PyBaker: Agentic Workflow Creator

A sophisticated framework that leverages LangChain, LangGraph, and LangMem to create custom agentic workflows for code generation and modification. The system employs a multi-stage approach with specialized agents to ensure high-quality, consistent code output.

Key Features

• Multi-Stage Framework

  • Intelligent template usage
  • Instruct model integration
  • Agent-based task execution

• Specialized Agents

  • Architect Agent
  • Services Agent
  • Controllers Agent
  • Models Agent

• Workflow Management

  • Task decomposition
  • Agent coordination
  • Quality control

Technical Implementation

The system utilizes:

• LangChain for agent orchestration
• LangGraph for workflow management
• LangMem for context persistence
• Template-based code generation

Agent Specialization

Each agent has a specific focus:

• Architect Agent: System design and structure
• Services Agent: Service layer implementation
• Controllers Agent: Control flow and logic
• Models Agent: Data model definition

Use Cases

• Complex codebase generation
• System refactoring
• Feature implementation
• Code optimization

Future Development

Planned enhancements:

• Additional agent types
• Enhanced workflow visualization
• Performance optimization
• Integration capabilities