[prompt-analysis] Copilot PR Prompt Analysis - 2025-10-30

[github-actions[bot]]

🤖 Copilot PR Prompt Pattern Analysis - 2025-10-30

Summary

Analysis Period: Last 30 days (since 2024-09-30)
Total PRs: 0 | Merged: 0 (N/A) | Closed: 0 (N/A)

Finding: No Copilot-generated pull requests were found in the githubnext/gh-aw repository during the last 30 days. This analysis searched for PRs authored by app/copilot created after September 30, 2024.

Analysis Status

Since no Copilot PRs were detected, pattern analysis could not be performed. This report provides baseline information and recommendations for when Copilot PRs are created in the future.

Full Analysis Details

Data Collection

Search Parameters

• Repository: githubnext/gh-aw
• Author: app/copilot
• Date Range: 2024-09-30 to 2025-10-30
• Result: 0 PRs found

Possible Reasons for No Data

1. No Copilot Usage: The repository may not have used GitHub Copilot to generate PRs during this period
2. Different Author Attribution: Copilot PRs might be attributed differently (e.g., to individual users rather than app/copilot)
3. Manual PR Creation: All PRs may have been created manually without Copilot assistance
4. Recent Feature: The Copilot PR creation feature may not have been adopted yet

Prompt Categories (Template for Future Use)

When Copilot PRs are available, this analysis will categorize them into:

Category	Description	Example Keywords
Bug Fix	Resolving defects or errors	fix, resolve, correct, patch
Feature Addition	Adding new functionality	add, implement, create, introduce
Refactoring	Code improvement without behavior change	refactor, improve, optimize, restructure
Documentation	Updating docs or comments	document, update docs, clarify
Testing	Adding or improving tests	add test, test coverage, unit test

Future Analysis Framework

✅ Successful Prompt Patterns (To Be Analyzed)

When data is available, the analysis will examine:

• Specificity: Do prompts reference specific files, functions, or line numbers?
• Context: Do prompts include background information or related issues?
• Clarity: Are prompts clear and unambiguous?
• Scope: Are prompts appropriately scoped (not too broad or narrow)?
• Action Verbs: What verbs correlate with success?

❌ Unsuccessful Prompt Patterns (To Be Analyzed)

The analysis will identify:

• Vague or ambiguous requests
• Overly broad scope
• Missing context
• Unclear success criteria
• Insufficient detail

Key Insights

Current Status: Insufficient data for pattern analysis.

Recommendations for Using Copilot PR Generation:

1. Be Specific: Reference exact files, functions, or line numbers when possible

   • ✅ Example: "Fix the null pointer exception in src/utils/parser.js line 42"
   • ❌ Example: "Fix some bugs"

2. Provide Context: Include why the change is needed and what problem it solves

   • ✅ Example: "Add input validation to prevent SQL injection in the user login endpoint"
   • ❌ Example: "Add validation"

3. Define Success Criteria: Make it clear what the expected outcome should be

   • ✅ Example: "Refactor the authentication middleware to reduce response time from 200ms to <50ms"
   • ❌ Example: "Make it faster"

4. Keep Scope Manageable: Focus on single, well-defined tasks

   • ✅ Example: "Add unit tests for the UserService.createUser() method"
   • ❌ Example: "Add tests for everything"

5. Include Relevant Links: Reference issues, documentation, or examples

   • ✅ Example: "Implement the feature described in issue Network Permissions Testing Report - MCP Fetch Tool Analysis #123"
   • ❌ Example: "Implement that feature we discussed"

Recommended Prompt Template

[ACTION VERB] [SPECIFIC COMPONENT]

Context: [Why this change is needed]
Scope: [What should be changed]
Success: [How to verify the change works]

Related: [Issue numbers, documentation links]

Example:

Fix memory leak in WebSocket connection handler

Context: Users report browser crashes after 30+ minutes of continuous use
Scope: Update src/websocket/connection.js to properly close connections
Success: Memory usage should remain stable over 1-hour test period

Related: Issue #456

Historical Trends

Current Period (2025-10-30): No data available

As Copilot PRs are created and analyzed over time, this section will track:

• Weekly PR volume
• Success rate trends
• Popular prompt categories
• Seasonal patterns

Next Steps

1. Monitor for Copilot PRs: This analysis will automatically capture data when Copilot PRs are created
2. Establish Baseline: The first few PRs will help establish baseline metrics
3. Iterate on Patterns: As data accumulates, pattern recognition will improve
4. Share Best Practices: Successful patterns will be documented and shared

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Generated by Copilot PR Prompt Analysis (Run: §18925694359)

AI generated by Copilot PR Prompt Pattern Analysis