[BUG] Severe debugging performance degradation - 10+ failed attempts vs Codex 1-shot solution

Preflight Checklist

• [x] I have searched existing issues and this hasn't been reported yet
• [x] This is a single bug report (please file separate reports for different bugs)
• [x] I am using the latest version of Claude Code

What's Wrong?

Bug Report: Severe Debugging Performance Degradation

Subscription: Claude Max (Rp 2,181,250/month)
Platform: Claude Code in VS Code
Model: Claude Sonnet 4.5
Date Range: November 2025 (ongoing)

Issue Summary

Claude Code consistently fails to identify root causes in debugging scenarios, requiring 10+ attempts with multiple failed solutions, while competitors (Codex) identify the same issues in a single query.

Specific Examples

Case 1: SeedEdit API Integration

• Problem: API call failing
• Claude Code: 4+ failed debugging attempts
• Codex: 1 query, immediately identified root cause
• Result: Had to use Codex solution, Claude Code then accepted it and it worked

Case 2: SeedEdit Image Quality Issue (Real-time today)

• Problem: Poor image quality from API
• Claude Code: Still processing after 5+ minutes with multiple web searches
• Codex: Provided solution immediately
• Pattern: This happens EVERY TIME Claude Code gets stuck

Pattern Observed

1. Claude Code attempts surface-level fixes repeatedly
2. Does not identify root cause even after 10+ iterations
3. When given Codex's root cause analysis, immediately agrees and applies fix successfully
4. Wastes significant tokens and time in inefficient loops

Impact

• Productivity severely impacted
• Token waste (though unlimited, still affects performance)
• Forced to use competitor tools for critical debugging
• Questions value proposition of $140/month subscription

Expected Behavior

Claude Code should identify root causes efficiently, ideally within 2-3 attempts maximum for standard debugging scenarios.

Request

Investigation into why Claude Code's debugging performance has degraded, particularly in root cause analysis compared to competitor models.

What Should Happen?

Claude Code should identify root causes efficiently, ideally within 2-3 attempts maximum for standard debugging scenarios.

Error Messages/Logs

Steps to Reproduce

1. Open a project in VS Code with Claude Code extension
2. Encounter a bug in your code (e.g., API integration error, runtime error)
3. Ask Claude Code to debug the issue with context:

• Provide error message
• Share relevant code files
• Describe expected vs actual behavior

1. Observe Claude Code's debugging attempts over multiple iterations (10+ attempts)
2. Note that Claude Code:

• Tries surface-level fixes repeatedly
• Does not identify root cause
• Suggests solutions that don't resolve the issue

1. Compare: Ask the same question to OpenAI Codex
2. Observe: Codex identifies root cause in 1 attempt
3. Provide Codex's solution to Claude Code → Claude Code accepts it and it works

Specific Example (SeedEdit API):

• Error: API call to SeedEdit failing
• Context: Provided error logs and API integration code
• Claude Code: 4+ failed debugging attempts with different approaches
• Codex: Immediately identified authentication header issue
• Outcome: Applied Codex's fix, problem resolved

Claude Model

Sonnet (default)

Is this a regression?

I don't know

Last Working Version

_No response_

Claude Code Version

4.5

Platform

Anthropic API

Operating System

Windows

Terminal/Shell

VS Code integrated terminal

Additional Information

_No response_