Engineering
Flowable Engines 6.2.1
We have released an update to our open source BPMN, CMMN and DMN engines. In addition to a number of bug fixes, there is also a significant set of improvements.
The new CMMN 1.1 Engine is still tagged as experimental, but we’ve continued to fill out functionality towards it becoming fully supported in the next major release. Additions in 6.2.1 include timer support, repetition support, DMN and HTTP task support and variable query support. At design time, there is now an enhanced CMMN Modeler palette with timer event listeners, DMN and HTTP tasks, as well as additional properties, such as timer expressions and repetition expressions. There are also improvements in the support of CMMN in the Flowable Task app.
REST documentation is now also generated from the Swagger definitions, which ensure it is always in sync with the REST controller code.
Finally, we have improved the ChangeActivityStateBuilder to move an execution in a process instance to another activity that’s part of the process definition. This brings the potential to implement any number of powerful process management features.
You can download the updated engines at flowable.org
Tools like ChatGPT can handle a variety of business tasks, automating nearly everything. And it’s true, GenAI really can do a wide range of tasks that humans do currently. Why not let business users work directly with AI then? And what about Agentic AI?
In the past few months, this has culminated into a clear understanding of the strengths and weaknesses of the Generative AI (GenAI) technology; and where it makes sense to integrate with it and – perhaps more important – where it doesn’t make sense.
As AI gains prominence as a pivotal technology and enterprises increasingly seek to leverage its capabilities, we are actively exploring diverse avenues for integrating AI into process automation.