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LangGraph Code Assistant

Lab Overview​

Learn how to build an advanced code assistant using LangGraph, enabling sophisticated code generation and analysis capabilities.

Lab Materials​

Key Topics​

  • LangGraph architecture
  • Code assistance implementation
  • Multi-actor systems
  • State management
  • Error handling

Features​

  • Code generation
  • Syntax analysis
  • Error detection
  • Context management
  • Multi-step processing

Technical Components​

  • LangGraph setup
  • Code analysis tools
  • State management
  • Agent coordination
  • Response generation

Implementation Steps​

  1. LangGraph configuration
  2. Code analysis setup
  3. Agent orchestration
  4. State management
  5. Error handling
  6. Testing and validation

Best Practices​

  • Graph design patterns
  • Code quality checks
  • Error recovery
  • Performance optimization
  • Security considerations

Prerequisites​

  • Basic understanding of:
    • LangGraph
    • Code analysis
    • Python programming
    • Graph theory
  • Development environment setup

Resources​