１．動機

N番煎じですが、プログラムを自動生成するプログラムの作成にチャレンジしてみました。

いろいろ動機はありますが、言葉に表すと、

・良いものができたらベスト
・何か作ってみることで、作りたいものや、やりたいものを探す
・エージェントの作成を通じてのスキルアップ

といったところです。

発想の元は、AIエージェントが協調してソフトウェアを開発する「ChatDev」です。

２．どう作っていったか

作るのにAI EditorのWindsurfを使用して、やりたいエージェントを作っていきました。作りたいものを指示して、AIが実装させました

ソースの修正やデバッグは、AI主体ですが、取り切れないものは人手で修正しました。AIエディタで取り切れなかった事例は下記です。

・モジュールの依存関係、バージョン不整合: 使用したLangChainの異なるバージョン間の非互換性の問題でもありますが、AIまかせだと取り切れないことがありました。公式のリファレンス見ても、どこに書いてあるんだという感じのものもあったので、已む無しなところもあります
・三か所を同時に整合性をとって、まとめて直すことができなかった。: 作成対するプログラム内で、複数のモデルを使用するようにしたのですが、入力チェックの機構（AIが提案した）で、使用できるモデル情報のリスト、モデル提供元と提供モデルの対応リスト、モデルのインスタンスの生成部で、同時に整合性をとって直す必要がありましたが、AとBを直して、Cがおかしい、BとCを直して、Aがおかしくなった、という動作をして今しました。
結局、使用できるモデル情報のリストを人手で正しく直して、これを正として他を修正させました。
・論理的に不具合調査して欲しいけど: 生成AIの理屈からして、ロジカルに考えているわけではなく、可能性の高い解放を提示してきているので、呼出しに失敗したときにモデル名称を変えて対応しようとして、gpt-4とgpt-4-turob-previewを行ったり来たりしました。原因はDeepSeek対応の余波で、誤ったBASE URLの指定となっていたので、手動で直しました

最初のAIエディタへの指示は、下記ののようなものでした。

要求分析、機能設計、アーキテクチャ設計、構造設計の結果をもとに、実装を行う実装エージェントを追加してください。実装では具体的なファイルを作成し、ファイル内に必要なクラスや関数などを、実装にプログラムとして正しいものを作成してください。

デバッグを終えると、前に記載したようなものができました。

3.現状

要求分析、機能設計、アーキテクチャ設計、構造設計、実装とエージェントを用意し、ソースコードらしいものが生成されるところまで来ました。エージェントのソースは下記のとおりです。ソースコード全体はリポジトリ参照してください。

要求分析

import { BaseAgent } from './baseAgent.js';
import { getModel } from '../config/modelConfig.js';
import { AGENT_NAMES } from '../config/constants.js';
import { getLogger } from '../utils/debugLogger.js';

export class RequirementAnalysisAgent extends BaseAgent {
  constructor(modelName) {
    super(modelName, AGENT_NAMES.REQUIREMENT_ANALYSIS);
    this.systemPrompt = `As a requirement analysis expert, analyze the user requirements and provide a structured output in JSON format.

Instructions:
1. Thoroughly analyze the requirements
2. Break down into clear, actionable items
3. Identify functional and non-functional requirements
4. Highlight risks and dependencies

Response Format:
{
  "functional_requirements": [
    {
      "id": "F1",
      "description": "...",
      "priority": "high|medium|low"
    }
  ],
  "non_functional_requirements": [
    {
      "id": "NF1",
      "category": "performance|security|usability",
      "description": "..."
    }
  ],
  "risks": [
    {
      "id": "R1",
      "description": "...",
      "mitigation": "..."
    }
  ],
  "dependencies": [
    {
      "id": "D1",
      "description": "...",
      "type": "external|internal"
    }
  ]
}`;
    this.logger = getLogger(AGENT_NAMES.REQUIREMENT_ANALYSIS);
  }

  async execute(userRequirement) {
    try {
      this.logger.info('Starting requirement analysis', { userRequirement });

      if (!userRequirement || typeof userRequirement !== 'string') {
        this.logger.error('Invalid user requirement', { userRequirement });
        throw new Error('User requirement must be a non-empty string');
      }

      const messages = [
        await this.formatMessage(this.systemPrompt, 'system'),
        await this.formatMessage(`Please analyze the following requirement and provide a structured response: ${userRequirement}`, 'user')
      ];

      this.logger.debug('Sending request to model', { messages });

      // メッセージの検証
      if (!messages.every(m => m && m._getType && m.content)) {
        this.logger.error('Invalid message format detected', { messages });
        throw new Error('Invalid message format detected');
      }

      const response = await this.model.invoke(messages);
      
      this.logger.info('Received response from model', { response });

      // レスポンスの検証と解析
      try {
        // レスポンス内のJSON部分を抽出
        const jsonMatch = response.content.match(/```json\n([\s\S]*?)\n```/);
        if (jsonMatch && jsonMatch[1]) {
          // JSON部分を解析
          const analysis = JSON.parse(jsonMatch[1]);
          this.logger.info('Parsed JSON response', { analysis });
          return {
            analysis: {
              json: analysis,
              text: response.content
            },
            timestamp: new Date().toISOString()
          };
        } else {
          // JSONが見つからない場合は、テキストとして返す
          this.logger.info('No JSON found in response, returning as text', { response });
          return {
            analysis: response.content,
            timestamp: new Date().toISOString()
          };
        }
      } catch (e) {
        this.logger.error('Failed to parse response', { error: e.message, stack: e.stack });
        // パース失敗時はテキストとして返す
        return {
          analysis: response.content,
          timestamp: new Date().toISOString()
        };
      }
    } catch (error) {
      this.logger.error('Error in requirement analysis', { error: error.message, stack: error.stack });
      throw error;
    }
  }
}

機能設計

import { BaseAgent } from './baseAgent.js';
import { AGENT_NAMES } from '../config/constants.js';

export class FunctionalDesignAgent extends BaseAgent {
  constructor(modelName) {
    super(modelName, AGENT_NAMES.FUNCTIONAL_DESIGN);
  }

  async execute(analysisResult) {
    try {
      this.chatLog.logConversationStart({ analysisResult });

      const messages = [
        await this.formatMessage(
          'You are a functional design expert. Create a detailed functional design based on the requirement analysis.',
          'system'
        ),
        await this.formatMessage(JSON.stringify(analysisResult, null, 2), 'user')
      ];

      this.chatLog.logSystemMessage('Starting functional design');
      const response = await this.invoke(messages);
      this.chatLog.logAssistantMessage(response.content);

      try {
        const design = this.parseDesign(response.content);
        this.chatLog.logSystemMessage('Successfully parsed design');
        return {
          design,
          timestamp: new Date().toISOString()
        };
      } catch (error) {
        this.chatLog.logError(error, { response: response.content });
        return {
          design: response.content,
          timestamp: new Date().toISOString()
        };
      }
    } catch (error) {
      this.chatLog.logError(error, { analysisResult });
      throw error;
    }
  }

  parseDesign(content) {
    try {
      // JSONの解析を試みる
      const jsonMatch = content.match(/```json\n([\s\S]*?)\n```/);
      if (jsonMatch && jsonMatch[1]) {
        const design = JSON.parse(jsonMatch[1]);
        return {
          json: design,
          raw: content
        };
      }
      
      // JSONが見つからない場合はテキストとして返す
      return {
        text: content,
        raw: content
      };
    } catch (error) {
      this.chatLog.logError(error, { content });
      throw new Error(`Failed to parse design: ${error.message}`);
    }
  }
}

アーキテクチャ設計

import { BaseAgent } from './baseAgent.js';
import { AGENT_NAMES } from '../config/constants.js';

export class ArchitectureDesignAgent extends BaseAgent {
  constructor(modelName) {
    super(modelName, AGENT_NAMES.ARCHITECTURE_DESIGN);
    this.systemPrompt = `You are an architecture design expert. Your task is to create a comprehensive system architecture based on the provided functional design and requirements.

