Gait
Code Faster with AI, Without All the Guesswork
Description
Gait is designed as a collaboration tool to enhance the process of working with AI-generated code. It functions by storing AI prompts, the surrounding context, and the resulting code snippets together. This integration allows development teams to gain a clearer understanding of how specific pieces of code were generated by AI tools like Github Copilot.
By capturing and saving AI-codegen chats automatically into a dedicated file within the project repository, Gait facilitates better transparency. This context can be shared across the team through version control systems. This shared context aids during code reviews or when modifications are needed, enabling developers to reference the original prompts and conversations that led to the code's creation. The tool also provides analytics to measure the impact of AI on the codebase and overall productivity.
Key Features
- AI Blame: Link prompts and conversations directly to generated code.
- Codegen Analytics: Measure the impact of AI on your codebase and productivity.
- Team Collaboration: Share AI-assisted development context with your team through version control.
- Conversation Capture: Automatically saves AI-codegen chats into a file in the .gait folder.
- IDE Integration: Available as an extension for VSCode and Cursor.
Use Cases
- Improving clarity during code reviews of AI-generated code.
- Enhancing team collaboration on projects utilizing AI code generation.
- Tracking the origin and rationale behind AI-generated code snippets.
- Analyzing the efficiency and impact of AI coding assistants on development workflows.
- Simplifying the process of editing and building upon AI-generated code.
- Onboarding new team members to projects with significant AI code contributions.
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