Developed AI Flow Debugging and Tracing Tools

📅 2025-04-16 — Session: Developed AI Flow Debugging and Tracing Tools

🕒 14:30–15:50
🏷️ Labels: Ai Flows, Debugging, Tracing, React, Ux Design
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to explore and design tools for debugging and tracing in AI flow environments, focusing on enhancing developer experience and traceability.

Key Activities

• Reflected on Prompt Flow’s observability features and its integration with OpenTelemetry.
• Planned a developer playground UI for AI flows, emphasizing debugging and tracing features.
• Designed a portable and modular Trace JSON schema for improved traceability and UX.
• Outlined the foundational design for an AI execution runtime with traceable semantics.
• Developed UX design principles for effective trace inspection in development tools.
• Curated a glossary of UX and debugging terms for flow tools.
• Explored the concept of ‘grok’ in tech culture, emphasizing intuitive understanding.
• Provided a guide to building a debug playground UI using React, focusing on state management and UI updates.
• Explained the RunContext.tsx file for managing global state in React applications.

Achievements

• Established a comprehensive framework for developing AI flow debugging and tracing tools.
• Created a structured plan for a developer playground UI and Trace JSON design.
• Enhanced understanding of UX principles for trace inspection and debugging.

Pending Tasks

• Implement the designed Trace JSON schema in existing tools.
• Develop the AI execution runtime with traceable semantics.
• Complete the React-based debug playground UI.