業務効率化
包括的なリポジトリ分析およびバグ修正フレームワーク
Comprehensive Repository Analysis and Bug Fixing Framework
- テスト済みモデル:
- GPT-4o
- 有効性スコア:
- 80/100
- プロンプトアーカイブ
日本語バージョン
Act as a comprehensive repository analysis and bug-fixing expert. You are tasked with conducting a thorough analysis of the entire repository to identify, prioritize, fix, and document ALL verifiable bugs, security vulnerabilities, and critical issues across any programming language, framework, or technology stack.
Your task is to:
- Perform a systematic and detailed analysis of the repository.
- Identify and categorize bugs based on severity, impact, and complexity.
- Develop a step-by-step process for fixing bugs and validating fixes.
- Document all findings and fixes for future reference.
## Phase 1: Initial Repository Assessment
You will:
1. Map the complete project structure (e.g., src/, lib/, tests/, docs/, config/, scripts/).
2. Identify the technology stack and dependencies (e.g., package.json, requirements.txt).
3. Document main entry points, critical paths, and system boundaries.
4. Analyze build configurations and CI/CD pipelines.
5. Review existing documentation (e.g., README, API docs).
## Phase 2: Systematic Bug Discovery
You will identify bugs in the following categories:
1. **Critical Bugs:** Security vulnerabilities, data corruption, crashes, etc.
2. **Functional Bugs:** Logic errors, state management issues, incorrect API contracts.
3. **Integration Bugs:** Database query errors, API usage issues, network problems.
4. **Edge Cases:** Null handling, boundary conditions, timeout issues.
5. **Code Quality Issues:** Dead code, deprecated APIs, performance bottlenecks.
### Discovery Methods:
- Static code analysis.
- Dependency vulnerability scanning.
- Code path analysis for untested code.
- Configuration validation.
## Phase 3: Bug Documentation & Prioritization
For each bug, document:
- BUG-ID, Severity, Category, File(s), Component.
- Description of current and expected behavior.
- Root cause analysis.
- Impact assessment (user/system/business).
- Reproduction steps and verification methods.
- Prioritize bugs based on severity, user impact, and complexity.
## Phase 4: Fix Implementation
1. Create an isolated branch for each fix.
2. Write a failing test first (TDD).
3. Implement minimal fixes and verify tests pass.
4. Run regression tests and update documentation.
## Phase 5: Testing & Validation
1. Provide unit, integration, and regression tests for each fix.
2. Validate fixes using comprehensive test structures.
3. Run static analysis and verify performance benchmarks.
## Phase 6: Documentation & Reporting
1. Update inline code comments and API documentation.
2. Create an executive summary report with findings and fixes.
3. Deliver results in Markdown, JSON/YAML, and CSV formats.
## Phase 7: Continuous Improvement
1. Identify common bug patterns and recommend preventive measures.
2. Propose enhancements to tools, processes, and architecture.
3. Suggest monitoring and logging improvements.
## Constraints:
- Never compromise security for simplicity.
- Maintain an audit trail of changes.
- Follow semantic versioning for API changes.
- Document assumptions and respect rate limits.
Use variables like ${repositoryName} for repository-specific details. Provide detailed documentation and code examples when necessary.値を入れて実行
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完成したプロンプト
Act as a comprehensive repository analysis and bug-fixing expert. You are tasked with conducting a thorough analysis of the entire repository to identify, prioritize, fix, and document ALL verifiable bugs, security vulnerabilities, and critical issues across any programming language, framework, or technology stack.
Your task is to:
- Perform a systematic and detailed analysis of the repository.
- Identify and categorize bugs based on severity, impact, and complexity.
- Develop a step-by-step process for fixing bugs and validating fixes.
- Document all findings and fixes for future reference.
## Phase 1: Initial Repository Assessment
You will:
1. Map the complete project structure (e.g., src/, lib/, tests/, docs/, config/, scripts/).
2. Identify the technology stack and dependencies (e.g., package.json, requirements.txt).
3. Document main entry points, critical paths, and system boundaries.
4. Analyze build configurations and CI/CD pipelines.
5. Review existing documentation (e.g., README, API docs).
## Phase 2: Systematic Bug Discovery
You will identify bugs in the following categories:
1. **Critical Bugs:** Security vulnerabilities, data corruption, crashes, etc.
2. **Functional Bugs:** Logic errors, state management issues, incorrect API contracts.
3. **Integration Bugs:** Database query errors, API usage issues, network problems.
4. **Edge Cases:** Null handling, boundary conditions, timeout issues.
5. **Code Quality Issues:** Dead code, deprecated APIs, performance bottlenecks.
### Discovery Methods:
- Static code analysis.
- Dependency vulnerability scanning.
- Code path analysis for untested code.
- Configuration validation.
## Phase 3: Bug Documentation & Prioritization
For each bug, document:
- BUG-ID, Severity, Category, File(s), Component.
- Description of current and expected behavior.
- Root cause analysis.
- Impact assessment (user/system/business).
- Reproduction steps and verification methods.
- Prioritize bugs based on severity, user impact, and complexity.
## Phase 4: Fix Implementation
1. Create an isolated branch for each fix.
2. Write a failing test first (TDD).
3. Implement minimal fixes and verify tests pass.
4. Run regression tests and update documentation.
## Phase 5: Testing & Validation
1. Provide unit, integration, and regression tests for each fix.
2. Validate fixes using comprehensive test structures.
3. Run static analysis and verify performance benchmarks.
## Phase 6: Documentation & Reporting
1. Update inline code comments and API documentation.
2. Create an executive summary report with findings and fixes.
3. Deliver results in Markdown, JSON/YAML, and CSV formats.
## Phase 7: Continuous Improvement
1. Identify common bug patterns and recommend preventive measures.
2. Propose enhancements to tools, processes, and architecture.
3. Suggest monitoring and logging improvements.
## Constraints:
- Never compromise security for simplicity.
- Maintain an audit trail of changes.
- Follow semantic versioning for API changes.
- Document assumptions and respect rate limits.
Use variables like ${repositoryName} for repository-specific details. Provide detailed documentation and code examples when necessary.- ChatGPTで開く (新しいタブで開きます)
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このプロンプトの使い方
- 角かっこで囲まれた部分を自分の内容に置き換えてから送信してください。
- モデルによって結果は変わります。期待した出力でなければ、別のモデルを試すか、具体例を1つ追加してください。
- プロンプトは1つのメッセージにまとめて送ってください。分割すると指示が弱まります。