AutoPilot AI: Autonomous Enterprise Workflow Engine

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  autodev issue helper flow

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  Repository

Inspiration

Developers spend a significant amount of time understanding issues, breaking them into tasks, estimating effort, and identifying risks before writing any code. This process is repetitive, time-consuming, and often inconsistent across teams. I wanted to build a solution that could automatically convert any GitLab issue into a clear,

What it does

AutoDev Issue Helper Flow is an AI-powered GitLab Duo Flow that:

• Reads the issue title and description
  
• Understands requirements and technical scope
  
• Generates a complete development plan including:
  • Summary
    
  • Step-by-step implementation checklist
    
  • Risk assessment
    
  • Dependencies
    
  • Testing strategy
    
  • Suggested branch name
    
• Posts the plan directly as a comment on the issue

How we built it

The project is built using the GitLab Duo Agent Platform with an ambient flow configuration.

Key components include:

• AgentComponent for intelligent planning
  
• Prompt engineering to ensure structured and consistent outputs
  
• GitLab Duo tools:
  • get_work_item to fetch issue details
    
  • create_work_item_note to post the generated plan
    
  • list_work_items to identify related dependencies
    
  • update_work_item to set issue health status
    The flow logic is defined in autodev_flow.yml and synced using the AI Catalog mapping system.

Challenges we ran into

• Understanding the GitLab Duo Flow schema and configuration
  
• Debugging CI/CD pipeline validation issues
  
• Handling catalog sync delays where updates were not immediately visible
  
• Designing prompts that consistently generate structured, high-quality outputs

Accomplishments that we're proud of

• Successfully built a working AI flow that performs real GitLab actions
  
• Reduced development planning time from minutes to seconds
  
• Achieved consistent and structured outputs for different types of issues
  
• Fully integrated the solution within GitLab’s ecosystem
  

What we learned

• How to design and structure AI workflows using GitLab Duo
  
• The importance of prompt engineering for reliable AI outputs
  
• How to integrate automation directly into developer workflows
  
• Debugging and optimizing CI/CD pipelines for AI-based systems

What's next for AutoPilot AI: Autonomous Enterprise Workflow Engine

• Automatic label and priority assignment
  
• Effort estimation using story points
  
• Deeper dependency mapping across issues
  
• Integration with CI/CD pipelines for automated execution
  
• Multi-agent collaboration for complex workflows

Built With

• ai
• gitlab-apis
• gitlab-duo-agent-platform
• prompt-engineering
• yaml