📅 2025-04-18 — Session: Strategic Planning for MIT-Licensed Software Reuse
🕒 19:40–20:10
🏷️ Labels: Mit License, Promptflow, Sdk Development, Ai Functions, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore the legal and strategic framework for reusing MIT-licensed PromptFlow code in proprietary software development.
Key Activities
- Legal Strategy Framework: Discussed compliance with MIT licensing requirements and strategies for integrating core functionalities into proprietary software.
- License Implications: Clarified that using MIT-licensed code does not necessitate open-sourcing the entire proprietary codebase and provided a structured approach for code organization.
- SDK Development Strategy: Proposed building a wrapper SDK around Microsoft PromptFlow, focusing on execution and semantic interface differentiation.
- AI Function Registry: Planned the creation of a dynamic AI function registry in Python, leveraging prompt specifications for seamless integration.
- AI Blocks as Python Functions: Outlined a guide for creating reusable AI functionalities in Python, detailing necessary components and architecture.
- AI Development Architecture: Defined a strategic plan for a lightweight development layer on PromptFlow, including components and implementation roadmap.
- Callable Prompt Blocks Analysis: Reflected on the design and performance tradeoffs of implementing callable prompt blocks as Python functions.
Achievements
- Established a comprehensive legal and strategic framework for MIT-licensed code reuse.
- Developed a clear plan for SDK and AI function registry development.
Pending Tasks
- Further exploration of innovative features for the SDK to enhance user experience.
- Detailed design and prototyping of the AI function registry.