Gait Introduction
Gait is a collaboration tool that integrates AI-assisted code generation with version control, enabling teams to track, understand, and share AI-generated code context efficiently.
View MoreWhat is Gait
Gait is an innovative development tool that bridges the gap between AI code generation and team collaboration. It serves as a specialized version control system that captures and stores AI prompts, conversations, and generated code together, making it easier for developers to understand and edit AI-assisted code. As a VSCode and Cursor extension, Gait brings transparency to AI-powered development by maintaining a clear record of how code was created and modified through AI interactions.
How does Gait work?
Gait operates by automatically capturing AI codegen conversations and storing them in a .gait folder within the project repository. When developers generate code using AI, Gait records the prompts, context, and resulting code, creating a searchable history similar to git blame for AI-generated code. Teams can commit the .gait folder to their repository, allowing other team members to access the full context of AI-assisted development. The tool also provides analytics features that measure AI's impact on the codebase and track team productivity. During code review or subsequent edits, developers can easily reference the original prompts and conversations that led to specific code implementations.
Benefits of Gait
Using Gait brings multiple advantages to development teams working with AI-generated code. It enhances code understanding by providing complete context for AI-generated solutions, making code review and maintenance more efficient. The tool improves team collaboration by sharing AI development context through version control, ensuring all team members can understand and build upon AI-assisted work. Additionally, Gait offers valuable analytics that help teams measure and optimize their AI-assisted development processes, while also providing IP protection and proper documentation of AI-generated code. This comprehensive approach helps teams code faster and more confidently with AI, eliminating guesswork in collaborative development environments.
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