Refactored and Modularized AI Development Framework

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📅 2025-04-13 — Session: Refactored and Modularized AI Development Framework

🕒 07:20–08:40
🏷️ Labels: AI, Modularity, Refactoring, Fastapi, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to refactor and modularize components of an AI development framework, enhancing scalability, maintainability, and efficiency.

Key Activities

  • Refactored the setup script to install the core module as an editable Python package, improving project structure.
  • Conducted an architectural analysis of AI-first products, focusing on modularization and reuse.
  • Developed an architecture template for scalable AI-powered applications, emphasizing backend and frontend modularity.
  • Outlined the development of a modular AI framework core_ai/, supporting multiple MVPs.
  • Planned a 5-day strategy for developing AI-powered MVPs using shared components.
  • Proposed a custom flow engine inspired by LangChain for flexible AI workflow composition.
  • Reviewed and refactored the core AI modules, consolidating logic into two main files for better modularity.
  • Created HTTP endpoints in FastAPI to trigger AI flows, consolidating API route files for better management.

Achievements

  • Successfully refactored the core AI execution files for enhanced structure and modularity.
  • Developed a clear strategy for API route consolidation in FastAPI, aligning with best practices.

Pending Tasks

  • Implement the proposed modular refactor plan for the AI system architecture.
  • Finalize the custom flow engine inspired by LangChain.
  • Complete the 5-day MVP development plan and evaluate outcomes.

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