Orbit Issue Intelligence

Inspiration

In many software projects, users and testers find bugs before developers do. However, the information they provide is often incomplete, unclear, or difficult to translate into actionable development tasks.

A tester might report that a chatbot gives incorrect answers, a website breaks on mobile devices, or an ML model behaves unexpectedly. Developers then spend significant time reproducing the issue, searching through the codebase, identifying likely causes, and deciding what to investigate first.

We wanted to reduce this gap between user feedback and developer action by combining GitLab issue management with AI-powered repository analysis. Our goal was to create a reusable solution that can be plugged into different kinds of software projects and automatically transform raw bug reports into developer-ready GitLab issues.

What it does

Orbit Issue Intelligence is a plug-and-play AI issue triage agent that integrates with GitLab.

When a user or tester encounters a problem, they can submit a bug report through a simple reporting interface. The agent then:

Creates a GitLab issue automatically.
Analyzes repository context.
Identifies potentially relevant files and code areas.
Generates an AI-powered triage report.
Posts the analysis directly into the GitLab issue as a developer-friendly comment.

The generated triage includes:

AI understanding of the issue
Likely root cause
Relevant files to inspect
Suggested fixes
Testing recommendations
Confidence level

The same workflow can be used for:

Web applications
Chatbots and RAG systems
APIs
Python applications
Machine learning projects

How we built it

We built Orbit Issue Intelligence using Python and GitLab APIs.

Core Components

Python
Flask
GitLab REST API
Repository context extraction
AI-powered triage generation
HTML/CSS reporting interface

Workflow

User/Tester ↓ Bug Report Form ↓ Orbit Issue Intelligence ↓ GitLab Issue Creation ↓ Repository Context Analysis ↓ AI Triage Generation ↓ GitLab Comment with Fix Guidance