Your design process should follow these steps:
1. Analyze the requirements and functional design thoroughly
2. Research and recommend appropriate technology choices
3. Design the system architecture
4. Document and explain architectural decisions

Focus on these key aspects:
- Technology stack selection and justification
- System components and their interactions
- API design and integration patterns
- Database design and data flow
- Security measures and best practices
- Scalability and performance considerations
- Deployment and infrastructure requirements

IMPORTANT: Your response must be a valid JSON object without any markdown formatting or code blocks. Just return the raw JSON.
The response must follow this exact structure:

{
  "analysis": {
    "requirements_summary": "Brief summary of key requirements",
    "technical_constraints": ["List of technical constraints"],
    "key_considerations": ["List of key architectural considerations"]
  },
  "technology_stack": {
    "frontend": ["Selected frontend technologies"],
    "backend": ["Selected backend technologies"],
    "database": ["Selected database technologies"],
    "infrastructure": ["Selected infrastructure technologies"]
  },
  "architecture": {
    "components": ["List of system components"],
    "interactions": ["Description of component interactions"],
    "apis": ["API specifications"],
    "data_model": ["Database schema and data relationships"]
  },
  "security": {
    "measures": ["Security measures"],
    "considerations": ["Security considerations"]
  },
  "scalability": {
    "strategies": ["Scalability strategies"],
    "bottlenecks": ["Potential bottlenecks and solutions"]
  },
  "rationale": {
    "decisions": ["Key architectural decisions"],
    "justifications": ["Justification for each decision"]
  }
}`;
  }

  // JSON文字列からマークダウンやコードブロックを除去
  cleanJsonResponse(response) {
    try {
      // マークダウンコードブロックを除去
      let cleaned = response.replace(/```(json)?\n|\n```/g, '');
      
      // 先頭と末尾の空白を除去
      cleaned = cleaned.trim();
      
      // JSONとして解析してバリデーション
      const parsed = JSON.parse(cleaned);
      
      // 必須フィールドの存在確認
      const requiredFields = ['analysis', 'technology_stack', 'architecture', 'security', 'scalability', 'rationale'];
      const missingFields = requiredFields.filter(field => !parsed[field]);
      
      if (missingFields.length > 0) {
        throw new Error(`Missing required fields: ${missingFields.join(', ')}`);
      }
      
      return parsed;
    } catch (error) {
      throw new Error(`JSON cleaning and validation failed: ${error.message}\nOriginal response: ${response}`);
    }
  }

  async researchTechnologies(requirements) {
    try {
      const searchQueries = this.generateSearchQueries(requirements);
      const researchResults = [];
      const errors = [];

      for (const query of searchQueries) {
        try {
          const webResults = await this.searchWeb(query.query);
          researchResults.push({
            category: query.category,
            query: query.query,
            results: webResults
          });
        } catch (error) {
          errors.push({
            query: query.query,
            error: error.message
          });
          // エラーをログに記録するが、処理は続行
          await this.saveDebugInfo({
            error_type: 'search_query_failed',
            query: query,
            error: error.message
          }, 'technology_research_error');
        }
      }

      // 検索結果とエラーの両方を記録
      await this.saveDebugInfo({
        requirements,
        search_queries: searchQueries,
        results: researchResults,
        errors
      }, 'technology_research_results');

      return {
        results: researchResults,
        errors: errors.length > 0 ? errors : undefined
      };
    } catch (error) {
      await this.saveDebugInfo({
        error_type: 'technology_research_failed',
        requirements,
        error: error.message
      }, 'technology_research_error');
      throw new Error(`Technology research failed: ${error.message}`);
    }
  }

  generateSearchQueries(requirements) {
    const queries = [];
    
    // アプリケーションタイプに基づく技術スタック
    queries.push({
      category: 'technology_stack',
      query: `best technology stack for ${requirements.type || 'web'} application ${requirements.specific || ''} ${new Date().getFullYear()}`
    });

    // アーキテクチャパターン
    queries.push({
      category: 'architecture_patterns',
      query: `modern architecture patterns for ${requirements.scale || 'scalable'} applications best practices ${new Date().getFullYear()}`
    });

    // データベースソリューション
    queries.push({
      category: 'database',
      query: `database solutions for ${requirements.data || 'typical'} workload comparison ${new Date().getFullYear()}`
    });

    // セキュリティ要件
    if (requirements.specific?.includes('security')) {
      queries.push({
        category: 'security',
        query: `security best practices for ${requirements.type} applications ${new Date().getFullYear()}`
      });
    }

    // パフォーマンス要件
    if (requirements.specific?.includes('performance')) {
      queries.push({
        category: 'performance',
        query: `performance optimization techniques for ${requirements.type} applications ${new Date().getFullYear()}`
      });
    }

    // AI/ML要件
    if (requirements.specific?.includes('AI')) {
      queries.push({
        category: 'ai_ml',
        query: `AI/ML integration architecture patterns ${requirements.type} applications ${new Date().getFullYear()}`
      });
    }

    return queries;
  }

  async validateArchitecture(design) {
    const schema = {
      type: 'object',
      required: ['analysis', 'technology_stack', 'architecture', 'security', 'scalability', 'rationale'],
      properties: {
        analysis: { 
          type: 'object',
          required: ['requirements_summary', 'technical_constraints', 'key_considerations']
        },
        technology_stack: { 
          type: 'object',
          required: ['frontend', 'backend', 'database', 'infrastructure']
        },
        architecture: { 
          type: 'object',
          required: ['components', 'interactions', 'apis', 'data_model']
        },
        security: { 
          type: 'object',
          required: ['measures', 'considerations']
        },
        scalability: { 
          type: 'object',
          required: ['strategies', 'bottlenecks']
        },
        rationale: { 
          type: 'object',
          required: ['decisions', 'justifications']
        }
      }
    };

    return await this.validateResponse(design, schema);
  }

  async execute(functionalDesign) {
    try {
      this.chatLog.logConversationStart({ functionalDesign });

      // 1. 要件の分析と技術調査
      const requirements = this.extractRequirements(functionalDesign);
      const researchResults = await this.researchTechnologies(requirements);

      // 2. 初期アーキテクチャ設計
      const messages = [
        await this.formatMessage(this.systemPrompt, 'system'),
        await this.formatMessage(`
Functional Design:
${JSON.stringify(functionalDesign, null, 2)}

Research Results:
${JSON.stringify(researchResults, null, 2)}

Please design the system architecture based on the above information. Return ONLY the JSON response without any markdown formatting or explanation.`)
      ];

      this.chatLog.logSystemMessage('Starting architecture design');
      const response = await this.invoke(messages);
      this.chatLog.logAssistantMessage(response.content);

      try {
        const architectureDesign = this.cleanJsonResponse(response.content);
        this.chatLog.logSystemMessage('Successfully parsed architecture');

