Auto-Fix

Autonomous Remediation

Enable Autonoma to automatically fix issues before they impact your users

< 5ms
Fix Time
99.8%
Success Rate
0
Human Intervention

How Auto-Fix Works

Auto-Fix uses Autonoma's predictive models to identify issues and apply proven fixes automatically. Every fix is validated, tested, and can be rolled back instantly if needed.

1

Prediction & Analysis

Autonoma detects an issue pattern and analyzes potential fixes based on historical data and best practices.

{
  "prediction": {
    "type": "memory_leak",
    "confidence": 0.96,
    "impact": "high",
    "fix_available": true
  }
}
2

Validation & Testing

The proposed fix is validated against your test suite and analyzed for potential side effects.

Syntax Valid

Tests Pass

No Side Effects

3

Apply & Monitor

The fix is applied with continuous monitoring. Any anomalies trigger instant rollback.

Fix applied successfully. Memory usage reduced by 68%. No errors detected.

Configuring Auto-Fix

Basic Configuration

const autonoma = new Autonoma({
  apiKey: process.env.AUTONOMA_API_KEY,
  
  // Enable auto-fix globally
  autoFix: {
    enabled: true,
    confidence: 0.90,  // Minimum confidence threshold
    
    // Categories to auto-fix
    categories: [
      'memory-leaks',
      'performance',
      'null-reference',
      'resource-cleanup',
    ],
    
    // Safety settings
    rollback: {
      enabled: true,
      threshold: {
        errorRate: 0.01,      // 1% error rate triggers rollback
        responseTime: 200,    // 200ms latency triggers rollback
      }
    }
  }
});

Advanced Auto-Fix Rules

// Fine-grained control over auto-fix behavior
const autoFixConfig = {
  // Global settings
  enabled: true,
  dryRun: false,  // Test mode: log but don't apply
  
  // Category-specific rules
  rules: {
    'memory-leaks': {
      enabled: true,
      confidence: 0.95,
      maxFixesPerHour: 10,
      requireApproval: false,
    },
    'security-high': {
      enabled: false,  // Manual review required
      notifyChannels: ['email', 'slack'],
    },
    'database-migrations': {
      enabled: true,
      confidence: 0.99,
      requireApproval: true,
      approvers: ['team-lead@company.com'],
      schedule: 'maintenance-window',  // Only during maintenance
    },
    'performance': {
      enabled: true,
      confidence: 0.90,
      conditions: {
        timeOfDay: '02:00-06:00',  // Low traffic hours
        cpuUsage: '&lt; 50%',         // When resources available
      }
    }
  },
  
  // Exclusions
  exclude: {
    files: [
      '**/vendor/**',
      '**/node_modules/**',
      '**/*.min.js',
    ],
    patterns: [
      /GENERATED CODE/,
      /DO NOT MODIFY/,
    ]
  },
  
  // Notifications
  notifications: {
    beforeFix: true,
    afterFix: true,
    onRollback: true,
    channels: {
      slack: {
        webhook: process.env.SLACK_WEBHOOK,
        channel: '#autonoma-fixes',
      },
      email: {
        recipients: ['devops@company.com'],
      }
    }
  }
};

Rollback Configuration

Configure automatic rollback triggers to ensure safety:

{
  rollback: {
    enabled: true,
    automatic: true,
    
    // Triggers for automatic rollback
    triggers: {
      errorRate: {
        threshold: 0.01,      // 1% increase in errors
        window: '5m',         // Within 5 minutes
      },
      responseTime: {
        threshold: 1.5,       // 50% increase
        percentile: 'p95',    // 95th percentile
      },
      httpStatus: {
        5xx: { threshold: 10 },  // 10 server errors
        4xx: { threshold: 50 },  // 50 client errors
      },
      custom: [
        {
          metric: 'memory_usage',
          threshold: '&gt; 90%',
          duration: '2m',
        }
      ]
    },
    
    // Rollback behavior
    strategy: 'instant',      // 'instant' | 'gradual'
    notifyBeforeRollback: false,  // Don't wait for approval
    preserveData: true,       // Keep fix attempt data
  }
}

Auto-Fix Best Practices

Start Conservative

Begin with high confidence thresholds and gradually lower them as you build trust.

  • Start with 95%+ confidence
  • Enable for low-risk categories first
  • Monitor fix success rates

Version Control Integration

Track all auto-fixes in your version control system:

  • Auto-commit fixes with clear messages
  • Create fix branches for review
  • Tag releases with auto-fixes

Security Considerations

Maintain security while enabling auto-fix:

  • Require manual review for auth code
  • Exclude sensitive configuration files
  • Audit all auto-fix actions

Timing & Scheduling

Control when auto-fixes are applied:

  • Schedule during low-traffic periods
  • Respect maintenance windows
  • Rate limit fixes to prevent storms

Monitoring Auto-Fix

Dashboard Metrics

2,847
Issues Fixed
This Month
99.8%
Success Rate
Last 30 Days
3
Rollbacks
Last 30 Days
$45K
Saved
Prevented Downtime

Recent Auto-Fix Activity

Memory leak fixed in UserService.js

2 minutes ago • Confidence: 98%

-68% memory

SQL query optimization in analytics.py

15 minutes ago • Confidence: 94%

-85% latency

Rollback: Connection pool fix

1 hour ago • Error rate increased

Reverted

Common Auto-Fix Scenarios

Memory Leaks

Automatically adds cleanup code for event listeners, timers, and subscriptions.

// Before
componentDidMount() {
  window.addEventListener('resize', this.handleResize);
}

// After (Auto-fixed)
componentDidMount() {
  window.addEventListener('resize', this.handleResize);
}
componentWillUnmount() {
  window.removeEventListener('resize', this.handleResize);
}

Null Reference Errors

Adds null checks and optional chaining to prevent runtime errors.

// Before
const userName = user.profile.name;

// After (Auto-fixed)
const userName = user?.profile?.name || 'Guest';

Resource Optimization

Optimizes database queries, API calls, and resource usage patterns.

// Before
for (const user of users) {
  const profile = await db.query('SELECT * FROM profiles WHERE user_id = ?', user.id);
}

// After (Auto-fixed)
const userIds = users.map(u => u.id);
const profiles = await db.query('SELECT * FROM profiles WHERE user_id IN (?)', [userIds]);

Frequently Asked Questions

Is auto-fix safe for production?

Yes. Every fix is validated, tested, and monitored. Automatic rollback ensures safety. Start with high-confidence fixes and gradually expand as you build trust.

Can I review fixes before they're applied?

Yes. Configure requireApproval: true for any category. Autonoma will create pull requests for manual review instead of applying fixes directly.

What happens if a fix causes problems?

Autonoma continuously monitors key metrics after applying fixes. If any degradation is detected (increased errors, slower response times), the fix is automatically rolled back within seconds.

How do I track what's been auto-fixed?

All auto-fixes are logged in your Autonoma dashboard, sent to configured notification channels, and can be automatically committed to version control with detailed messages.

Ready to Enable Auto-Fix?

Start preventing issues automatically with zero human intervention