Kiro Advanced Features

Enterprise configuration, team collaboration, and performance optimization solutions

Enterprise
Team Collaboration
Performance Optimization

Advanced Topics Overview

Master Kiro's advanced configuration and enterprise-level applications

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Enterprise Deployment Configuration

Secure, scalable Kiro deployment solutions for large organizations

Centralized configuration management
SSO single sign-on integration
Security policies and access control

Deployment Architecture

🌐 Cloud Deployment

Cloud service integration

🏢 On-premises

Private deployment in corporate intranet

🔄 Hybrid Deployment

Hybrid architecture: cloud + on-prem

Enterprise Configuration Files

Global Policy Configuration

enterprise-policy.json
{
  "security": {
    "enforce_sso": true,
    "allowed_domains": ["company.com"],
    "require_2fa": true
  },
  "features": {
    "disable_telemetry": true,
    "restrict_extensions": true
  },
  "compliance": {
    "audit_logging": true,
    "data_retention": "90d"
  }
}

Team Default Configuration

team-defaults.json
{
  "workspace": {
    "default_theme": "company-dark",
    "auto_save": 5000,
    "format_on_save": true
  },
  "ai": {
    "model_endpoint": "internal-llm",
    "context_limits": {
      "max_tokens": 8192
    }
  }
}

Collaboration Features

Configuration Sharing

Synchronize configuration files across teams

Code Review

AI-assisted collaborative review

Real-time Collaboration

Support for multi-user simultaneous editing

Team Collaboration Configuration

Build an efficient team development environment, unify standards, and improve collaboration

Unified development environment
Shared configuration templates
Role-based access control

Team Collaboration Config

Shared Steering Configuration

shared/team-standards.md

---
inclusion: always
team_scope: true
---

# Team Development Standards

## Unified Code Style
- Use the team's ESLint configuration
- All PRs must pass code review
- Follow Conventional Commits

## AI Usage Guidelines
- Do not send sensitive information to AI
- Use internal company AI models
- Manually review AI-generated code

## Collaboration Process
- Feature branch development model
- Daily standup code sync
- Regular tech sharing sessions

Permissions Configuration

{
  "roles": {
    "senior": {
      "permissions": ["*"],
      "ai_features": ["advanced"]
    },
    "junior": {
      "permissions": ["read", "basic_edit"],
      "ai_features": ["basic"],
      "require_review": true
    }
  }
}

Collaboration Hook

{
  "name": "团队代码审查",
  "trigger": "pre_commit",
  "actions": [
    "lint_check",
    "security_scan",
    "notify_reviewers"
  ],
  "team_notification": true
}

Performance Optimization Configuration

Significantly improve Kiro performance through proper configuration and optimization

内存和 CPU 优化
AI 响应速度优化
文件索引优化

优化策略

Resource Management

Intelligently allocate CPU and memory resources

Caching Strategy

Optimize AI model and data caching

Index Optimization

Speed up code search and analysis

Performance Optimization Config

Resource Limits

{
  "performance": {
    "memory": {
      "max_heap": "4GB",
      "gc_strategy": "incremental"
    },
    "cpu": {
      "max_threads": "auto",
      "priority": "high"
    },
    "ai": {
      "context_cache": true,
      "batch_requests": true
    }
  }
}

Index Optimization

{
  "indexing": {
    "exclude_patterns": [
      "node_modules/**",
      "*.log",
      "build/**"
    ],
    "incremental": true,
    "background_refresh": 30000,
    "compress_index": true
  }
}

Security Measures

🔒 Data Encryption

End-to-end encryption and data-at-rest protection

🛡️ Access Control

Role-based permissions management

📊 Audit Logs

Complete operation records and monitoring

Security Configuration Management

Comprehensive security policies to protect code assets and sensitive information

Code scanning and vulnerability detection
Sensitive information filtering
Compliance monitoring

Security Policy Configuration

Data Protection Configuration


{
  "security": {
    "data_protection": {
      "encrypt_at_rest": true,
      "encrypt_in_transit": true,
      "key_rotation": "monthly"
    },
    "sensitive_data": {
      "patterns": [
        "password",
        "api_key",
        "secret",
        "token",
        "credential"
      ],
      "action": "redact",
      "notify_admin": true
    },
    "code_scanning": {
      "enabled": true,
      "scan_on_save": true,
      "report_vulnerabilities": true
    }
  }
}

Access Control

{
  "access_control": {
    "authentication": {
      "method": "saml_sso",
      "require_mfa": true
    },
    "authorization": {
      "rbac_enabled": true,
      "default_role": "developer"
    }
  }
}

Audit Configuration

{
  "audit": {
    "log_level": "detailed",
    "events": [
      "login", "file_access",
      "ai_query", "config_change"
    ],
    "retention": "1year"
  }
}

Custom Workflows

Build automation flows tailored for your team

CI/CD Integration

Deep integration with CI/CD pipelines

  • • Trigger automated tests
  • • Code quality checks
  • • Deployment status monitoring

Development Process

Standardized development workflows

  • • Feature branch management
  • • Code review process
  • • Release management

Notification Integration

Multi-channel notifications and alerts

  • • Slack/Teams integration
  • • Email notifications
  • • Mobile push

Workflow Configuration Example

workflows/feature-development.yml

name: "Feature Development Workflow"
trigger:
  - feature_branch_created
  - pull_request_opened

steps:
  - name: "Code Quality Check"
    uses: "kiro/code-quality"
    with:
      lint: true
      security_scan: true
      
  - name: "AI Code Review"
    uses: "kiro/ai-review"
    with:
      context: "team-standards"
      auto_fix: true
      
  - name: "Automated Tests"
    uses: "kiro/test-runner"
    with:
      coverage_threshold: 80
      
  - name: "Notify Team"
    uses: "kiro/notify"
    with:
      channels: ["slack", "email"]
      message: "Feature {{feature_name}} is ready for review"

Monitoring and Analytics

Comprehensive usage monitoring and data analytics

Usage Stats

Feature usage frequency and user behavior analysis

Performance Metrics

Response time and resource usage monitoring

Productivity Analysis

Development efficiency and AI assistance impact

Anomaly Monitoring

Error logs and anomaly alerts

Monitoring Configuration

Metrics Collection

{
  "telemetry": {
    "enabled": true,
    "metrics": [
      "usage_stats",
      "performance",
      "errors"
    ],
    "endpoint": "internal-analytics",
    "batch_size": 100
  }
}

Alerts Configuration

{
  "alerts": {
    "performance": {
      "response_time_ms": 5000,
      "memory_usage_mb": 4096
    },
    "errors": {
      "error_rate_threshold": 0.05
    }
  }
}

Implementation Recommendations

Implement advanced features in phases to ensure a smooth transition

1

Infrastructure Preparation

Set up the base environment and configure security policies

  • • Determine deployment architecture
  • • Configure security policies
  • • Establish monitoring system
2

Team Training

Train team members and establish usage guidelines

  • • Feature training
  • • Best practice sharing
  • • Build internal documentation
3

Continuous Optimization

Collect feedback and continuously improve configurations

  • • Monitor usage
  • • Collect user feedback
  • • Periodic configuration tuning

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