        // 3. アーキテクチャの検証
        const validationResult = await this.validateArchitecture(architectureDesign);
        if (validationResult !== true) {
          // 4. 問題がある場合は修正を要求
          const correctionMessages = [
            await this.formatMessage(this.systemPrompt, 'system'),
            await this.formatMessage(`
The previous architecture design had validation issues. Please correct them and return a valid JSON response:

Validation Issues:
${validationResult}

Previous Design:
${JSON.stringify(architectureDesign, null, 2)}

Return ONLY the corrected JSON without any markdown formatting or explanation.`)
          ];

          const correctedDesign = await this.invoke(correctionMessages);
          try {
            architectureDesign = this.cleanJsonResponse(correctedDesign.content);
          } catch (error) {
            await this.saveDebugInfo({
              error_type: 'json_parsing_error_correction',
              error_message: error.message,
              raw_response: correctedDesign.content,
              validation_result: validationResult
            }, 'architecture_design_correction_error');
            throw error;
          }
        }

        // 5. 追加の考慮事項の確認
        const followUpQuestions = [
          "Are there any potential security vulnerabilities in this architecture?",
          "How can we improve the scalability of this design?",
          "Are there any missing integration points?",
          "What are the potential performance bottlenecks?"
        ];

        const improvements = {};
        for (const question of followUpQuestions) {
          const answer = await this.askFollowUpQuestion(question, architectureDesign);
          improvements[question] = answer;
        }

        // 6. 最終的なアーキテクチャの作成
        architectureDesign.additional_considerations = improvements;

        // 7. デバッグ情報の保存
        await this.saveDebugInfo({
          input: functionalDesign,
          research: researchResults,
          initial_design: architectureDesign,
          validation_result: validationResult,
          improvements,
          final_design: architectureDesign
        }, 'architecture_design_process');

        return {
          architectureDesign,
          timestamp: new Date().toISOString()
        };
      } catch (error) {
        this.chatLog.logError(error, { response: response.content });
        return {
          architectureDesign: response.content,
          timestamp: new Date().toISOString()
        };
      }
    } catch (error) {
      this.chatLog.logError(error, { functionalDesign });
      throw error;
    }
  }

  extractRequirements(functionalDesign) {
    // 機能設計から要件を抽出する補助メソッド
    try {
      const design = typeof functionalDesign === 'string' ? 
        JSON.parse(functionalDesign) : 
        functionalDesign;

      return {
        type: this.inferApplicationType(design),
        scale: this.inferScaleRequirements(design),
        data: this.inferDataRequirements(design),
        specific: this.inferSpecificRequirements(design)
      };
    } catch (error) {
      console.warn('Requirements extraction failed:', error);
      return {};
    }
  }

  inferApplicationType(design) {
    // アプリケーションタイプを推論
    const content = JSON.stringify(design).toLowerCase();
    if (content.includes('web') || content.includes('browser')) return 'web';
    if (content.includes('mobile') || content.includes('ios') || content.includes('android')) return 'mobile';
    if (content.includes('desktop')) return 'desktop';
    return 'web'; // デフォルト
  }

  inferScaleRequirements(design) {
    // スケール要件を推論
    const content = JSON.stringify(design).toLowerCase();
    if (content.includes('enterprise') || content.includes('large scale')) return 'enterprise';
    if (content.includes('startup') || content.includes('small scale')) return 'startup';
    return 'scalable'; // デフォルト
  }

  inferDataRequirements(design) {
    // データ要件を推論
    const content = JSON.stringify(design).toLowerCase();
    if (content.includes('big data') || content.includes('large dataset')) return 'high-volume';
    if (content.includes('real time') || content.includes('streaming')) return 'real-time';
    return 'typical'; // デフォルト
  }

  inferSpecificRequirements(design) {
    // 特殊要件を推論
    const content = JSON.stringify(design).toLowerCase();
    const requirements = [];
    if (content.includes('security')) requirements.push('security-focused');
    if (content.includes('performance')) requirements.push('high-performance');
    if (content.includes('ai') || content.includes('machine learning')) requirements.push('AI-enabled');
    return requirements.join(', ');
  }
}

構造設計

import { BaseAgent } from './baseAgent.js';
import { AGENT_NAMES } from '../config/constants.js';

export class StructuralDesignAgent extends BaseAgent {
  constructor(modelName) {
    super(modelName, AGENT_NAMES.STRUCTURAL_DESIGN);
    this.systemPrompt = `You are a structural design expert. Your task is to:
1. Review the architecture design and previous specifications
2. Define detailed structural elements including:
   - Directory structure
   - File organization
   - Class hierarchies
   - Function specifications
   - Data structures
3. Provide implementation guidelines
4. Define coding standards and patterns to be used
5. Document dependencies and relationships between components`;
  }

  async execute(architectureDesign) {
    try {
      this.chatLog.logConversationStart({ architectureDesign });

      const messages = [
        await this.formatMessage(this.systemPrompt, 'system'),
        await this.formatMessage(JSON.stringify(architectureDesign))
      ];

      this.chatLog.logSystemMessage('Starting structural design');
      const response = await this.invoke(messages);
      this.chatLog.logAssistantMessage(response.content);

      try {
        const structure = this.parseStructure(response.content);
        this.chatLog.logSystemMessage('Successfully parsed structure');
        return {
          structure,
          timestamp: new Date().toISOString()
        };
      } catch (error) {
        this.chatLog.logError(error, { response: response.content });
        return {
          structure: response.content,
          timestamp: new Date().toISOString()
        };
      }
    } catch (error) {
      this.chatLog.logError(error, { architectureDesign });
      throw error;
    }
  }

  parseStructure(content) {
    try {
      // JSONの解析を試みる
      const jsonMatch = content.match(/```json\n([\s\S]*?)\n```/);
      if (jsonMatch && jsonMatch[1]) {
        const structure = JSON.parse(jsonMatch[1]);
        return {
          json: structure,
          raw: content
        };
      }
      
      // JSONが見つからない場合はテキストとして返す
      return {
        text: content,
        raw: content
      };
    } catch (error) {
      this.chatLog.logError(error, { content });
      throw new Error(`Failed to parse structure: ${error.message}`);
    }
  }
}

実装

import { BaseAgent } from './baseAgent.js';
import fs from 'fs/promises';
import path from 'path';
import { getLogger, AGENT_NAMES } from '../utils/debugLogger.js';

export class ImplementationAgent extends BaseAgent {
  constructor(modelName) {
    super(modelName, AGENT_NAMES.IMPLEMENTATION);
    this.systemPrompt = `You are an implementation expert. Your task is to analyze architecture design output and create actual implementation files.

