Hypothesis-Driven
Forms theories about bug causes based on symptoms, then systematically tests each hypothesis until finding the root cause.
Debugging is where Claude Code transforms from a helpful assistant into an indispensable detective. By combining deep code understanding, systematic analysis, and the ability to execute diagnostic commands, Claude can track down bugs that would take hours to find manually. This guide reveals debugging workflows that turn frustrating bug hunts into systematic problem-solving sessions.
Claude approaches debugging like an experienced developer would:
Hypothesis-Driven
Forms theories about bug causes based on symptoms, then systematically tests each hypothesis until finding the root cause.
Evidence-Based
Gathers concrete evidence through logs, stack traces, and code analysis rather than making assumptions.
Systematic Exploration
Traces execution paths, examines state changes, and identifies the exact point where expected behavior diverges from actual.
Reproduce the Issue
"I'm seeing this error when running npm test:TypeError: Cannot read property 'name' of undefinedCan you help me debug this?"
Gather Context
"Show me the full stack trace and the testthat's failing"
Form Hypotheses
"What are the possible causes of this errorbased on the code structure?"
Test Systematically
"Let's add console.log statements to tracethe data flow and find where 'name' becomes undefined"
Apply Fix
"Based on what we found, implement a fixthat handles the undefined case"
Verify Solution
"Run the tests again to confirm the fix works"
One of Claude’s most powerful debugging features is real-time log analysis:
# Stream logs to Claude for analysistail -f app.log | claude -p "Monitor for errors and anomalies"
# Claude will:# - Identify error patterns# - Correlate related events# - Suggest root causes# - Alert on critical issues
# Find specific patterns in logsclaude "Analyze the last 1000 lines of app.log for:- Error frequency by type- Unusual patterns- Performance degradation signs- Correlation with recent deployments"
# Correlate logs across servicesclaude "Compare timestamps in api.log and database.logto find the sequence of events leading to the timeout error"
Create specialized debugging commands:
Analyze the provided logs for: $ARGUMENTS
1. Identify all error types and their frequency2. Find patterns in error timing3. Correlate errors with specific user actions4. Identify potential root causes5. Suggest debugging steps for each issue6. Create a priority list based on impact
Format output as:- Executive summary- Detailed findings- Recommended actions
Claude excels at unraveling complex stack traces:
Stack Trace Workflow
"Here's a stack trace from production:[paste full stack trace]
Please:1. Identify the root cause2. Trace through the call stack3. Find the exact line where the error originates4. Explain what's happening at each level5. Suggest fixes"
For applications with multiple languages:
"This error spans Python backend and JavaScript frontend:[paste multi-language stack trace]
Trace the error flow across language boundaries andidentify where the data corruption occurs"
Claude can analyze UI bugs through screenshots:
Capture the Bug
Cmd+Ctrl+Shift+4
Win+Shift+S
Share with Claude
"Here's a screenshot showing the layout bug[paste image with Ctrl+V]The button should be aligned left but appears centered"
Get Targeted Analysis Claude will:
"The React component isn't re-rendering when state changes.Here's a screenshot of React DevTools showing the state[paste screenshot]
Debug why the component isn't updating"
Reconstruct the sequence of events leading to a bug:
"This bug started appearing last week.Use git history to:1. Find commits from last week2. Identify changes to authentication code3. Correlate with when users reported issues4. Pinpoint the problematic commit"
"Create a debug script that:1. Recreates the exact state before the bug2. Steps through each operation3. Logs state changes at each step4. Identifies where state becomes invalid"
"Analyze the audit logs to understand:- What actions the user took- The order of operations- Any concurrent requests- The final state that caused the error"
Profiling Analysis
"The app is running slowly. Profile the code and:- Identify bottlenecks- Find O(n²) algorithms- Detect memory leaks- Suggest optimizations"
Query Optimization
"These database queries are timing out:[paste slow query logs]- Analyze query execution plans- Identify missing indexes- Suggest query rewrites"
Memory Debugging
"Memory usage keeps growing. Help me:- Find memory leaks- Identify circular references- Track object allocation- Implement fixes"
Network Debugging
"API calls are failing intermittently:- Analyze network logs- Check for timeout patterns- Identify retry logic issues- Suggest resilience improvements"
Identify Symptoms
"Users report intermittent login failures.It works sometimes but not others.Suspect a race condition."
