Find and fix bugs faster with intelligent error analysis, automated root cause detection, and AI-suggested solutions.
Instant root cause detection
AI analyzes stack traces, identifies patterns, and pinpoints the exact cause of errors.
AI-powered fix recommendations
Get intelligent suggestions for fixing bugs based on code context and best practices.
Bottleneck detection
Identify performance issues and get optimization recommendations.
Proactive issue identification
AI monitors your application and alerts you to potential issues before they become bugs.
// AI-Assisted Debugging
import { MCPDebugger } from '@mcpcodex/debug';
const debug = new MCPDebugger({
model: 'claude-3-opus',
verbosity: 'detailed'
});
// Automatic error analysis
debug.catch(async (error) => {
// AI analyzes the error
const analysis = await debug.analyze(error);
console.log('Error Type:', analysis.type);
console.log('Root Cause:', analysis.rootCause);
console.log('Stack Analysis:', analysis.stackAnalysis);
// AI suggests fixes
const fixes = await debug.suggestFixes(error);
fixes.forEach(fix => {
console.log(`Fix ${fix.confidence}% confidence:`);
console.log(fix.description);
console.log(fix.code);
});
// AI checks for similar issues
const similar = await debug.findSimilarIssues(error);
console.log('Similar issues found:', similar.length);
});
// Intelligent breakpoints
debug.setSmartBreakpoint({
condition: 'When user authentication fails',
analyze: ['user', 'session', 'request'],
trace: true
});
// Performance Debugging
import { MCPProfiler } from '@mcpcodex/debug';
const profiler = new MCPProfiler();
// AI identifies performance bottlenecks
async function processData(data: any[]) {
const trace = profiler.start('processData');
// Your code here
const results = await complexOperation(data);
// AI analyzes performance
const analysis = trace.end();
if (analysis.isBottleneck) {
console.warn('Performance Issue Detected:');
console.log('Duration:', analysis.duration, 'ms');
console.log('Memory Delta:', analysis.memoryDelta, 'MB');
// AI suggests optimizations
const optimizations = await profiler.suggestOptimizations(
'processData',
analysis
);
optimizations.forEach(opt => {
console.log(`Optimization: ${opt.impact} impact`);
console.log(opt.description);
console.log('Before:', opt.before);
console.log('After:', opt.after);
});
}
return results;
}
// AI monitors for memory leaks
profiler.watchMemoryLeaks({
threshold: 100, // MB
callback: (leak) => {
console.error('Memory leak detected:', leak.location);
console.log('Suggested fix:', leak.fix);
}
});
// Real-time Debugging Interface
import { MCPLiveDebug } from '@mcpcodex/debug';
const liveDebug = new MCPLiveDebug({
port: 9229,
ui: true // Opens debugging UI
});
// Connect to running application
liveDebug.connect(process.pid);
// AI watches variable changes
liveDebug.watch('user.session', (oldVal, newVal) => {
console.log('Session changed:', { oldVal, newVal });
// AI detects anomalies
if (liveDebug.isAnomaly(newVal)) {
console.warn('Anomaly detected in session data');
liveDebug.snapshot(); // Capture state
}
});
// Interactive debugging with AI
liveDebug.on('breakpoint', async (context) => {
// AI analyzes current state
const state = await liveDebug.analyzeState(context);
console.log('Current State Analysis:');
console.log('Variables:', state.variables);
console.log('Call Stack:', state.callStack);
console.log('Predictions:', state.predictions);
// AI suggests next debugging steps
const nextSteps = await liveDebug.suggestNextSteps(context);
console.log('Suggested actions:', nextSteps);
});
Set conditional breakpoints using natural language. AI understands context like "break when user login fails" or "pause when memory exceeds 100MB".
AI predicts potential issues before they occur by analyzing code patterns, data flow, and historical bug data.
Record application state over time and replay execution to understand how bugs occurred. AI helps identify the exact moment things went wrong.
Share debugging sessions with team members. AI provides context and explanations to help everyone understand the issue.
Try our interactive debugging playground to see AI debugging in action.