Automated Log Enhancement for Uipath projects using AI

Members only Use Cases Repository
, , , ,
1

Automated Log Enhancement For UiPath Projects Using AI

Use Case Description

This UiPath project automatically adds log messages to existing UiPath workflows by analyzing XAML files and using the Gemini AI API to generate contextual log messages for each activity.

Developers define tags for logging actions, and the system adds the corresponding log commands using Gemini AI technology, resulting in a new, fully logged XAML file ready for deployment. This project reduces the workload on developers, allowing them to focus on business logic development and improving the overall quality of projects.

AS-IS WORKFLOW, TO-BE WORKFLOW

-

The image compares a project before and after automatically adding log activities, with log messages inserted at key points in the workflow on the right side. (Captioned by AI)
The image compares a project before and after automatically adding log activities, with log messages inserted at key points in the workflow on the right side. (Captioned by AI)1118×713 81.1 KB

Other information about the use case

Industry categories for this use case: Information Technology and Services

Skill level required: Intermediate

UiPath Products that were used: UiPath Studio

Other applications that were used: -

Other resources: -

What is the top ROI driver for this use case?: Accelerate growth and operational efficiency