Beyond Entity

Precise Design,
Consistent Implementation

Access data and process design Git synchronized with your code branches and PRs.

Intro: Petronas Towers

A Masterpiece of Precise Design and Execution

Petronas Towers
  • Designed by César Pelli, built by separate construction firms.
  • Yet, the Skybridge at floors 41 and 42 connected perfectly.
    • → Precise design and faithful implementation were key to success.

Software development is the same.
The only difference is that design and implementation drift apart easily.

The Problem

Recurring issues in software development:

  • Requirements and tech changes make design docs outdated quickly.
  • Design documents do not match the actual code (Design–Implementation Drift).
  • ERDs, API specs, and ETL docs are scattered across different versions.
  • The only way to know the current state: Analyze the code directly.

→ There is a design, but it is not a 'living design'.

Why This Matters Now

In the age of AI code generation, design reliability is critical.

  • AI generates code based on the input design.
  • If the design is wrong, the AI's code will be wrong.
  • Quality factors like data structures and I/O definitions are concentrated in the design.

→ We need a new way to connect design and implementation.

Beyond Entity's Approach

Make design an 'executable asset',
not just a document.

1. Unified Definition via ERD Style

Model everything in one platform using the same method:

  • RDB, Wide Column Storage, NoSQL
  • Key-Value Store
  • Log File, Data File

→ Unify heterogeneous data into a single structural language.

2. Define All Data Movement as Process Diagrams

  • ELT / ETL / Data Pipeline
  • API
  • Batch Job
  • Internal Processor

→ Visually represent how data moves, transforms, and is delivered.

3. Automated Data Flow Map Visualization

  • Entity ↔ Processor ↔ Entity connection
  • Automatic detection of I/O dependencies
  • Impact analysis capabilities

→ The entire organization understands data flow at a glance.

4. Auto-generate Markdown/JSON for AI Code Gen

AI automatically outputs all necessary information:

  • Input/Output Schema
  • Data transformation and exception handling rules
  • Entity mapping and data structure definitions

→ A structure to 'control' AI code generation quality via design.

5. Git-based Design–Implementation Version Mapping

Design linked directly to Git Branch/Commit, not file versions:

  • Track design by release
  • Automatic management of design change history per sprint
  • Eliminate Code-Design Drift

→ Design undergoes the same version control process as code.

Product Value

  • Eliminate outdated design documents
  • Unify data & process structures
  • Stabilize AI code generation quality
  • Reduce change management costs
  • Strengthen collaboration between Dev, QA, DevOps, and Data teams

Value Proposition

  • Design is no longer just a "document artifact"
  • Design is an "executable asset governing production quality"

Providing a new Engineering-based development culture
that fundamentally elevates development and operations quality.

Conclusion

“Software development is not Art, it is Engineering.”

Like the Petronas Towers Skybridge,
precise design and faithful implementation are the essence of success.

→ A new standard to elevate quality across the organization.

Beyond Entity

Precise Design.
Consistent Implementation.

The New Standard for Data-Centric Engineering.

Beyond Entity Inc. | sales@beyondentity.com

#2291, 20F, 149, Sejong-daero, Jongno-gu, Seoul, Republic of Korea, 03186

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