Developed modular AI application platform framework

📅 2025-04-13 — Session: Developed modular AI application platform framework

🕒 06:05–07:20
🏷️ Labels: AI, Modular Design, Appgun, MVP, Development
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to design a modular and scalable AI application platform, focusing on architecture, components, and development steps.

Discussed the vision for a modular AI platform, emphasizing scalable architecture and modular design.
Explored unique approaches to AI app development, prioritizing developer-first UX and innovation.
Highlighted the concept of being an ‘unaware pioneer’ in AI development by integrating existing tools innovatively.
Outlined a launch strategy for the appgun dev platform, covering target audiences, marketing channels, and preparation checklists.
Introduced APPGUN, a dev tool MVP for creating fullstack AI-ready apps with a single command.
Discussed strategies for transforming services into modular MVP templates for AI tools.
Emphasized the role transformation to ‘Human Compiler of Intent’ for orchestrating AI agents.
Prioritized MVPs for AI projects to maximize efficiency and leverage dependencies.
Outlined strategies for creating modular AI systems with core layers and protocol design.
Provided best practices for managing a ‘sandbox’ for core library development.
Introduced the concept of AppGun as a modular fullstack launcher using mvp.json manifests.
Discussed using monorepos for managing modular code in app development.
Explained frontend and backend referencing differences and best practices in FastAPI.
Designed backend and frontend protocols for microservices architecture.
Developed a backend packaging and integration strategy.
Enhanced frontend setup for optimal performance.
Set up a Python package for the core module as an editable install.