SpecStory

Author Intent: Save, Search, and Leverage Your AI Prompts.

Freemium

Description

SpecStory is designed to address the challenge of managing and preserving the valuable 'intent' embedded in AI prompts and chat histories during software development. For individual developers, it offers a way to prevent prompts and the crucial context they hold from slipping away by providing features like autosaving. This ensures that the foundation for building great software with AI remains intact across every session and project, allowing users to save, share, and ship their work with clarity.

For teams, SpecStory tackles the difficulties arising when AI-generated code becomes separated from its originating prompts. It integrates prompts and AI-driven changes directly with Git, aiming to enhance human review processes by providing necessary context. This approach also helps teams navigate the learning curve of agent-first coding by offering clear prompt examples alongside code, fostering better understanding and collaboration.

Key Features

Autosave Prompts: Automatically saves AI chat history and prompts to prevent loss of context during AI-assisted software development.
Intent Management: Enables users to save, search, and share their authored 'intent' (prompts and AI chat history) across sessions and projects.
Cursor Extension: Provides direct integration with the Cursor code editor for seamless access and management of prompts.
Copilot Extension: Offers integration with GitHub Copilot, enhancing AI coding workflows by connecting prompts to code.
Team Git Integration: Connects prompts and AI-driven code changes directly with Git, improving code review clarity and team learning for agent-first coding.

Use Cases

Preserving context in AI-assisted coding sessions.
Sharing effective AI prompts and chat histories within development teams.
Improving the review process for AI-generated code by linking it to original prompts.
Facilitating team learning and adoption of new agent-first coding techniques.
Documenting the 'why' behind AI-driven code changes for better maintainability.