Developed Modular AI Workflow Architecture

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Developed Modular AI Workflow Architecture

  • Day: 2025-04-11
  • Time: 13:55 to 15:10
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: AI, MVP, Modular Design, Fastapi, Python

Description

Session Goal

The session aimed to design and execute a modular AI workflow architecture for a Minimum Viable Product (MVP) using FastAPI and Next.js, focusing on creating reusable components and ensuring future-proof integration.

Key Activities

  • Modular App Architecture Design: Explored strategies for building a flexible AI framework with reusable components.
  • API Layer Understanding: Detailed the components of the /[[api]]/ layer, including routes and adapters.
  • MVP Execution Checklist: Developed a checklist for executing MVP #1, covering folder setup, prompt schema, flow logic, and more.
  • Directory Tree Setup: Provided instructions for scaffolding an MVP directory structure using Python and FastAPI.
  • Phased Development Strategy: Implemented a phased strategy to maintain momentum and clarity in project execution.
  • Role Definition in AI Workflow: Defined roles of runner.py and adapters/local.py in the modular architecture.
  • Code Review Automation: Created initial boilerplate code for automating code review processes.
  • Python Import Collision Resolution: Addressed and resolved a Python import name collision issue.
  • Function Fix in local.py: Fixed a missing function error in local.py.
  • Strategic Merge Plan: Outlined a plan for transitioning from a prototype to a clean MVP.
  • API Setup Migration Plan: Detailed steps for migrating an API setup into the new MVP.

Achievements

  • Successfully designed a modular architecture strategy and executed initial steps for MVP development.
  • Resolved technical issues such as import collisions and missing functions.
  • Established a clear roadmap and checklist for future development phases.

Pending Tasks

  • Complete the implementation of the API setup migration.
  • Finalize the strategic merge of components from the prototype to the MVP.

Evidence

  • source_file=2025-04-11.sessions.jsonl, line_number=1, event_count=0, session_id=2a87237562432ba6350b10ef1275e9813d34481bf31ae0273e47e7f80717794a
  • event_ids: []

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