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powered by sentry ai

Error Prediction Showcase

This demo showcases various error-prone code patterns that Sentry's AI should be able to predict and prevent. Each pattern represents a common source of runtime errors in JavaScript/TypeScript applications.

Sentry Error Prediction Demo

These buttons demonstrate various error-prone patterns that Sentry's AI should be able to predict:

  • • Null pointer exceptions
  • • Array index out of bounds
  • • Unsafe nested object access
  • • Unhandled async errors
  • • Type coercion issues
  • • Division by zero
  • • Undefined string operations
  • • Race conditions
  • • Infinite loops
  • • Stack overflow from recursion

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About Sentry Error Prediction

Sentry's AI-powered error prediction analyzes your code patterns and historical error data to predict potential issues before they occur in production.

The system can identify patterns like null pointer exceptions, type mismatches, async/await issues, array bounds errors, and other common JavaScript/TypeScript pitfalls.

By catching these patterns early, teams can fix issues before they impact users, reducing downtime and improving overall application reliability.

Error Patterns Demonstrated

Null Pointer Access

Accessing properties on potentially null objects

Array Index Errors

Accessing array elements without bounds checking

Nested Object Access

Unsafe deep property access without optional chaining

Unhandled Async Errors

Missing error handling in async/await operations

Type Coercion Issues

Implicit type conversions leading to unexpected results

Division by Zero

Mathematical operations without validation

String Operations on Undefined

String methods called on potentially undefined values

Race Conditions

State updates that could lead to inconsistent behavior

🚀 Try It Out

Click the buttons above to trigger various error scenarios. In a real application with Sentry configured, these patterns would be detected by the AI before they cause issues in production.

Learn more: Sentry Error Prediction Documentation

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