Your process should:
1. Analyze the architecture design
2. Identify all required files and their contents
3. Create a proper directory structure
4. Generate implementation files with appropriate code
5. Ensure all dependencies are properly managed

Focus on:
- File organization and structure
- Code quality and best practices
- Proper error handling
- Documentation
- Testing considerations

Return your analysis in the following JSON format ONLY. DO NOT include any explanations or additional text outside the JSON:
{
  "implementation_plan": {
    "directory_structure": ["List of directories to create"],
    "files": [
      {
        "path": "Relative path to the file",
        "type": "File type (e.g., source, config, test)",
        "content": "File content",
        "description": "Brief description of the file's purpose"
      }
    ],
    "dependencies": {
      "required_packages": ["List of required packages"],
      "external_services": ["List of external services needed"]
    }
  }
}`;
    this.logger = getLogger(AGENT_NAMES.IMPLEMENTATION);
  }

  async createDirectoryStructure(baseDir, directories) {
    try {
      this.logger.info('Creating directory structure', { baseDir, directories });

      if (!baseDir || typeof baseDir !== 'string') {
        this.logger.error('Invalid base directory', { baseDir });
        throw new Error('Base directory must be a non-empty string');
      }

      if (!Array.isArray(directories)) {
        this.logger.error('Invalid directories', { directories });
        throw new Error('Directories must be an array');
      }

      const results = {
        created: [],
        errors: []
      };

      try {
        // まずベースディレクトリを作成
        await fs.mkdir(baseDir, { recursive: true });
        
        for (const dir of directories) {
          try {
            // パスの正規化：先頭のスラッシュを削除し、プラットフォーム固有のパス区切り文字を使用
            const normalizedPath = dir.replace(/^\//, '').split('/').join(path.sep);
            const fullPath = path.join(baseDir, normalizedPath);
            await fs.mkdir(fullPath, { recursive: true });
            results.created.push(fullPath);
            
            await this.saveDebugInfo({
              action: 'create_directory',
              path: fullPath,
              status: 'success'
            }, 'directory_creation');
          } catch (dirError) {
            results.errors.push({
              path: dir,
              error: dirError.message
            });
            
            await this.saveDebugInfo({
              action: 'create_directory',
              path: path.join(baseDir, dir),
              error: dirError.message,
              status: 'error'
            }, 'directory_creation_error');
          }
        }

        // 結果のサマリーを保存
        await this.saveDebugInfo({
          base_directory: baseDir,
          results: results
        }, 'directory_creation_summary');

        if (results.errors.length > 0) {
          const errorMessages = results.errors
            .map(err => `Failed to create directory '${err.path}': ${err.error}`)
            .join('; ');
          throw new Error(`Some directories could not be created: ${errorMessages}`);
        }

        return results;
      } catch (error) {
        await this.saveDebugInfo({
          error_type: 'directory_creation_failed',
          base_directory: baseDir,
          error: error.message,
          results: results
        }, 'implementation_error');
        
        throw new Error(`Failed to create directory structure: ${error.message}`);
      }
    } catch (error) {
      this.logger.error('Error creating directory structure', { error: error.message, stack: error.stack });
      throw error;
    }
  }

  async createFiles(baseDir, files) {
    try {
      this.logger.info('Creating files', { baseDir, files });

      const results = {
        success: [],
        errors: []
      };

      for (const file of files) {
        try {
          // パスの正規化：先頭のスラッシュを削除し、プラットフォーム固有のパス区切り文字を使用
          const normalizedPath = file.path.replace(/^\//, '').split('/').join(path.sep);
          const fullPath = path.join(baseDir, normalizedPath);
          const dirPath = path.dirname(fullPath);
          
          // ディレクトリが存在することを確認
          await fs.mkdir(dirPath, { recursive: true });
          
          // ファイルの作成
          await fs.writeFile(fullPath, file.content);
          
          results.success.push({
            path: file.path,
            type: file.type
          });

          await this.saveDebugInfo({
            action: 'create_file',
            file: {
              path: fullPath,
              type: file.type,
              description: file.description
            }
          }, 'file_creation');
        } catch (error) {
          results.errors.push({
            path: file.path,
            error: error.message
          });

          await this.saveDebugInfo({
            error_type: 'file_creation_failed',
            file: file.path,
            error: error.message
          }, 'implementation_error');
        }
      }

      return results;
    } catch (error) {
      this.logger.error('Error creating files', { error: error.message, stack: error.stack });
      throw error;
    }
  }

  async validateImplementationPlan(plan) {
    try {
      this.logger.info('Validating implementation plan', { plan });

      const schema = {
        type: 'object',
        required: ['implementation_plan'],
        properties: {
          implementation_plan: {
            type: 'object',
            required: ['directory_structure', 'files', 'dependencies'],
            properties: {
              directory_structure: {
                type: 'array',
                items: { type: 'string' }
              },
              files: {
                type: 'array',
                items: {
                  type: 'object',
                  required: ['path', 'type', 'content', 'description'],
                  properties: {
                    path: { type: 'string' },
                    type: { type: 'string' },
                    content: { type: 'string' },
                    description: { type: 'string' }
                  }
                }
              },
              dependencies: {
                type: 'object',
                required: ['required_packages', 'external_services'],
                properties: {
                  required_packages: {
                    type: 'array',
                    items: { type: 'string' }
                  },
                  external_services: {
                    type: 'array',
                    items: { type: 'string' }
                  }
                }
              }
            }
          }
        }
      };

      // スキーマに対する基本的な検証
      const validationErrors = [];

      // implementation_planの存在確認
      if (!plan.implementation_plan) {
        validationErrors.push('Missing implementation_plan');
      } else {
        const imp = plan.implementation_plan;

        // directory_structureの検証
        if (!Array.isArray(imp.directory_structure)) {
          validationErrors.push('directory_structure must be an array');
        } else if (imp.directory_structure.some(dir => typeof dir !== 'string')) {
          validationErrors.push('All directory paths must be strings');
        }

        // filesの検証
        if (!Array.isArray(imp.files)) {
          validationErrors.push('files must be an array');
        } else {
          imp.files.forEach((file, index) => {
            if (!file.path) validationErrors.push(`File ${index}: missing path`);
            if (!file.type) validationErrors.push(`File ${index}: missing type`);
            if (!file.content) validationErrors.push(`File ${index}: missing content`);
            if (!file.description) validationErrors.push(`File ${index}: missing description`);
          });
        }

        // dependenciesの検証
        if (!imp.dependencies) {
          validationErrors.push('Missing dependencies');
        } else {
          if (!Array.isArray(imp.dependencies.required_packages)) {
            validationErrors.push('required_packages must be an array');
          }
          if (!Array.isArray(imp.dependencies.external_services)) {
            validationErrors.push('external_services must be an array');
          }
        }
      }

      // 検証結果のデバッグ情報を保存
      await this.saveDebugInfo({
        validation_target: plan,
        validation_errors: validationErrors,
        schema: schema
      }, 'implementation_plan_validation');

      return validationErrors.length === 0 ? true : validationErrors;
    } catch (error) {
      this.logger.error('Error validating implementation plan', { error: error.message, stack: error.stack });
      throw new Error(`Validation failed: ${error.message}`);
    }
  }

  async execute(architectureDesign, outputDir) {
    try {
      // 1. 実装計画の生成（構造のみ）
      const structureMessages = [
        await this.formatMessage(
          `You are an implementation expert. Your task is to analyze architecture design output and create a directory and file structure plan.
          
