Inspiration
Every day, software teams rely on CI/CD pipelines to build, test, and deploy applications. When a pipeline fails, developers often spend hours searching through logs, reviewing commits, checking dependency changes, and comparing previous builds to identify the root cause. This manual investigation process slows development, delays releases, and reduces productivity.
To solve this problem, we developed GitLab RCA Agent, an AI-powered Root Cause Analysis platform that automates pipeline failure investigations. The system analyzes build logs, commit history, dependency modifications, and historical pipeline data to determine the most likely cause of failure. It then generates an investigation report containing the root cause, supporting evidence, confidence score, and recommended fix.
With GitLab RCA Agent, developers no longer need to manually inspect thousands of log lines. The platform reduces debugging time from hours to minutes, accelerates software delivery, improves deployment reliability, and allows teams to focus on innovation rather than trouble shooting.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for AI ROOT CAUSE INVESTIGATION AGENT
Built With
- ai-agents
- and
- cause
- ci/cd-automation
- css
- dependency-analysis
- docker
- fastapi
- gitlab-orbit
- gitlab-rest-api
- html
- javascript
- langgraph
- log-analysis
- multi-agent-architecture
- openai-api
- python
- react.js
- root
- sql
- sqlalchemy
- sqlite
- uvicorn
- vite
- webhooks
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