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Overview

Bug fixing with Forge combines human debugging intuition with AI agent execution power. You identify and reproduce the bug, AI agents help fix it, and you verify the solution actually works.

The Bug Fixing Cycle


Step 1: Capture the Bug Report

Start with clear bug documentation.

Bug Report Template

Create a detailed task card with:

Step 2: Reproduce the Bug

Before fixing, ensure you can reliably reproduce it.

Create Reproduction Task

Why Reproduction Matters

Benefits of Reproduction

Confirms the bug existsProvides regression testDocuments exact conditionsVerifies fix actually works

Example Reproduction Test

The AI agent might create:

Step 3: Diagnose Root Cause

Use AI agents to help analyze the problem.

Diagnostic Approaches

Agent might find:

Step 4: Create Fix Tasks

Break down the fix into focused tasks.

Example: JSON Parsing Bug Fix


Step 5: Try Multiple Approaches

Use Forge’s multi-attempt feature to explore different solutions.

Approach Comparison

1

Attempt 1: Middleware Approach (Claude)

Pros: Standard Express pattern Cons: Only handles middleware errors
2

Attempt 2: Custom Parser (Gemini)

Pros: Full control over parsing Cons: Reinventing the wheel
3

Attempt 3: Wrapper with Validation (Cursor)

Pros: Validates before parsing Cons: Additional dependency

Compare Attempts

Decision Matrix:

Step 6: Verify the Fix

Never trust a fix without verification.

Verification Checklist

Tests should cover:
  • Missing closing bracket
  • Extra commas
  • Invalid escape sequences
  • Empty request body
  • Non-JSON content type
Ensure the fix didn’t break existing functionality.

Step 7: Add Regression Test

Prevent the bug from coming back.

Example Regression Test Suite


Step 8: Document the Fix

Update documentation to help prevent similar bugs.

Real-World Example: Memory Leak Bug

Here’s a complete bug fix workflow for a production memory leak:
1

Day 1 - Investigation

2

Day 2 - Fix Attempts

3

Day 3 - Verification & Ship


Bug Severity & Agent Strategy

Choose your approach based on bug severity:
Characteristics: Production down, data loss, security breachStrategy:

Pro Tips for Bug Fixing

Never start fixing until you have a failing test:
Good labels help with prioritization and analytics:

Common Bug Patterns

Null/Undefined Errors

Best Agent: Claude Code (thorough type checking)

Race Conditions

Best Agent: Claude Code (complex async logic)

Memory Leaks

Best Agent: Claude Code or Cursor CLI

Performance Issues

Best Agent: Try multiple, compare benchmarks

Next Steps

Feature Development

Build new features with confidence

Refactoring Workflow

Safe code improvements with AI

Code Review

Multi-agent PR review process

Testing Guide

Comprehensive testing strategies

Remember: Bugs are opportunities to improve. With Forge, you can experiment with multiple fix approaches in isolation, choose the best solution, and ensure it never happens again.