Analyze Concurrency
"Find all concurrent operations in the login flow.Look for shared state access without proper synchronization."
Add Instrumentation
"Add logging with timestamps to track the exactorder of operations when the bug occurs"
Implement Fix
"Add proper locking/synchronization to preventthe race condition"
// Ask Claude to analyze for leaks"Review this code for potential memory leaks:- Event listeners not removed- Closures holding references- Circular dependencies- Large objects in caches"
// Claude provides specific fixes:// - Add cleanup in useEffect// - Implement WeakMap for caches// - Break circular references
"This pagination is showing 11 items instead of 10.Debug the off-by-one error in the calculation."
// Claude will:// - Trace boundary conditions// - Check loop iterations// - Verify array indexing// - Fix fence-post errors
Bug Reproduction Pattern
"Create a minimal test case that reproduces this bug:- Strip away unrelated code- Isolate the failing component- Make it fail consistently- Document expected vs actual behavior"
"This test is failing unexpectedly:[paste failing test]
Debug by:1. Adding console.logs to trace execution2. Checking mock setup3. Verifying assertions4. Running in isolation"
"The integration test passes locally but fails in CI:- Compare environments- Check for timing issues- Verify external dependencies- Add debugging output"
"This test fails randomly 20% of the time:- Identify non-deterministic behavior- Add explicit waits where needed- Mock time-dependent operations- Ensure proper cleanup"
Gather Evidence Without Impact
"Analyze production logs without running anycommands that could affect users"
Create Local Reproduction
"Based on production data, create a localenvironment that reproduces the issue"
Test Fix in Staging
"Deploy the fix to staging and verify withproduction-like data"
Monitor Deployment
"Create monitoring alerts for the specificerror pattern before deploying the fix"
Create powerful debugging shortcuts:
Debug the error: $ARGUMENTS
1. Search codebase for error message2. Find all code paths that could trigger it3. Analyze recent changes to those files4. Check for similar past issues5. Propose fixes with explanations
Automate debugging workflows with hooks:
{ "hooks": [ { "matcher": "Bash", "hooks": [ { "type": "command", "command": "if [[ \"$CLAUDE_TOOL_OUTPUT\" =~ error ]]; then echo '🔍 Error detected - running diagnostics...'; fi" } ] } ]}
Debugging Anti-Patterns to Avoid
❌ Changing multiple things at once - Test one hypothesis at a time ❌ Ignoring error messages - Read them carefully, they often contain the answer ❌ Assuming without verifying - Always confirm your theories with evidence ❌ Debugging in production first - Reproduce locally whenever possible ❌ Not checking the basics - Verify configuration, environment, and dependencies ❌ Skipping the reproduction step - Always reproduce before attempting to fix
Document your debugging patterns:
# CLAUDE.md additions for debugging
## Debugging Process1. Always create a test that reproduces the issue2. Use our standard logging format3. Check these common causes first: - Environment variables - Database connections - API timeouts - Cache invalidation
## Debug Commands- `npm run debug` - Start with debugging enabled- `npm run analyze:logs` - Run log analysis- `npm run trace` - Enable detailed tracing
After fixing bugs, learn from them:
"Create a post-mortem document for this bug:- Root cause analysis- Timeline of events- What went wrong- How to prevent similar issues- Monitoring improvements needed"
Debugging with Claude Code transforms one of programming’s most frustrating activities into a systematic, almost enjoyable process. By combining Claude’s code understanding, pattern recognition, and ability to execute diagnostic commands, you can track down bugs faster and more reliably than ever before. The key is to approach debugging methodically – gather evidence, form hypotheses, test systematically, and learn from each bug to prevent future occurrences. With these workflows, you’ll spend less time hunting bugs and more time building features.