SpecStory Project Description

What is the project about?

SpecStory is a Visual Studio Code extension specifically designed for the Cursor IDE. It acts as a "memory upgrade" for Cursor's AI assistant, automatically capturing and saving all chat and composer sessions.

What problem does it solve?

It solves the problem of losing valuable context and insights from AI coding interactions within Cursor. By saving these sessions, users can easily revisit, search, and learn from their past AI-assisted coding journeys.

What are the features of the project?

• Automatic saving of every Cursor chat and composer session.
• Local storage of sessions within the project's .specstory directory.
• Easy search and retrieval of past AI interactions.

What are the technologies used in the project?

• Visual Studio Code Extension API (for Cursor IDE integration).
• VSIX file format for extension packaging.

What are the benefits of the project?

• Enhanced Learning: Users can review past interactions to understand how they solved problems with the AI's help.
• Improved Productivity: Quickly find and reuse previous solutions or code snippets generated during AI sessions.
• Better Context Retention: Maintain a complete history of AI interactions, preventing loss of valuable information.
• Knowledge Base Creation: The saved sessions can act as a personal knowledge base of AI-assisted coding solutions.

What are the use cases of the project?

• Learning from Past Interactions: Reviewing how a specific problem was solved with AI assistance.
• Code Snippet Retrieval: Finding a previously generated code snippet from an AI chat.
• Debugging Assistance: Examining past AI interactions to understand the reasoning behind code changes.
• Knowledge Sharing: (Potentially) Sharing saved sessions with team members for collaborative learning.
• Project Documentation: Using the saved sessions as a form of documentation for the AI's contributions to the project.