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§ Private Profile · San Francisco, CA, USA
Builds development infrastructure and tools for AI software engineers, focused on streamlining AI application development, deployment, and scaling.
Gait has raised $500K across 1 funding round.
Key people at Gait.
Gait was founded in 2024 by Kyle Li (Founder) and Alex Hsia (Founder).
Gait has raised $500K in total across 1 funding round.
Gait is a San Francisco, California-based technology company that builds specialized development infrastructure and foundational tooling tailored specifically for artificial intelligence software engineers. The organization focuses on creating technical tools designed to streamline the complex processes of developing, deploying, and scaling custom artificial intelligence applications across various computing environments. By simplifying intricate development workflows and eliminating traditional operational bottlenecks, the enterprise targets a primary market of software developers and engineering teams operating within the rapidly expanding machine learning sector. Operating with a current headcount of exactly two employees, the early-stage firm is actively working to establish its core product offerings and technical architecture within the broader developer tools landscape. Gait was officially established in the year 2024 by an undisclosed founding team to address the growing technical requirements of modern artificial intelligence software development.
Gait has raised $500K across 1 funding round. Most recently, it raised $500K Seed in December 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2024 | $500K Seed | — | — | Announced |
Gait was founded in 2024 by Kyle Li (Founder) and Alex Hsia (Founder).
Gait has raised $500K in total across 1 funding round.
Key people at Gait.
Gait is a startup building developer infrastructure specifically designed for AI software engineers. It offers an open-source collaboration layer that integrates with popular code editors like Cursor and VS Code, enabling developers to view the prompts behind AI-generated code, share AI-codegen conversations, and analyze AI usage within teams. This approach addresses a key gap in AI coding tools, which typically focus on individual code generation rather than team collaboration and code comprehension. Gait’s product enhances developer productivity by improving transparency, collaboration, and oversight in AI-assisted software development workflows[1][6][7].
Founded by Alex Hsia and Kyle Li, Gait targets software development teams who use AI coding assistants but struggle with understanding, reviewing, and editing AI-generated code collaboratively. By providing prompt visibility, conversation continuity, and analytics, Gait solves the problem of fragmented AI code generation and lack of context, enabling teams to accelerate development velocity and maintain code quality[1][6].
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Gait was founded in 2024 in San Francisco by Alex Hsia and Kyle Li. The idea emerged from the founders’ recognition that existing AI coding tools were designed for individual use and did not support team collaboration or code lifecycle management effectively. They observed that while AI could generate code quickly, the real bottleneck was in understanding and editing that code within a team context. Early traction included building a small dedicated team and launching an open-source extension that integrates with popular development environments, gaining attention for its unique focus on collaboration and observability in AI codegen[1][6][7].
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Gait rides the wave of increasing AI adoption in software engineering, addressing a critical pain point: the gap between AI-generated code and human comprehension within teams. As AI coding assistants become ubiquitous, the need for tools that support collaboration, transparency, and governance grows. Gait’s timing is crucial because many organizations are moving from AI experimentation to production-scale AI-assisted development, where team coordination and code quality are paramount. By redefining the code repository to include AI prompts and context, Gait influences how development teams integrate AI into their workflows, potentially setting new standards for AI-assisted software engineering[1][6].
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Looking ahead, Gait is poised to expand its platform capabilities to integrate deeper with project management tools, design documents, and API specifications, creating a richer context for AI code editing. Trends such as increased enterprise AI adoption, demand for explainable AI, and collaborative AI workflows will shape Gait’s evolution. Its influence may grow as it helps teams transition from isolated AI coding experiments to fully integrated AI-driven development environments, improving productivity and code quality at scale. Gait’s vision of seamless human-AI collaboration in software engineering positions it as a key player in the future of developer infrastructure[1][6].
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This overview highlights Gait’s unique positioning as a developer infrastructure startup that enhances AI-assisted software engineering by focusing on collaboration, transparency, and lifecycle management.
