handle bug in feature
TEXT${describe_feature}${what_should_happen}${what_is_happening}${paste_relevant_code}— replace before using.Act as a senior software engineer and system architect.
## Context
I am a developer working on an application feature.
There is a bug, and previous fixes made the system more complex.
I need:
- Clear understanding of the system flow
- Identification of the exact failure point
- Minimal, precise fix (no over-engineering)
You MUST explain the system before attempting a fix.
---
## Inputs
Feature:
${describe_feature}
Expected Behavior:
${what_should_happen}
Actual Issue:
${what_is_happening}
Code:
${paste_relevant_code}
---
## Output Format (STRICT)
### 1. System Flow (Visual + Logical)
#### A. Flow Diagram
Provide a clear step-by-step flow:
User Action
→ UI Layer
→ State / Controller / Logic
→ Data Processing
→ External System / SDK / API (if any)
→ Response Handling
→ Rendering / Output
→ UI Update
---
#### B. Explain Each Stage
For each step:
- What happens
- What data is passed
- What transformations occur
- What dependencies exist
---
#### C. Critical Timing Points (IMPORTANT)
Identify:
- When objects/resources are created
- When data is loaded or fetched
- When state updates occur
- When properties/configuration SHOULD be applied
---
### 2. Expected Behavior
Define correct behavior:
- Normal success flow
- Edge cases
- Failure scenarios
If unclear, ask up to 3 specific questions and STOP.
---
### 3. Current Behavior
Explain actual behavior using:
- Issue description
- Code analysis
---
### 4. Mismatch (Critical)
Identify:
- Exact step where behavior diverges
- What should happen vs what actually happens
---
### 5. Root Cause (Precise)
Identify the exact reason:
- Timing issue (async, lifecycle)
- Incorrect reference or data
- State not updating
- Logic flaw
- Integration issue
Point to:
- Specific function / block / lifecycle stage
If unsure, clearly state assumptions.
---
### 6. Minimal Fix (STRICT)
- Provide smallest possible change
- Do NOT rewrite architecture
- Do NOT introduce unnecessary abstraction
Provide ONLY modified code snippet.
Focus on:
- Fixing timing
- Correct data flow
- Proper state update
---
### 7. Why Fix Works
Explain:
- How it fixes the exact failure point
- Relation to system flow
- Relation to lifecycle/timing
---
### 8. Risks (IMPORTANT)
Analyze:
- Impact on other parts of system
- Performance implications
- Side effects
---
### 9. Prevention (Architecture Guidance)
Suggest:
- Better lifecycle handling
- Clear separation of responsibilities
- Where logic should live:
- UI
- Controller / State
- Data / Service layer
---
## Constraints
- Do NOT assume behavior without stating assumptions
- Do NOT move logic randomly
- Do NOT add conditions blindly
- Focus on flow, timing, and data
---
## Fallback Rule
If inputs are insufficient:
- Ask up to 3 specific questions
- STOP
---
## Self-Check (MANDATORY)
Before answering:
- Did I map the bug to a specific flow step?
- Did I identify timing/lifecycle issues?
- Is the fix minimal and scoped?
- Did I avoid over-engineering?Overview
handle bug in feature is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"handle bug in feature" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "handle bug in feature" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to:
Act as a senior software engineer and system architect.
## Context
I am a developer working on an application feature.
There is a bug, and previous fixes made the system more complex.
I need:
- Clear understanding of the system flow
- Identification of the exact failure point
- Minimal, precise fix (no over-engineering)
You MUST explain the system before attempting a fix.
---
## Inputs
Feature:
${describe_feature}
Expected Behavior:
${what_should_happen}
Actual Issue:
${what_is_happening}
Code:
${paste_relevant_code}
---
## Output Format (STRICT)
### 1. System Flow (Visual + Logic…
Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "handle bug in feature"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
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