YouTip

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Different domains have different requirements and characteristics for Agents.

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Through domain customization, Agents can provide more professional services.

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Code Agent

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Code Agent is currently one of the most successful application areas for Agents.

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It can understand codebases, write new code, and debug issues.

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Core Capabilities

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• Code Completion: Predict the next piece of code based on context.
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• Code Generation: Generate code based on natural language descriptions.
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• Code Review: Discover issues and areas for improvement in the code.
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• Bug Localization: Analyze error messages and locate the root cause of problems.
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• Code Refactoring: Propose and execute code optimization suggestions.
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Representative Systems

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System	Developer	Features
GitHub Copilot	GitHub/OpenAI	Primarily code completion, real-time suggestions
Claude Code	Anthropic	Command-line assistant, deep code understanding
Devin	Cognition	Autonomous programming, end-to-end task execution
Cursor	Cursor	AI code editor, deep IDE integration

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Code Implementation Example

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Text2SQL Agent Implementation

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class Text2SQLAgent:\n    \n    """\n    Text2SQL Agent\n    Convert natural language to SQL queries\n    """\n    \n    def __init__ (self, llm, schema):\n        self.llm= llm\n        # Database schema information\n        self.schema= schema\n    \n    def convert(self, question):\n        """\n        Convert Natural language question to SQL\n        :param question: Natural language question\n        :return: SQL Query statement\n        """\n        prompt = f"""\n        You are an SQL expert.\nDatabase Schema:\n\n        {self.schema}\n\nRules:\n        1. Only generate SELECT queries (INSERT/UPDATE/DELETE not supported)\n        2. Use appropriate table aliases\n        3. Add necessary JOIN conditions\n        4. Use clear column aliases\n\nQuestion:{question}\nPlease generate the corresponding SQL query.\n        """\n        sql =self.llm.generate(prompt)\n        # Security Check\n        return self.sanitize(sql)\n    \n    def sanitize(self, sql):\n        """\n        SQL Security Check\n        Ensure no dangerous operations are included\n        """\n        # Lowercase conversion check\n        sql_lower = sql.lower().strip()\n        # Check if only SELECT statements are included\n        forbidden_keywords =[\n            "insert","update","delete","drop",\n            "create","alter","truncate","exec",\n            "execute","grant","revoke"\n        ]\n        for keyword in forbidden_keywords:\n            if keyword in sql_lower:\n                raise ValueError(f"Prohibited keywords: {keyword}")\n        return sql\n    \n    def execute(self, question, db_connection):\n        """\n        Execute Text2SQL query\n        """\n        sql =self.convert(question)\n        cursor = db_connection.cursor()\n        cursor.execute(sql)\n        results = cursor.fetchall()\n        columns =[descfor desc in cursor.description]\n        return{"columns": columns,"rows": results}\n

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Data Analysis Agent

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Data Analysis Agents can understand data requirements, execute queries, and generate analysis reports.

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Enabling non-technical personnel to perform complex data analysis as well.

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Core Capabilities

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• Data Understanding: Understand database structure and data meaning.
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• Query Generation: Text2SQL, converting natural language into queries.
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• Visualization: Generate chart suggestions and configurations.
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• Report Generation: Analyze results and generate natural language reports.
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Code Implementation

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Data Analysis Agent Implementation

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class DataAnalysisAgent:\n    \n    """\n    Data Analysis Agent\n    Understand data requirements, perform analysis, and generate reports\n    """\n    \n    def __init__ (self, llm, db_conne\n

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