E3 Framework
A proven standard code structure, validated through nearly a decade of enterprise projects
Proven Architecture
Built on code structures verified through years of enterprise projects.
Field-Tested Stability
Validated in real production for reliability and performance.
Unified Standards
Consistent in developer experience, security, and maintenance.
Foundation of ThingsFlow
Auto-generated code is deployment-ready by default.
Why E3-Trained AI Performs Better
The Problem with Typical AI-Generated Code
Many generative AI development tools suffer from hallucination-producing code that looks plausible but fails in reality.
These systems often misinterpret technical structures or project context, suggesting nonexistent functions, unsafe exception handling, or syntax errors that violate security standards.
Learning from Real, Proven Code
ThingsFlow takes a different approach.
Instead of training solely on general examples, it learns from E3 Framework, a codebase built on real enterprise projects.
E3 embodies proven standards of security, quality, maintainability, and collaboration, ensuring AI recommendations align with production-grade practices.
Code Intelligence Built on Verified Rules
The Code Intelligence feature analyzes and suggests improvements based on E3’s verified design principles—offering reliable, context-aware feedback rather than guesswork.
From Speed to Trust
In AI development, what matters most isn’t just what AI can do, but what standards it follows.
Powered by E3, ThingsFlow ensures every automated process maintains both speed and trustworthiness, delivering results ready for real-world deployment.
Same Question, Different Result
The Power of Learned Data
Its capabilities are built on the E3 Framework, a structure proven through countless large-scale enterprise projects, ensuring every result is both reliable and production-ready.
Core Features Included
in the E3 Framework
Role-based source structure generation
(Service, Mapper, etc.)
Access control by button, screen,
or permission group
API integration setup
and call history tracking
Batch scheduler configuration
and execution monitoring
VS Code plugin
based development tool integration
Built-in operational components
such as common utilities,
exception handling, and logging