          Return your plan in the following JSON format ONLY:
          {
            "implementation_plan": {
              "directory_structure": ["List of directories to create"],
              "files": [
                {
                  "path": "Relative path to the file",
                  "type": "File type (e.g., source, config, test)",
                  "description": "Brief description of the file's purpose"
                }
              ],
              "dependencies": {
                "required_packages": ["List of required packages"],
                "external_services": ["List of external services needed"]
              }
            }
          }`,
          'system'
        ),
        await this.formatMessage(`
          Architecture Design:
          ${JSON.stringify(architectureDesign, null, 2)}
          
          Create a directory and file structure plan. Return ONLY the JSON response without any additional text or explanations.
        `)
      ];

      const structureResponse = await this.model.invoke(structureMessages);
      let implementationPlan = await this.cleanJsonResponse(structureResponse.content);

      // 2. 各ファイルのコンテンツを個別に生成
      for (const file of implementationPlan.implementation_plan.files) {
        const contentMessages = [
          await this.formatMessage(
            `You are an implementation expert. Your task is to generate the content for a specific file based on the architecture design.
            Return ONLY the file content without any additional text or explanations.`,
            'system'
          ),
          await this.formatMessage(`
            Architecture Design:
            ${JSON.stringify(architectureDesign, null, 2)}
            
            Generate content for file: ${file.path}
            Type: ${file.type}
            Description: ${file.description}
            
            Return ONLY the file content.
          `)
        ];

        const contentResponse = await this.model.invoke(contentMessages);
        file.content = contentResponse.content.replace(/```[a-z]*\n|```/g, '').trim();
      }

      // 3. 実装計画の検証
      const validationResult = await this.validateImplementationPlan(implementationPlan);
      if (validationResult !== true) {
        const errorMessage = Array.isArray(validationResult) 
          ? validationResult.join(', ')
          : 'Unknown validation error';
        throw new Error(`Implementation plan validation failed: ${errorMessage}`);
      }

      // 4. ディレクトリ構造の作成
      const directoryResults = await this.createDirectoryStructure(
        outputDir,
        implementationPlan.implementation_plan.directory_structure
      );

      // 5. ファイルの作成
      const fileResults = await this.createFiles(outputDir, implementationPlan.implementation_plan.files);

      // 6. 結果の記録
      const summary = {
        total_directories: implementationPlan.implementation_plan.directory_structure.length,
        created_directories: directoryResults.created.length,
        failed_directories: directoryResults.errors.length,
        total_files: implementationPlan.implementation_plan.files.length,
        created_files: fileResults.success.length,
        failed_files: fileResults.errors.length,
        dependencies: implementationPlan.implementation_plan.dependencies
      };

      await this.saveDebugInfo({
        implementation_plan: implementationPlan,
        directory_results: directoryResults,
        file_results: fileResults,
        summary
      }, 'implementation_summary');

      return {
        summary,
        timestamp: new Date().toISOString()
      };
    } catch (error) {
      this.logger.error('Error in implementation process', { error: error.message, stack: error.stack });
      throw error;
    }
  }

  async cleanJsonResponse(response) {
    try {
      this.logger.debug('Parsing implementation content', { response });

      // マークダウンコードブロックを除去
      let cleaned = response.replace(/```(json)?\n|\n```/g, '');
      
      // 先頭と末尾の空白を除去
      cleaned = cleaned.trim();
      
      // 不完全なJSONを修復する試み
      if (cleaned.endsWith(',') || cleaned.endsWith('"')) {
        cleaned = cleaned.slice(0, -1) + '}}}';
      }
      
      // JSONとして解析してバリデーション
      let parsed;
      try {
        parsed = JSON.parse(cleaned);
      } catch (error) {
        // JSONが不完全な場合、最小限の構造を確保
        if (error instanceof SyntaxError) {
          const minimalStructure = {
            implementation_plan: {
              directory_structure: [],
              files: [],
              dependencies: {
                required_packages: [],
                external_services: []
              }
            }
          };
          
          // 既存のデータを可能な限り保持
          try {
            const partialData = cleaned.match(/"implementation_plan"\s*:\s*{([^}]+)}}/);
            if (partialData) {
              const partialJson = `{${partialData[0]}}`;
              const partialParsed = JSON.parse(partialJson);
              Object.assign(minimalStructure.implementation_plan, partialParsed.implementation_plan);
            }
          } catch (e) {
            this.logger.warn('Failed to recover partial data', { error: e.message });
          }
          
          parsed = minimalStructure;
        } else {
          throw error;
        }
      }
      
      // 必須フィールドの存在確認と補完
      if (!parsed.implementation_plan) {
        parsed.implementation_plan = {};
      }
      if (!parsed.implementation_plan.directory_structure) {
        parsed.implementation_plan.directory_structure = [];
      }
      if (!parsed.implementation_plan.files) {
        parsed.implementation_plan.files = [];
      }
      if (!parsed.implementation_plan.dependencies) {
        parsed.implementation_plan.dependencies = {
          required_packages: [],
          external_services: []
        };
      }
      
      return parsed;
    } catch (error) {
      this.logger.error('Error cleaning and validating JSON response', { error: error.message, stack: error.stack });
      throw new Error(`JSON cleaning and validation failed: ${error.message}\nOriginal response: ${response}`);
    }
  }
}

