Gait adds an AI‑native version‑control layer that automatically records AI code‑generation chats and stores them in a .gait folder alongside the generated code. This creates an "AI blame" view linking prompts to code lines, enables prompt replay, model comparison, and provides analytics on AI usage and productivity for teams using tools like GitHub Copilot, VS Code, and Cursor.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developers using AI code generation tools often lose the connection between the prompts that produced code and the resulting implementation, making code reviews, debugging, and team collaboration difficult. This lack of traceability also hampers measurement of AI’s impact on productivity and raises concerns about intellectual property and code provenance.
Solution
Gait provides an AI-native version‑control layer that automatically records AI‑codegen conversations and stores them alongside the generated code in a dedicated .gait folder. By linking each snippet to its originating prompt and model, developers can replay the exact context during code review, compare model outputs, and understand why a change was made. The platform aggregates these records to deliver analytics on AI usage, codebase impact, and team productivity. Gait integrates with VS Code, Cursor, GitHub Copilot and other AI assistants, allowing teams to commit the .gait folder to their repository and share the full AI development history with collaborators. Optional Pro features add advanced prompt replay, model comparison, and IP protection tools.
Target Audience
Gait is aimed at software development teams and individual engineers who regularly use AI code generation tools and need traceability, analytics, and collaborative context for their codebases.
Features
- Automatic capture of AI‑codegen chat logs into a version‑controlled .gait folder
- “AI Blame” view that links prompts and conversations directly to generated code lines
- Codegen analytics dashboard showing AI contribution metrics, usage trends, and productivity impact
- Team collaboration support that syncs AI context through standard Git workflows
- Prompt replay and model comparison tools for detailed review and debugging
- Copyright and intellectual property protection features in the Pro tier
- Available as extensions for VS Code and Cursor, compatible with GitHub Copilot and other assistants