Leveraging AI for Predictive Analytics in Incident Management

{
  "title": "Leveraging AI for Predictive Analytics in Incident Management",
  "description": "This Cursor rule provides insights into using AI and machine learning to predict and prevent incidents before they occur, enhancing proactive incident management strategies.",
  "category": "DevOps",
  "rules": [
    {
      "name": "ai-predictive-analytics-implementation",
      "description": "Ensure AI models are integrated into the incident management pipeline to predict potential incidents.",
      "applyTo": "src/**/*.py",
      "patterns": [
        {
          "pattern": "def .*_predictor\\(.*\\):",
          "message": "Implement AI-based predictors to forecast incidents."
        }
      ]
    },
    {
      "name": "data-quality-checks",
      "description": "Validate the quality and completeness of data used for training AI models.",
      "applyTo": "data/**/*.csv",
      "patterns": [
        {
          "pattern": ".*",
          "message": "Ensure data is clean, complete, and up-to-date for effective AI predictions."
        }
      ]
    },
    {
      "name": "model-performance-monitoring",
      "description": "Monitor the performance of AI models to maintain accuracy in incident predictions.",
      "applyTo": "models/**/*.py",
      "patterns": [
        {
          "pattern": "def evaluate_model\\(.*\\):",
          "message": "Include evaluation metrics to assess model performance regularly."
        }
      ]
    },
    {
      "name": "incident-prevention-strategies",
      "description": "Develop strategies based on AI predictions to prevent incidents proactively.",
      "applyTo": "docs/**/*.md",
      "patterns": [
        {
          "pattern": "## Incident Prevention Strategies",
          "message": "Document proactive measures derived from AI insights to mitigate potential incidents."
        }
      ]
    },
    {
      "name": "continuous-improvement-loop",
      "description": "Establish a feedback loop to continuously improve AI models based on incident outcomes.",
      "applyTo": "src/**/*.py",
      "patterns": [
        {
          "pattern": "def update_model\\(.*\\):",
          "message": "Implement mechanisms to retrain models with new incident data for continuous improvement."
        }
      ]
    }
  ]
}