エージェントの処理結果まとめ

{
  "timestamp": "2025-02-12T13-04-58-272Z",
  "requirement": "2つの数値を入力して足し算ができる、最小限の電卓アプリを作成する",
  "model": "claude-3-5-sonnet-20241022",
  "result": {
    "requirementAnalysis": {
      "analysis": "{\n  \"functional_requirements\": [\n    {\n      \"id\": \"F1\",\n      \"description\": \"2つの数値を入力できるインターフェースの提供\",\n      \"priority\": \"high\"\n    },\n    {\n      \"id\": \"F2\",\n      \"description\": \"足し算の実行機能\",\n      \"priority\": \"high\"\n    },\n    {\n      \"id\": \"F3\",\n      \"description\": \"計算結果の表示機能\",\n      \"priority\": \"high\"\n    }\n  ],\n  \"non_functional_requirements\": [\n    {\n      \"id\": \"NF1\",\n      \"category\": \"usability\",\n      \"description\": \"シンプルで直感的なユーザーインターフェース\"\n    },\n    {\n      \"id\": \"NF2\",\n      \"category\": \"performance\",\n      \"description\": \"計算結果は即時に表示される（1秒以内）\"\n    },\n    {\n      \"id\": \"NF3\",\n      \"category\": \"reliability\",\n      \"description\": \"入力値の正当性チェックを行い、エラー処理を適切に実施\"\n    }\n  ],\n  \"risks\": [\n    {\n      \"id\": \"R1\",\n      \"description\": \"不正な入力値（文字列や記号）による計算エラー\",\n      \"mitigation\": \"入力値のバリデーション機能の実装\"\n    },\n    {\n      \"id\": \"R2\",\n      \"description\": \"大きすぎる数値による計算オーバーフロー\",\n      \"mitigation\": \"適切なデータ型の選択と入力値の制限\"\n    }\n  ],\n  \"dependencies\": [\n    {\n      \"id\": \"D1\",\n      \"description\": \"数値入力用のUIコンポーネント\",\n      \"type\": \"internal\"\n    },\n    {\n      \"id\": \"D2\",\n      \"description\": \"基本的な数値計算ライブラリ\",\n      \"type\": \"internal\"\n    }\n  ]\n}",
      "timestamp": "2025-02-12T13:00:57.855Z"
    },
    "functionalDesign": {
      "design": {
        "text": "# 足し算アプリケーション 機能設計書\n\n## 1. システム概要\n\n本設計書は、2つの数値を入力し足し算を行うWebアプリケーションの機能設計を定義します。\n\n## 2. 画面設計\n\n### 2.1 メイン画面レイアウト\n\n```\n+----------------------------------+\n|        足し算アプリケーション        |\n+----------------------------------+\n|  数値1: [__________] ①           |\n|                                  |\n|  数値2: [__________] ②           |\n|                                  |\n|      [計算実行] ③                 |\n|                                  |\n|  計算結果: [__________] ④         |\n|                                  |\n|  (エラーメッセージ表示エリア) ⑤     |\n+----------------------------------+\n```\n\n### 2.2 UI要素の詳細\n\n1. 数値入力フィールド1\n   - type: number\n   - 最大値: 999999999\n   - 最小値: -999999999\n   - 必須入力\n\n2. 数値入力フィールド2\n   - type: number\n   - 最大値: 999999999\n   - 最小値: -999999999\n   - 必須入力\n\n3. 計算実行ボタン\n   - クリックで計算処理を実行\n\n4. 計算結果表示フィールド\n   - 読み取り専用\n   - 計算結果を小数点以下2桁まで表示\n\n5. エラーメッセージ表示エリア\n   - エラー発生時にメッセージを表示\n   - 通常時は非表示\n\n## 3. 機能仕様\n\n### 3.1 入力値バリデーション\n\n- 入力チェック項目：\n  1. 必須チェック\n  2. 数値型チェック\n  3. 範囲チェック（-999999999 ～ 999999999）\n\n- エラーメッセージ：\n  - 「数値を入力してください」\n  - 「有効な数値を入力してください」\n  - 「入力可能な範囲を超えています」\n\n### 3.2 計算処理\n\n1. 入力値の取得\n2. バリデーションチェック\n3. 足し算の実行\n4. 結果の表示\n   - 正常時：計算結果を表示\n   - エラー時：エラーメッセージを表示\n\n### 3.3 エラー処理\n\n```mermaid\nflowchart TD\n    A[開始] --> B{入力値チェック}\n    B -->|OK| C[計算実行]\n    B -->|NG| D[エラーメッセージ表示]\n    C --> E{計算結果チェック}\n    E -->|OK| F[結果表示]\n    E -->|NG| D\n    F --> G[終了]\n    D --> G\n```\n\n## 4. データ設計\n\n### 4.1 入力データ\n```typescript\ninterface InputData {\n    value1: number;\n    value2: number;\n}\n```\n\n### 4.2 出力データ\n```typescript\ninterface OutputData {\n    result: number;\n    error?: string;\n}\n```\n\n## 5. パフォーマンス要件\n\n- 計算処理の応答時間: 1秒以内\n- 入力値のバリデーション: リアルタイム実行\n- エラーメッセージの表示: 即時表示\n\n## 6. テスト要件\n\n### 6.1 単体テスト項目\n- 入力値バリデーション\n- 計算ロジック\n- エラー処理\n\n### 6.2 結合テスト項目\n- UI操作と計算処理の連携\n- エラーメッセージ表示の整合性\n\n### 6.3 性能テスト項目\n- 応答時間の測定\n- 入力値の上限テスト\n\n以上が足し算アプリケーションの機能設計となります。",
        "raw": "# 足し算アプリケーション 機能設計書\n\n## 1. システム概要\n\n本設計書は、2つの数値を入力し足し算を行うWebアプリケーションの機能設計を定義します。\n\n## 2. 画面設計\n\n### 2.1 メイン画面レイアウト\n\n```\n+----------------------------------+\n|        足し算アプリケーション        |\n+----------------------------------+\n|  数値1: [__________] ①           |\n|                                  |\n|  数値2: [__________] ②           |\n|                                  |\n|      [計算実行] ③                 |\n|                                  |\n|  計算結果: [__________] ④         |\n|                                  |\n|  (エラーメッセージ表示エリア) ⑤     |\n+----------------------------------+\n```\n\n### 2.2 UI要素の詳細\n\n1. 数値入力フィールド1\n   - type: number\n   - 最大値: 999999999\n   - 最小値: -999999999\n   - 必須入力\n\n2. 数値入力フィールド2\n   - type: number\n   - 最大値: 999999999\n   - 最小値: -999999999\n   - 必須入力\n\n3. 計算実行ボタン\n   - クリックで計算処理を実行\n\n4. 計算結果表示フィールド\n   - 読み取り専用\n   - 計算結果を小数点以下2桁まで表示\n\n5. エラーメッセージ表示エリア\n   - エラー発生時にメッセージを表示\n   - 通常時は非表示\n\n## 3. 機能仕様\n\n### 3.1 入力値バリデーション\n\n- 入力チェック項目：\n  1. 必須チェック\n  2. 数値型チェック\n  3. 範囲チェック（-999999999 ～ 999999999）\n\n- エラーメッセージ：\n  - 「数値を入力してください」\n  - 「有効な数値を入力してください」\n  - 「入力可能な範囲を超えています」\n\n### 3.2 計算処理\n\n1. 入力値の取得\n2. バリデーションチェック\n3. 足し算の実行\n4. 結果の表示\n   - 正常時：計算結果を表示\n   - エラー時：エラーメッセージを表示\n\n### 3.3 エラー処理\n\n```mermaid\nflowchart TD\n    A[開始] --> B{入力値チェック}\n    B -->|OK| C[計算実行]\n    B -->|NG| D[エラーメッセージ表示]\n    C --> E{計算結果チェック}\n    E -->|OK| F[結果表示]\n    E -->|NG| D\n    F --> G[終了]\n    D --> G\n```\n\n## 4. データ設計\n\n### 4.1 入力データ\n```typescript\ninterface InputData {\n    value1: number;\n    value2: number;\n}\n```\n\n### 4.2 出力データ\n```typescript\ninterface OutputData {\n    result: number;\n    error?: string;\n}\n```\n\n## 5. パフォーマンス要件\n\n- 計算処理の応答時間: 1秒以内\n- 入力値のバリデーション: リアルタイム実行\n- エラーメッセージの表示: 即時表示\n\n## 6. テスト要件\n\n### 6.1 単体テスト項目\n- 入力値バリデーション\n- 計算ロジック\n- エラー処理\n\n### 6.2 結合テスト項目\n- UI操作と計算処理の連携\n- エラーメッセージ表示の整合性\n\n### 6.3 性能テスト項目\n- 応答時間の測定\n- 入力値の上限テスト\n\n以上が足し算アプリケーションの機能設計となります。"
      },
      "timestamp": "2025-02-12T13:01:14.929Z"
    },
    "architectureDesign": {
      "architectureDesign": {
        "analysis": {
          "requirements_summary": "Simple web-based calculator application that adds two numbers with input validation and error handling",
          "technical_constraints": [
            "Response time under 1 second",
            "Real-time input validation",
            "Number range: -999999999 to 999999999",
            "Display results up to 2 decimal places"
          ],
          "key_considerations": [
            "Input validation and error handling",
            "Real-time user feedback",
            "Simple and responsive UI",
            "Maintainable code structure"
          ]
        },
        "technology_stack": {
          "frontend": [
            "React.js",
            "TypeScript",
            "Material-UI",
            "React Hook Form"
          ],
          "backend": [
            "Node.js",
            "Express.js",
            "TypeScript"
          ],
          "database": [
            "Not required for this application"
          ],
          "infrastructure": [
            "Docker",
            "Nginx",
            "AWS Lambda",
            "CloudFront CDN"
          ]
        },
        "architecture": {
          "components": [
            "Frontend React Application",
            "Input Validation Module",
            "Calculation Service",
            "Error Handling Module",
            "API Gateway"
          ],
          "interactions": [
            "User inputs numbers through React UI",
            "Client-side validation occurs in real-time",
            "Calculation request sent to backend API",
            "Response processed and displayed to user"
          ],
          "apis": [
            "POST /api/calculate: Performs addition operation",
            "GET /api/health: Service health check"
          ],
          "data_model": [
            "InputData: {value1: number, value2: number}",
            "OutputData: {result: number, error?: string}"
          ]
        },
        "security": {
          "measures": [
            "Input sanitization",
            "Rate limiting",
            "CORS configuration",
            "HTTP Headers security"
          ],
          "considerations": [
            "XSS prevention",
            "CSRF protection",
            "Input validation",
            "Error message security"
          ]
        },
        "scalability": {
          "strategies": [
            "Serverless architecture",
            "CDN for static content",
            "Containerization",
            "Load balancing"
          ],
          "bottlenecks": [
            "None expected due to simple calculation nature",
            "Potential API rate limiting issues under high load"
          ]
        },
        "rationale": {
          "decisions": [
            "Use of React for frontend",
            "Serverless backend architecture",
            "No database required",
            "TypeScript for type safety"
          ],
          "justifications": [
            "React provides efficient UI updates and good developer experience",
            "Serverless reduces operational overhead for simple application",
            "Application is stateless and requires no data persistence",
            "TypeScript ensures better code quality and maintainability"
          ]
        },
        "additional_considerations": {
          "Are there any potential security vulnerabilities in this architecture?": "Based on the provided context, while the architecture includes several security measures, there are a few potential security vulnerabilities that should be considered:\n\n1. Input-Related Vulnerabilities:\n- Although input validation is mentioned, there's no specific mention of how numerical inputs are sanitized against injection attacks\n- The range validation (-999999999 to 999999999) needs to be strictly enforced on both client and server side to prevent integer overflow attacks\n\n2. API Security:\n- While rate limiting is mentioned, there's no specific detail about the implementation\n- The health check endpoint (/api/health) could potentially expose system information if not properly configured\n- No mention of API authentication/authorization mechanisms, though it might not be critical for this simple calculator\n\n3. Frontend Security:\n- XSS prevention is listed but implementation details aren't specified\n- The use of Material-UI components needs to ensure proper security configurations\n- Client-side validation could be bypassed if not properly backed by server-side validation\n\n4. Infrastructure Security:\n- AWS Lambda configuration details aren't specified regarding security settings\n- CloudFront CDN security settings and access controls aren't detailed\n- No mention of Docker container security configurations\n\n5. Network Security:\n- While CORS is mentioned, specific configuration details aren't provided\n- HTTP Headers security is listed but specific headers aren't detailed (e.g., CSP, X-Frame-Options)\n\nRecommendations for improvement:\n1. Implement strict input validation on both client and server\n2. Add specific rate-limiting parameters\n3. Configure proper security headers\n4. Implement secure Docker configurations\n5. Add detailed CORS policies\n6. Consider adding API authentication for production environment\n7. Implement proper error handling that doesn't expose sensitive information\n\nWhile these vulnerabilities exist, many are likely low-risk given the simple nature of the calculator application. However, they should still be addressed to ensure robust security.",
