Application Modernization

Hi everyone,I wanted to share a concise "blueprint" for modernizing legacy MultiValue systems without the high risk and cost of a full rewrite. We built an MV modernization framework, and developed a strategy to gradually evolve green-screen, terminal-oriented applications into API-driven architectures and applications using the Strangler Fig Pattern.Key highlights of this approach: No Data Migration: Keep your data exactly where it is while using Rocket MVIS to expose it via standard APIs. Leverage Existing Skills: No need to learn new languages or complex stacks; the framework builds directly on your existing MV logic. Minimal Risk & Cost: Modernize incrementally at a fraction of the cost of a migration. Team Renewal: A "symbiotic" model that pairs veteran MV experts with new-gen developers to bridge the talent gap. We’ve put together a short video walking through the architecture of the framework, and how to start the transition:Modernizing MultiValue Applications: The Ale

With the shift from simple LLMs to transformative Agentic AI, we know an AI Revolution is coming, bringing significant changes in the near future.But a new question must be asked: Is your MV application ready to join the AI Revolution?MV application modernization is the key to leveraging AI, but when you really try to modernize, you will most likely run into a critical architectural roadblock that stalls progress.Find out what the real MV application modernization challenge is and, more importantly, how to overcome it:Watch the full video here: Is Your MultiValue App Ready to Join the AI Revolution?We invite you to watch, comment, and share your thoughts on the MV modernization journey!

ESEARCH has been around for a long time, PESEARCH has been designed to expand on / replace the ESEARCH utility to allow Python RegEx Search Patterns and the ability for case insenstive searchs. Installation StepsRemove the .txt extensions from the attachments To install use the attached PESEARCH UniBasic program and Pesearch python function. Compile and Catalog the PESEARCH program. Install the Pesearch python script into a python location that can be located by UniVerse / UniData. Extra Steps for UniDataIf you are using UniData please also see the related article around to avoid running any LOGIN paragraph a second time and why this has to been done. In summary PESEARCH sets @USER.RETURN.CODE to "PY" and back to any previous setting so that @USER.RETURN.CODE can be tested in the LOGIN paragraph.LOGIN:PAIF @USER.RETURN.CODE = "PY" THEN GO 200200: Extra Steps for UniVerseBy default UniVerse will not keep a select list active when a basic program completes (UniData does).  In order to ge