements

🧠 CodeBeamer Add-on Improvements

Contradiction Analysis: Feedback mechanism

  • User feedback features are now available for the contradiction analysis as well

  • Users can flag correct and incorrect contradictions identified by the AI system and enable continuous improvement of the models for improved quality

Translation: Selection of DeepL

  • Translation service now can be configured to use DeepL API as part of the Raiqon CodeBeamer integration

  • This means all benefits of using the Raiqon plugin and deep integration to CodeBeamer is available with the trusted translation quality of the DeepL service

  • This ensures that users who have already been using their services can expect the same performance but with the added benefit of having a direct integration, translation of items, bulk translation of full trackers and many more provided by our integrated translation plugin

Requirement Authoring: Handling of HTML and formatting

  • HTML and other formatting in requirements is now kept during the authoring process

  • This is extremely important in the case of complex requirements with highlights, lists, tables and other complex elements

  • The authoring function now aims to keep the original formatting when extending or rephrasing the requirement content

AI Chat: Scope support

  • Chat APIs now rely on scopes, which improves the integration between CodeBeamers representation of items and our internal representation of the chat context

  • This also improves how well we can define the details of the context passed to the chat (relevant similar items for the scope selected, previous messages in the chat, etc.)

📄 PDF Importer Improvements

PDF - LLM postprocessing speedup

  • The process of extracting items or requirements from the process PDFs heavily relies on AI services to understand the full hierarchy and context to get the highest possible quality for the exported item list

  • This process has been optimized to support 100s of pages long documents and to provide an overall speedup of 10-15x to the whole PDF to requirement tracker process

📋 Technical Notes

System Improvements

This release includes significant backend enhancements for improved reliability and performance. The system now features smarter synchronization that automatically detects content changes and cascades updates, enhanced resilience with automatic pause/resume capabilities during CodeBeamer unavailability, and strengthened deployment security. Additional improvements include better data model handling and auto-configuration capabilities for streamlined project setup.

System Requirements

  • No changes to existing system requirements

  • All improvements are backward compatible

  • Enhanced security alignment with OpenShift standards

Known Limitations

  • Model availability is continuously updated