AI Native Application Development
We provide end-to-end AI-native development services from scenario incubation to production deployment, from organizational transformation to capability leap, enabling enterprises to truly enter the AI-native era.
We provide end-to-end AI-native development services from scenario incubation to production deployment, from organizational transformation to capability leap, enabling enterprises to truly enter the AI-native era.
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We provide full-lifecycle AI landing services from scenario insight to value realization, enabling AI to truly integrate into core business operations. Leveraging three decades of enterprise service experience and Huawei core strategic partnership, Chinasoft International deploys the "AI BootCamp War Room" for rapid prototyping plus "FDE Professional Teams" for end-to-end delivery, offering integrated services spanning front-end consulting, joint co-creation, and on-site deployment.
Deliver an end-to-end demonstrable MVP within 5-7 days, from business pain point identification to working prototype, bypassing the lengthy traditional process of project approval, feasibility study, and delivery. This allows enterprises to see an AI prototype and validate ROI within one week, transforming enterprise clients from passive software buyers into active builders.
Led by the project owner, with the Echo team conducting deep business insight and the Delta team delivering on-site development, the three roles collaborate to form a closed-loop chain from strategy to requirements to technology. By placing services directly at the client's business site and deeply embedding into business processes and organizational collaboration mechanisms, we bridge the gap between AI platform products and front-end value delivery.
Using allmeta Ecore as the data foundation to integrate heterogeneous data sources, the Ontology layer automatically transforms industry knowledge and business rules into semantic models that can be understood and executed by the system, while the Agentic layer orchestrates and autonomously executes intelligent agent workflows. This realizes the automated mapping from data to knowledge to intelligent decision-making, moving AI from "able to answer" to "able to execute," and from intelligent Q&A to intelligent operations.
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As enterprise applications transition from the CPU era to the GPU era, everyone can become a developer in the AI age. SmartCode is Chinasoft International's enterprise AI intelligent programming platform, positioned as a "generative tool for agile enterprise applications." It has been continuously iterated and refined by tens of thousands of the company's software engineers in real enterprise scenarios, ensuring that 1% of coding is done by humans and 99% is driven by AI.
Supports four access modes: TUI command line, Web browser, IM instant messaging, and IDE plugins. The same session can switch seamlessly between any front end, and the Append-Only Event Log ensures state is never lost. Developers can use SmartCode continuously whether in office or mobile scenarios, without worrying about state loss after interruption, significantly lowering the barrier to AI coding.
AI Agents cover three categories: development efficiency, talent development, and governance assessment. From conversation parsing, code retention rate evaluation, to weakness diagnosis, personalized recommendations, comprehensive rating, and risk auditing, a complete closed loop of "use → evaluate → improve" is formed. This allows developers to diagnose weaknesses and receive learning recommendations while coding, evolving unconsciously from "can use AI coding" to "master AI," achieving a leap in capability through integrated training and production.
The dual-state-machine scheduling framework uses 6×4 orthogonal state combinations to enable compile-time legality verification of agent behavior, while five-tier RiskLevel concurrency control ensures high-risk operations execute serially. The security system covers automatic sensitive information desensitization, code-in-domain assurance, OS-level sandbox isolation, and RBAC permission control, enabling stable, secure, and compliant operation in large-scale enterprise development scenarios, ensuring zero leakage risk for core code assets.
The Smart Code Hub community accumulates reusable Skills and scenario templates, continuously evolving through the "use → contribute → optimize → reuse" knowledge flywheel model, while the Golden Seed Program cultivates core contributors to AI coding within the organization. Best practices from individual developers are transformed into organizational reusable assets, avoiding repeated reinvention and ensuring development experience grows with use and remains with the organization despite personnel changes.
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Gnu JF is a human-machine collaborative scheduling and productivity empowerment platform centered on the "Wildebeest" intelligent agent. It drives the entire business process through AI digital employees, achieving penetrating management from "problem discovery" to "action closed loop." Based on 30 years of management experience from Chinasoft International, it builds a practical AI digital employee role matrix that has already run through closed loops in real business scenarios, continuously evolving through the knowledge flywheel model. Upholding the philosophy of "I think, therefore I model," it reshapes software production and employment models.
Centered on the Wildebeest intelligent agent, a five-step closed loop of "demand auto-decomposition → intelligent matching → pre-project pre-matching → AI interview → multi-role collaboration" is realized, transitioning from manual negotiation to human-machine collaboration. Placement cycles are compressed from 3 weeks to 3 days, and interview efficiency is improved by more than 5 times.
Build an AI digital employee corps covering full scenarios such as recruitment, interviewing, fulfillment, PMO, operations, and technical customer service. With a "job definition → employee instantiation" dual-layer architecture, digital employees upgrade from customized development to standardized assembly, enabling one-click generation, batch replication, and on-demand deployment, covering 5 major business domains, 11 roles, and 39 Agents.
Achieve daily penetration at the individual, project, and customer levels. Through digital employee collaboration, complete problem classification and grading, automatic work order issuance, rolling tracking, departmental special-topic meeting closed loops, and experience feedback. Based on daily individual/project profit and loss reports, AI automatically identifies loss-making projects and low-efficiency personnel, triggering management work orders and closed-loop rectification, making operational profit and loss visible in real time.
Based on the SmartCode enterprise-level engineering platform, build the FDE Delta talent ladder (natural experts, improvable talents, and trainees), and through Token allocation, hands-on training, empowerment from 12 diagnostic Agents, and quarterly certification and grading, scale the output of AI-native talent capable of mastering AI. Automatic sensitive information desensitization, OS-level sandbox isolation, and data-in-domain assurance ensure enterprise-level security.