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Digibee debuts AI-based documentation for rapid understanding of pipeline integrations

Digibee, an integration Platform-as-a-Service (iPaaS) company that helps organizations build flexible, highly scalable integration architecture, is introducing the AI Generator for Pipeline Documentation—a capability leveraging generative AI (GenAI) practices to help enterprises understand their integration processes—to its integration platform.

The matter of integration documentation is a crucial component of guaranteeing optimal performance of integration pipelines within any system, according to Digibee.

Despite its significance, creating detailed, clear integration documentation is rarely a simple, quick task. The manual documentation process is often wrought with inconsistencies, inaccuracies, and communication gaps that become more detrimental than originally intended, according to the vendor.

Digibee’s AI Generator for Pipeline Documentation is engineered to revolutionize this experience, reducing the time and effort spent on the manual production and management of pipeline documentation. This capability aims to deliver greater comprehension and clarity in the understanding of integration processes—for both technical and business users alike—through holistic pipeline analysis.

“Integration is a very complex matter; there are a lot of moving parts,” said Peter Kreslins, co-founder and CEO of Digibee. “Our platform abstracts that complexity away, but even with that, figuring out a large integration that goes across organizations, tying together different data sources and services is a very hard job.”

“The pipeline documentation based on AI that we’re providing…helps you understand—using a lot of GenAI practices—what you need to do in order to evolve whatever integration process you're dealing with, or any type of issue that you're facing, with a click of a button,” Kreslins continued.

Integrating as a part of the pipeline building process, the AI Generator for Pipeline Documentation automatically summarizes a myriad of attributes that easily shed light on any system integrations. It further offers precise details on how integrations will be triggered, automatic lists of all the systems integrated into the pipeline, as well as lists of events sent within the pipeline.

The AI Generator for Pipeline Documentation also features global variables identification, which enables developers to comprehend variable usage, and account identification, which implements credential access adhering to best practices for security and compliance.

Diving deeper into security, the AI Generator for Pipeline Documentation does not leverage LLMs or public foundation models with customer’s confidential data. The capability only analyzes the metadata and structure of the pipeline, ensuring that any sensitive data stays protected.

While GenAI has seen rapid and explosive popularity in the past year, an issue that remains is explainability.

“It doesn't help if a GenAI agent helps us deliver code in one second, but I'm going to spend 10 hours debugging or understanding that code. We want it to generate code or integrations, or whatever it is, in one second, but I need to spend less time also understanding it,” explained Kreslins. “We're doing exactly that. We are generating [material] for our developers, but we're also letting them understand what's going on, giving them a whole picture, so they know where they are, what they're doing, [and] what they're changing.”

Looking ahead, the AI Generator for Pipeline Documentation will evolve in the areas of reusability, flow diagram generation, change tracking, and integration testing and optimization, according to the company.

To learn more about Digibee’s AI Generator for Pipeline Documentation, please visit https://www.digibee.com/.

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