Ship Code. We'll Handle the Bugs

Cryer automatically detects and resolves errors in your projects — so your users stay happy and your team stays focused.

terminal

$ cryer init

Initializing Cryer in your project...

Scanning for potential error patterns...

✓ Connected to your codebase

✓ Integrated with test environment

✓ AI models initialized

$ cryer status

Cryer is actively monitoring your application

! Error detected in auth service

Analyzing root cause...

Generating fix...

✓ Fix generated and tested successfully

✓ Pushing fixes to the repository

✓ Error resolved in 47 seconds

How Cryer Works

Our AI-powered platform handles the entire error resolution lifecycle automatically.

// Error detected in production

Uncaught TypeError: Cannot read property 'user' of undefined

at AuthService.validateToken (auth.service.ts:42)

at LoginComponent.handleSubmit (login.component.ts:78)

// Cryer Analysis

Root cause identified: Missing null check before accessing user object

Impact: 247 users affected in last hour

Severity: High - Authentication flow blocked

1. Intelligent Error Detection

Cryer continuously monitors your application, detecting errors before they impact your users. Our AI analyzes patterns to identify the root cause instantly.

Real-time error monitoring across your entire stack
Advanced pattern recognition to identify error sources

// Original Code (auth.service.ts:42)

const username = response.data.user.username;

// Generated Fix

const username = response.data?.user?.username || 'guest';

// Fix Explanation

Added optional chaining to safely access nested properties

Added fallback value to handle undefined case

Prevents TypeError while maintaining expected behavior

2. AI-Powered Error Resolution

Once an error is detected, Cryer's AI generates multiple potential fixes, evaluating each one against your codebase to find the optimal solution.

Generates multiple fix candidates based on best practices
Considers your coding style and architecture patterns

// Test Environment Setup

✓ Provisioned containerized replica of production

✓ Loaded representative dataset

✓ Applied fix to test environment

// Test Execution

✓ Unit tests: 127/127 passed

✓ Integration tests: 54/54 passed

✓ End-to-end tests: 12/12 passed

✓ Performance benchmarks: +2% improvement

// Test Report Generated

✓ All acceptance criteria met

✓ No regressions detected

3. Test Environment Simulation

Before any human review, Cryer deploys the solution to an isolated test environment that precisely mirrors your production setup to validate the fix under real-world conditions.

Containerized production replicas using infrastructure-as-code
Comprehensive testing: unit, integration, and end-to-end tests

// Solution Review Interface

Fix Summary: Added optional chaining to prevent TypeError

Impact: Would resolve 247 current errors

// Test Results

✓ All test suites pass

✓ No performance degradation

✓ No security concerns

// Developer Actions

[✓] Approve

[ ] Request Changes

[ ] Reject

4. Human Review & Approval

Cryer presents the solution with complete test results to your team for review and approval, ensuring you maintain full control over what gets deployed.

Clear visualization of code changes with contextual explanation
Complete test report with coverage and performance metrics

// Process

✓ Created pull request #1247

✓ CI pipeline passed

✓ Auto-approved based on policy

✓ Merged to main branch

// Monitoring

✓ Error rate dropped to 0%

✓ No new occurrences detected

5. Push

Once approved, Cryer automatically pushes the fix to your connected repository, following your policies.

Pushes fix to the connected repository
Monitors post-deployment to ensure the fix resolves the issue

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