          "How can we improve the scalability of this design?": "Based on the provided context, while the current design already includes several good scalability measures, here are additional ways to improve the scalability:\n\n1. Enhanced Caching Strategy:\n- Implement browser caching for static assets\n- Add Redis cache layer for frequent calculations\n- Utilize service worker for offline functionality\n- Configure aggressive CloudFront cache settings\n\n2. Load Balancing Improvements:\n- Implement AWS Application Load Balancer for better request distribution\n- Add multiple availability zones for redundancy\n- Set up auto-scaling groups for Lambda functions\n- Configure regional failover\n\n3. Performance Optimizations:\n- Implement code splitting in React application\n- Use lazy loading for components\n- Optimize bundle size through tree shaking\n- Implement request batching for multiple calculations\n\n4. Infrastructure Enhancements:\n- Deploy to multiple regions using Route 53 for geographic routing\n- Implement edge computing using AWS Lambda@Edge\n- Set up elastic container service (ECS) as a backup to Lambda\n- Use AWS API Gateway caching\n\n5. Monitoring and Auto-scaling:\n- Implement CloudWatch metrics for better scaling decisions\n- Set up dynamic concurrency limits for Lambda\n- Add automated performance testing\n- Configure predictive scaling based on usage patterns\n\nThe current design is already well-suited for scaling due to its serverless architecture, but these improvements would make it even more robust for handling larger loads while maintaining performance.\n\nKey focus should be on:\n- Caching strategies\n- Geographic distribution\n- Automated scaling\n- Performance monitoring\n- Resource optimization\n\nThese improvements would help handle potential future growth while maintaining the sub-1-second response time requirement.",
          "Are there any missing integration points?": "Looking at the provided context, the architecture and technology stack appear to be well-integrated, but there are a few potential integration points that could be added for a more complete solution:\n\n1. Monitoring & Logging Integration\n- No specific monitoring or logging solutions are mentioned\n- Could add integration with services like CloudWatch or ELK stack for observability\n- Would help track performance metrics and debug issues\n\n2. Testing Infrastructure Integration\n- No mention of testing tools or integration testing setup\n- Could add integration with testing services like Jest, Cypress, or AWS CodeBuild\n- Important for ensuring quality and reliability\n\n3. CI/CD Pipeline Integration\n- Deployment and continuous integration setup is not specified\n- Could add integration with services like GitHub Actions, Jenkins, or AWS CodePipeline\n- Would streamline development and deployment processes\n\n4. Error Tracking Service\n- No error tracking service is mentioned\n- Could integrate with services like Sentry or Rollbar\n- Would help in identifying and fixing production issues\n\n5. Performance Monitoring Integration\n- While response time requirements are specified, no performance monitoring solution is mentioned\n- Could integrate with services like New Relic or AWS X-Ray\n- Would help ensure technical constraints are met\n\nThese additions would make the system more robust and maintainable, though they may not all be necessary depending on the scale and requirements of the application.",
          "What are the potential performance bottlenecks?": "According to the context, there are minimal potential performance bottlenecks expected due to the simple nature of the calculator application. Specifically, the context mentions two potential bottlenecks:\n\n1. \"None expected due to simple calculation nature\" - Since this is a basic calculator performing addition operations, the computational complexity is minimal and shouldn't cause performance issues.\n\n2. \"Potential API rate limiting issues under high load\" - This is the only real bottleneck identified, which could occur if there are too many requests hitting the API simultaneously due to the implemented rate limiting security measure.\n\nThe application's architecture and technology choices (serverless, CDN, containerization, load balancing) are specifically designed to minimize performance issues. The technical constraints also specify a response time requirement of under 1 second, which should be easily achievable given the simple nature of the calculations and the scalable infrastructure in place."
        }
      },
      "timestamp": "2025-02-12T13:02:06.763Z"
    },
    "structuralDesign": {
      "structure": {
        "json": {
          "react": "^18.x",
          "typescript": "^4.x",
          "material-ui": "^5.x",
          "react-hook-form": "^7.x",
          "axios": "^1.x"
        },
        "raw": "Based on the provided architecture design, I'll define the detailed structural elements and implementation guidelines.\n\n1. Directory Structure & File Organization\n```\n/calculator-app\n├── frontend/\n│   ├── src/\n│   │   ├── components/\n│   │   │   ├── Calculator/\n│   │   │   │   ├── Calculator.tsx\n│   │   │   │   ├── CalculatorInput.tsx\n│   │   │   │   ├── CalculatorResult.tsx\n│   │   │   │   └── styles.ts\n│   │   ├── services/\n│   │   │   ├── api.ts\n│   │   │   └── validation.ts\n│   │   ├── utils/\n│   │   │   ├── errorHandling.ts\n│   │   │   └── numberFormatting.ts\n│   │   ├── types/\n│   │   │   └── index.ts\n│   │   └── App.tsx\n├── backend/\n│   ├── src/\n│   │   ├── controllers/\n│   │   │   └── calculatorController.ts\n│   │   ├── services/\n│   │   │   └── calculationService.ts\n│   │   ├── middleware/\n│   │   │   ├── validation.ts\n│   │   │   ├── errorHandler.ts\n│   │   │   └── rateLimiter.ts\n│   │   ├── types/\n│   │   │   └── index.ts\n│   │   └── app.ts\n└── docker/\n    ├── frontend.Dockerfile\n    └── backend.Dockerfile\n```\n\n2. Class/Interface Specifications\n\n```typescript\n// Frontend Types\ninterface CalculatorInput {\n  value1: number;\n  value2: number;\n}\n\ninterface CalculatorResult {\n  result: number;\n  error?: string;\n}\n\n// Backend Types\ninterface CalculationRequest {\n  value1: number;\n  value2: number;\n}\n\ninterface CalculationResponse {\n  result: number;\n  error?: string;\n}\n\n// Error Types\ninterface AppError extends Error {\n  statusCode: number;\n  details?: any;\n}\n```\n\n3. Function Specifications\n\n```typescript\n// Frontend Services\nclass CalculatorService {\n  static async calculate(input: CalculatorInput): Promise<CalculatorResult>;\n  static validateInput(value: number): boolean;\n  static formatResult(value: number): string;\n}\n\n// Backend Services\nclass CalculationService {\n  static add(a: number, b: number): number;\n  static validateRange(value: number): boolean;\n  static formatResult(value: number): number;\n}\n```\n\n4. Implementation Guidelines\n\na. Coding Standards:\n- Use TypeScript strict mode\n- Follow ESLint configuration\n- Use async/await for promises\n- Implement proper error handling\n- Use meaningful variable/function names\n- Add JSDoc comments for complex functions\n\nb. Error Handling Pattern:\n```typescript\ntry {\n  // Operation\n} catch (error) {\n  throw new AppError({\n    message: 'User-friendly message',\n    statusCode: 400,\n    details: error\n  });\n}\n```\n\nc. Input Validation Pattern:\n```typescript\nconst validateInput = (value: number): boolean => {\n  return value >= -999999999 && \n         value <= 999999999 && \n         Number.isFinite(value);\n};\n```\n\n5. Dependencies and Relationships\n\nFrontend Dependencies:\n```json\n{\n  \"react\": \"^18.x\",\n  \"typescript\": \"^4.x\",\n  \"material-ui\": \"^5.x\",\n  \"react-hook-form\": \"^7.x\",\n  \"axios\": \"^1.x\"\n}\n```\n\nBackend Dependencies:\n```json\n{\n  \"express\": \"^4.x\",\n  \"typescript\": \"^4.x\",\n  \"cors\": \"^2.x\",\n  \"helmet\": \"^5.x\",\n  \"express-rate-limit\": \"^6.x\"\n}\n```\n\n6. Design Patterns to Use:\n- Repository Pattern for API calls\n- Factory Pattern for error creation\n- Strategy Pattern for validation\n- Observer Pattern for real-time updates\n- Singleton Pattern for service instances\n\n7. Testing Structure:\n```\n/tests\n├── unit/\n│   ├── calculator.test.ts\n│   └── validation.test.ts\n├── integration/\n│   └── api.test.ts\n└── e2e/\n    └── calculator.spec.ts\n```\n\n8. Security Implementation:\n```typescript\n// CORS Configuration\nconst corsOptions = {\n  origin: process.env.FRONTEND_URL,\n  methods: ['GET', 'POST'],\n  allowedHeaders: ['Content-Type']\n};\n\n// Rate Limiting\nconst rateLimiter = rateLimit({\n  windowMs: 15 * 60 * 1000,\n  max: 100\n});\n```\n\nThese specifications provide a solid foundation for implementing the calculator application while maintaining security, performance, and maintainability requirements."
      },
      "timestamp": "2025-02-12T13:02:25.880Z"
    },
    "implementation": {
      "summary": {
        "total_directories": 19,
        "created_directories": 19,
        "failed_directories": 0,
        "total_files": 18,
        "created_files": 18,
        "failed_files": 0,
        "dependencies": {
          "required_packages": [
            "react@18.x",
            "typescript@4.x",
            "@material-ui/core@5.x",
            "react-hook-form@7.x",
            "axios@1.x",
            "express@4.x",
            "cors@2.x",
            "helmet@5.x",
            "express-rate-limit@6.x"
          ],
          "external_services": [
            "AWS Lambda",
            "CloudFront CDN",
            "API Gateway"
          ]
        }
      },
      "timestamp": "2025-02-12T13:04:58.247Z"
    },
    "outputDirectory": "C:\\Users\\yamaz\\Dropbox\\work\\git\\auto-dev\\InitialStudy\\output\\implementation_2025-02-12T13-02-25-881Z"
  }
}

