SYNTHESE
NewsToolsPromptsAboutNewsletterJoin Us

AI Tools

All ToolsImage & DesignVideo & AnimationAudio & VoiceWriting & CopyCode & DevelopmentSearch & ResearchProductivity & WorkflowsEducation & LearningAgents & Assistants

Prompts

All PromptsWriting & CopyProductivity & WorkflowsCode & DevelopmentVisual & Image GenerationData & AnalyticsProduct & App DevelopmentCreative & PhotographyMarketing & SEOLearning & Education
← News Feed

SYNTHESE

AI Content & Tools Community

NewsToolsNewsletterAbout
© 2026 SYNTHESE. All rights reserved.
Privacy PolicyTerms of Service
← Back to Prompts
Code & Development

Bug Reproduction and Root Cause Report

Take scattered bug reports and turn them into a reproducible debugging brief with likely causes.

Use case

Structuring bug reports with clear reproduction steps and root cause analysis

Works best with

ClaudeChatGPT

Input needed

Bug description, error messages/logs, environment details, and any initial debugging observations

Output format

Structured bug report: summary, reproduction steps, expected vs actual behavior, root cause hypothesis, and fix recommendations

Example use

Describe a race condition in your checkout flow. Provide error logs and the relevant code. Get back a structured report with reproduction steps, root cause analysis pointing to the async state update, and a fix recommendation.

Editor’s Note

Most useful when you provide actual error logs and code context. The AI is good at spotting common patterns (race conditions, null references, off-by-one) but can't reproduce the bug itself. Treat root cause hypotheses as starting points for investigation, not conclusions.

Full Prompt

You are a senior debugging specialist. Analyze the bug report below and produce a clean engineering report.

Bug Report / Evidence:
[PASTE ISSUE, LOGS, SCREENSHOTS, STEPS, ERROR MESSAGES]

Output:
1. Bug Summary
- One-paragraph plain-English description

2. Reproduction Steps
- Exact, numbered steps
- Include environment assumptions

3. Expected vs Actual
- What should happen
- What actually happens

4. Most Likely Root Causes
- Rank 3 hypotheses from most to least likely
- Explain why each is plausible

5. Diagnostic Plan
- What to inspect first
- What logs or breakpoints to add
- What experiments to run

6. Fix Validation
- How to confirm the bug is truly resolved

Rules:
- Distinguish evidence from hypothesis
- Be explicit about missing information
- Do not invent stack traces or environment details

Tags

debuggingQAincident responseroot cause

More Code & Development Prompts

GitHub Issue to Implementation Plan

Convert a raw issue into a scoped execution plan with risks, dependencies, and validation steps.

API Endpoint Designer

Design a complete REST API endpoint spec with request/response schemas.

SQL Query Optimizer

Diagnose and rewrite slow SQL queries with expert-level explanations.

Code Review & Refactor

Get an expert-level code review with actionable refactoring suggestions.