Making AI-Generated Code Safer

Jumbi was born from a realization: the rapid adoption of AI coding assistants like ChatGPT, GitHub Copilot, and Claude was creating a new category of software risk. Developers were building faster than ever, but the code being generated carried patterns and vulnerabilities that traditional tools weren't designed to catch.

We saw teams shipping “vibe-coded” MVPs to production - applications built primarily by accepting AI suggestions without thorough review. The result: hallucinated API calls, hardcoded secrets, missing error boundaries, and security shortcuts that compounded into costly technical debt.

Founded in 2025, Jishu Labs set out to build the risk assessment layer that the AI coding era demands. Jumbi analyzes code across four critical dimensions - security, code quality, dependencies, and test coverage - providing teams with a clear, quantified understanding of their risk exposure before code reaches production.

We believe AI-assisted development is a net positive for the industry. It democratizes software creation, accelerates prototyping, and frees developers to focus on architecture and user experience rather than boilerplate.

But velocity without visibility is dangerous. Our mission is to give every development team the confidence to ship AI-assisted code to production by providing clear, actionable risk intelligence.

We are not here to slow you down. We are here to ensure that when you ship fast, you ship safely. Jumbi is the quality gate between vibe coding and production readiness.