Agent Pageant submission type
Maestro Mind (Maestro Orchestration Track)
Full name
Mateusz Zybert
Team name
Repo Rangers
Team members
Emil Kozub, Izabela Pożycka, Mateusz Zybert
How many agents do you use
Multiple agents
Industry category in which use case would best fit in (Select up to 2 industries)
Information technology and services
Complexity level
Advanced
Summary (abstract)
From Code to Compliance – Fully Automated is a BPMN automation solution that autonomously evaluates automation projects and generates always up‑to‑date technical documentation directly from source code and runtime data. By combining AI based code analysis, human in the loop governance, and automated documentation maintenance, the solution removes repetitive manual work from developers and QA specialists while improving consistency, quality, and delivery speed.
Detailed problem statement
Modern automation projects still rely heavily on manual governance activities, particularly code reviews and technical documentation. Code reviews are time‑consuming, inconsistently applied, and often require senior engineers to spend significant effort on repetitive validation tasks. At the same time, technical documentation is usually created after development and quickly becomes outdated, making it unreliable as a source of truth.
This creates a gap between implementation and governance: teams either slow down delivery to maintain quality or sacrifice consistency and documentation accuracy to meet deadlines. The challenge is to introduce governance that scales with development speed, remains accurate over time, and minimizes manual effort without removing human oversight where it is truly needed.
Detailed solution
Code to Compliance - Fully Automated is an AI-powered autonomous governance accelerator built on the UiPath Platform. Users start the process in a UiPath App within Automation Cloud, while UiPath Data Fabric provides key mapping data and triggers the Agentic Process whenever a new Data Entity is added.
The solution pulls code from Azure DevOps, where an AI Agent created in UiPath Agent Builder analyzes it against internal engineering and governance standards, producing a quality score and targeted remediation recommendations. When risks, exceptions, or policy breaches are found, UiPath Actions acts as the Escalation App, enabling seamless human review only where it adds value.
At the same time, an AI Agent automatically creates and updates technical documentation in Atlassian Confluence, ensuring knowledge stays current through idempotent publishing.
Repo Rangers reimagines governance as a smart, event-driven, and scalable enterprise process - combining AI, automation, and human oversight in one unified UiPath-powered solution.
Narrated video link (sample: https://bit.ly/4pvuNEL)
Expected impact of this automation
Repo Rangers delivers measurable time savings by reducing manual documentation effort (approximately 2–3 hours per project) and QA code review effort (approximately 3.5 hours per project), resulting in an average reduction of 5–6.5 engineering hours per project. These savings scale linearly with the number of projects delivered.
Beyond measurable impact, the solution ensures documentation is always up to date, reduces delivery bottlenecks caused by manual governance, and significantly improves developer and QA experience by eliminating repetitive, low-value work while preserving accountability and quality.
UiPath products used (select up to 4 items)
UiPath AI Center
UiPath Agent Builder
UiPath Apps
UiPath Maestro
Automation Applications
Git by Azure DevOps, UiPath Orchestrator, Confluence
Integration with external technologies
Open AI
Agentic solution architecture (file size up to 4 MB)
Sample inputs and outputs for solution execution
Inputs: source code for (for 2 projects)
Output: RPMD-extract form Confluance, QRD-extract form Confluance, Maestro’s logs (for 2 projects)