Gnu JF New Jiefanghao Platform
Ultimate software engineering resource scheduling, ultimate AI Coding.
Ultimate software engineering resource scheduling, ultimate AI Coding.
Gnu JF is a human-machine collaborative scheduling and productivity empowerment platform with the intelligent agent 'Gnu' as the hub, driving full business processes through AI digital employees, achieving penetrating management from 'problem discovery' to 'action closed loop'. Based on 30 years of management experience accumulation at Chinasoft International, Gnu JF builds a practical AI digital employee role matrix, having run closed loops in real business scenarios, continuously self-evolving through the knowledge flywheel model. Adhering to the philosophy of 'modeling is the reason for my existence', reshaping software production and employment models.
Build a full-stack AI capability system to drive enterprise digital and intelligent transformation
Achieving automatic requirement decomposition, intelligent matching, pre-release forward matching, and multi-role collaborative scheduling, building a closed loop of 'requirement → scheduling → execution'.
Building AI digital employees covering recruitment, interview, performance, PMO, operations, and other scenarios, having run closed loops in real business scenarios, continuously self-evolving through the knowledge flywheel model.
Based on profit and loss accounting penetrating to individual soldiers and projects, AI Agent automatically identifies loss-making projects and low-efficiency personnel, triggering management work orders, pushing managers at all levels to analyze item by item, clarify responsible persons and rectification deadlines, achieving precise decision-making from 'problem discovery' to 'action closed loop'.
Achieving the leap from manual negotiation to intelligent matching — automatic filing, precise pairing, and full-process AI interview automation. The pre-release forward matching mechanism allows AI to automatically match the demand pool before release, reducing idle time by 10%, improving skill matching by 20%, and increasing re-employment rate by 10%.
Adopting a C/S architecture + multi-Frontend plug-and-play design, supporting seamless switching across four terminals: TUI, Web, IM, and IDE, achieving the capability leap from 'mastering AI Coding' to 'mastering AI'.
Sensitive information is automatically desensitized, code and conversation content support local storage without cloud upload; in private deployment scenarios, data flows entirely within the enterprise network; three-platform native OS-level sandboxes (Landlock · Seatbelt · Restricted Token), zero additional dependencies.
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Real projects with verifiable results