I'm a creator driven by systems-level thinking, exploring the intersection of operating systems, low-level architecture, AI system integration, and user experience design.

My primary focus lies in two technical directions: ZenuX and DragonOS:

• ZenuX: Focuses on evolvable kernel architecture, scheduling mechanisms, abstraction design, and compatibility
• DragonOS: Explores human-computer interaction, UI semantics, and long-term maintainability of operating systems

I maintain a sustained interest in "how technical debt emerges and how it can be systematically resolved." The UI legacy burden left by Windows, macOS's relatively disciplined evolution path, and the engineering and governance logic behind them are subjects I repeatedly study and analyze.

• Evolvable System Architecture
  Designing system architectures that don't require complete rewrites, pursuing long-term maintainability and smooth evolution

• Semantic Layer Design
  Exploring the separation of UI/UX Semantic Layer → Compatibility Layer → Execution Layer for better abstraction and decoupling

• AI-Assisted Operating Systems
  Integrating AI at the operating system level for:

  • Semantic translation and natural interaction
  • Cross-version compatibility migration and adaptation
  • Intelligent developer toolchain assistance

• System Security & Protocol Evolution
  Focusing on offensive/defensive thinking, system security, and protocol evolution under real-world constraints

I prefer architectural-level solutions rather than merely patching individual issues.

Self-developed operating system kernel, focusing on:

• Evolvable kernel architecture design
• Hybrid paradigm of microkernel and macrokernel
• Sandbox security and process isolation
• Ecosystem compatibility and migration paths

📋 RFC Documentation - Kernel architecture, capability models, scheduling/memory/IO primitives, ABI/API drafts, and design trade-offs

Future-oriented operating system experiment:

• Abstraction and implementation of UI semantic layers
• Innovative thinking on human-computer interaction models
• Engineering practices for long-term maintainability

Consciousness-like general intelligence system:

• Deep OS-level AI integration
• Semantic translation from natural language to system calls
• Intelligent developer assistance toolchain

📋 RFC Documentation - Model specifications, evaluation protocols, inference APIs, safety mechanisms, and research directions

• GeneMutator - Gene mutation simulator

Beyond programming, I engage in video production and photography.

My areas of focus include:

• Visual Storytelling - How to tell stories through visual language
• Rhythm & Editing - The delicate balance between information density and viewing experience
• Color Management - Making technology serve emotional expression
• Media Pipelines - Complete workflow optimization from shooting to post-production

This reflects a core principle I emphasize in system design:

Tools should not only work, but work well long-term and be pleasant to use.

Long-termism: Not chasing short-term trends, but caring about maintainability in ten years
Respect Complexity: Acknowledge necessary complexity, but reject unnecessary complications
Elegant Abstraction: Good abstraction simplifies systems, not obscures them
Critical Thinking: Respect authority, question conclusions
Engineering Aesthetics: Elegant code is readable, maintainable, and evolvable