Core Concepts

Continuous Learning System

How Autonoma gets smarter every day by learning from your unique codebase

24/7
Learning
100%
Private
∞
Improvement

Adaptive Intelligence

Autonoma's learning system continuously evolves by observing your development patterns, understanding your codebase's unique characteristics, and learning from every prediction and fix. This creates a custom AI that becomes an expert in your specific software.

Code Evolution

Learn from every commit, PR, and code change

Runtime Behavior

Understand performance patterns and bottlenecks

Team Patterns

Adapt to your team's coding style and preferences

Outcome Feedback

Learn from prediction accuracy and fix success

The Learning Process

1

Initial Learning (Days 1-7)

Autonoma performs deep analysis of your entire codebase to establish baselines:

Code Analysis

  • • Architecture patterns
  • • Coding conventions
  • • Dependency relationships
  • • Common anti-patterns

Historical Learning

  • • Past bugs and fixes
  • • Performance trends
  • • Deployment patterns
  • • Team workflows

Result: Custom baseline models trained specifically for your codebase

2

Active Learning (Ongoing)

Continuous improvement through real-time observation and feedback:

Real-time Updates

Models update continuously as new code is written and deployed

Prediction Validation

Every prediction outcome is tracked to improve future accuracy

Pattern Discovery

Automatically discovers new patterns unique to your application

3

Deep Personalization (30+ Days)

After a month, Autonoma becomes deeply personalized to your specific needs:

What Autonoma Knows

  • ✓Your team's coding patterns
  • ✓Common error patterns
  • ✓Performance bottlenecks
  • ✓Deployment rhythms

Personalized Capabilities

  • →Custom fix generation
  • →Team-specific suggestions
  • →Workflow optimization
  • →Proactive recommendations

Learning in Action

Learning from Code Patterns

Observation

Your team consistently uses React hooks with cleanup functions for WebSocket connections

Learning

Autonoma now generates fixes using the same pattern when detecting WebSocket leaks

// Autonoma learned to generate fixes matching your style
useEffect(() => {
  const ws = new WebSocket(url);
  
  ws.onmessage = handleMessage;
  ws.onerror = handleError;
  
  return () => {
    ws.close(); // Cleanup pattern Autonoma learned from your code
  };
}, [url]);

Learning from Performance Patterns

Observation

Database queries slow down every Monday morning due to weekly report generation

Learning

Autonoma now pre-scales database connections Sunday night and optimizes queries before Monday load

Before Learning

Monday slowdowns affected 15,000 users

After Learning

Zero performance impact, proactive scaling

Learning from Team Behavior

Observation

Your team always adds comprehensive error handling to payment-related code

Learning

Autonoma now suggests enhanced error handling for any code touching payment systems

// Autonoma suggests comprehensive error handling for payment code
try {
  const payment = await processPayment(order);
  await logPaymentSuccess(payment);
  return { success: true, payment };
} catch (error) {
  await logPaymentError(error, order);
  await notifyPaymentTeam(error);
  await createPaymentRetryJob(order);
  return { success: false, error: sanitizeError(error) };
}

Privacy-First Learning

Your Code Stays Private

Autonoma's learning system is designed with privacy and security at its core:

Isolated Learning

  • ✓Models trained exclusively on your data
  • ✓Complete tenant isolation
  • ✓No cross-customer data sharing
  • ✓On-premise deployment option

Data Protection

  • ✓End-to-end encryption
  • ✓No storage of sensitive code
  • ✓Automatic PII redaction
  • ✓SOC 2 & ISO 27001 certified

Industry Learning: While your data remains private, Autonoma uses aggregated, anonymized patterns from the industry to improve base models. This gives you the benefit of collective knowledge while maintaining complete privacy.

Measuring Learning Progress

Learning Effectiveness Over Time

Prediction Accuracy78% → 94%

+16% improvement after 30 days

Fix Success Rate85% → 99.8%

+14.8% improvement through learning

Pattern Recognition243 → 1,847 patterns

7.6x more patterns discovered

Prediction Speed450ms → Under 45ms

10x faster with optimized models

67%

Fewer false positives

4.2x

More issues prevented

89%

Dev satisfaction

The Feedback Loop

Every interaction with Autonoma contributes to its learning:

✓

Accepting a fix

Reinforces the pattern and increases confidence for similar fixes

✗

Rejecting a fix

Helps Autonoma understand what doesn't work for your team

✏

Modifying a suggestion

Teaches Autonoma your preferred approach for future suggestions

👍

Prediction outcomes

Whether predictions were accurate improves future forecasting

Ready to Explore Advanced Features?

Dive deeper into Autonoma's advanced capabilities

Custom WorkflowsBest Practices