現在のアウトプットの状況としては、「2つの数値を入力して足し算ができる、最小限の電卓アプリを作成する」という単純なサンプルで、Claoude 3.5 SonnetとGemini 2.0 flashを使用して、ソースコードを生成することはできましたが、いずれもそのままでは動作せず、AIエディタを使用して手直しをしました

Claude 3.5 Sonnetの場合

node.js/typescriptで、frontend/backendのプログラム構成でした。要求に対して、おーばスペックな気がします。この処理のために、158,340トークン、0.63USDかかりました。

・組み込むモジュールの情報がないの(packege.jsonの作成要）

・typescriptとJavascriptの混在と不整合
・frontendの画面のエントリーポイントがない(index.html、main.tsx): 以前にcursorあたりを使用したときも、最初これらのファイルが欠損していたけど、何でしょうね。Claude 3.5 Sonnetの癖？
・CORSの設定不整合
・forntendとbackendoで受け渡すデータの型の不整合>

Gemini 2.0 flashの場合

python+tkのシンプルなプログラム構成でした。

・モジュールの参照指定に一部不備あり。

・画面を生成する関数が未実装
・計算ボタン押下でチェック関数が未実装でエラー発生

AIエディタに直接お願いした方が、早くできるのですが、いろいろ試していこうと思っています。

4.リポジトリ

2025.02.13 山崎作成