Сonnects to live JVMs via JDWP protocol,
enabling LLM agents to autonomously debug Java applications — attach to
a running process, pause threads, set breakpoints (including conditional),
inspect stacks with auto-resolved object fields, evaluate methods, set
variable values, and diagnose issues like deadlocks and hung queries.
Bridges AI coding agents with the browser to provide visual debugging, real-time error capture, screenshot capabilities, DOM inspection, and interactive wireframing through a reverse proxy with injected developer tools.
A Model Context Protocol server that connects AI agents to live Java processes via Alibaba Arthas, enabling real-time diagnostics, debugging, and performance analysis without code changes.
Provides live, graph-verified code intelligence for AI agents, including call graphs, dependency awareness, and safety gates on edits to prevent breaking changes.
Bridges local development environments with the Engineering Intelligence Platform (EIP), enabling AI coding agents to manage SSOT, generate implementation/test/security plans, and synchronize architectural knowledge.
