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56 lines
2.0 KiB
Markdown
56 lines
2.0 KiB
Markdown
# パフォーマンス最適化
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## モデル選択戦略
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**Haiku 4.5**（Sonnet 機能の 90%、コスト 3 分の 1）:
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- 頻繁に呼び出される軽量 agent
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- ペアプログラミングとコード生成
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- マルチ agent システムのワーカー agent
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**Sonnet 4.6**（最高のコーディングモデル）:
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- メイン開発作業
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- マルチ agent ワークフローのオーケストレーション
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- 複雑なコーディングタスク
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**Opus 4.6**（最も深い推論）:
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- 複雑なアーキテクチャの意思決定
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- 最大限の推論要件
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- 調査と分析タスク
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## コンテキストウィンドウ管理
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次の場合はコンテキストウィンドウの最後の 20% を避ける:
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- 大規模なリファクタリング
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- 複数ファイルにまたがる機能実装
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- 複雑な相互作用のデバッグ
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コンテキスト感度の低いタスク:
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- 単一ファイルの編集
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- 独立したユーティリティの作成
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- ドキュメントの更新
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- 単純なバグ修正
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## 拡張思考 + プランモード
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拡張思考はデフォルトで有効で、内部推論用に最大 31,999 トークンを予約します。
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拡張思考の制御:
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- **トグル**: Option+T（macOS）/ Alt+T（Windows/Linux）
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- **設定**: `~/.claude/settings.json` で `alwaysThinkingEnabled` を設定
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- **予算上限**: `export MAX_THINKING_TOKENS=10000`（bash）または `$env:MAX_THINKING_TOKENS = "10000"`（PowerShell）
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- **詳細モード**: Ctrl+O で思考出力を表示
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深い推論を必要とする複雑なタスクの場合:
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1. 拡張思考が有効であることを確認（デフォルトで有効）
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2. 構造化されたアプローチのために **プランモード** を有効化
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3. 徹底的な分析のために複数の批評ラウンドを使用
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4. 多様な視点のために役割分担したサブ agent を使用
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## ビルドトラブルシューティング
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ビルドが失敗した場合:
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1. **build-error-resolver** agent を使用
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2. エラーメッセージを分析
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3. 段階的に修正
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4. 各修正後に検証
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