Show HN: A visual debugger for AI-generated code (samurai-agent.tech)

Samurai Agent is a new visual debugger designed for AI-generated JavaScript and TypeScript that converts opaque code into an interactive execution graph. Instead of just reading code, you "watch it run": the tool builds a dynamic flow graph showing every call and variable, lets you click any node to open the corresponding line in your editor, and aims to identify the true root cause before you start guessing. Its analysis engine is described as model-driven and specialized for JS/TS, claiming higher root-cause accuracy than generic linters. The significance is practical and immediate for AI/ML and engineering teams relying on code generated by LLMs: it addresses the common problem of brittle, hard-to-trace outputs by combining runtime/static tracing with a human-like analysis layer and a human-in-the-loop feedback loop. Each rated analysis adapts the underlying model to your codebase, so accuracy should improve over time. Key technical implications include focused language specialization (JS/TS), dynamic visualization of call/variable flows, editor integration for rapid navigation, and model-based root-cause reasoning—features that could cut debugging time, improve trust in generated code, and change how teams validate AI-produced software.