Boost Architecture Efficiency: Stability, Performance, and Clean Code Strategies

In software development, architecture design is a crucial action to ensure systems run efficiently and stably. Whether the architecture is simple or complex, or evolves from complexity back to simplicity, both startups and large enterprises pursue architectural efficiency as a core goal of technical teams.

“All things contain contradictory aspects that depend on and struggle with each other, determining the life of everything and driving development. Nothing exists without contradiction; without contradiction there is no world.”

Architecture also has its own contradictions: normal operation versus frequent failures, fast versus slow functionality, and orderly engineering versus chaos. These three pairs of contradictions constitute the core of architectural efficiency.

If a system is unstable and fails frequently, developers become fire‑fighters and efficiency is impossible. If performance is low—e.g., a page takes three seconds to respond on a stable network—the architecture cannot be considered efficient. If code becomes a tangled mess with large monolithic methods or numerous if‑statements, adding a feature becomes time‑consuming, again undermining efficiency.

This article focuses on three main aspects—stability, performance, and code—to explore how to improve architectural efficiency.

Software engineering has long discussed high availability, scalability, concurrency, micro‑services, sharding, caching, etc. This article, however, concentrates on the micro‑level of architectural contradictions, i.e., engineering structure and code, referencing prior research.

Stability: The Foundation and Guardian of Architecture

As business functions, user numbers, and team size grow, without rules and standards the system gradually becomes fragmented. To maintain stability, we need a rule set often called orthogonal decomposition or orthogonal design.

Architecture design is essentially a process of business orthogonal decomposition.

Through orthogonal decomposition we can split a complex business system into independent yet related modules or components, achieving high cohesion and loose coupling, which improves scalability, maintainability, and reusability.

The key of orthogonal decomposition is eliminating duplication, separating concerns, and managing dependencies, allowing precise control over business logic and producing a series of small, clear modules that can be combined into a complex, functional software system.

Thus, orthogonal decomposition is the foundational method for ensuring architectural stability.

Performance: The Dual Test of Speed and Efficiency

To be fast, many developers adopt “tactical design,” believing it makes development “indeed fast.”

Most programmers use a tactical programming mindset, focusing on making a feature work quickly—such as a new function or bug fix—without considering overall system design. Tactical design often leads to common problems.

For example, a newcomer unfamiliar with the system may add a flag and sprinkle if‑statements throughout the code to avoid redesigning the system for a new problem space.

In a short‑term view this enables rapid feature delivery, but senior members soon discover hidden issues: increased code complexity, reduced readability and maintainability, and potential future bugs and performance degradation. This violates best practices; the proper approach is to optimize system design rather than add temporary patches.

Such “tactical tornado” developers are praised as heroes for delivering quickly, yet over time their code becomes hard to maintain and extend, causing the first iteration to be fast, the second slower, and the third even slower.

Code: The Dual Pursuit of Simplicity and Elegance

Elegant, concise code should be considered from the whole project down to methods. A typical application architecture consists of four layers: API, Biz, Domain, and DAO.

The API layer provides services to clients such as apps, web front‑ends, or external ISVs. The Biz layer (business service layer) orchestrates the main workflow of a business scenario, assembling multiple atomic interfaces. The Domain layer (domain service layer) follows object‑oriented principles, housing “rich objects” like order or freight domains. The DAO layer handles persistence.

When responsibilities are clearly defined and code is placed accordingly, the structure aligns with clean‑code principles. However, as requirements grow, the originally tidy structure can degrade.

Two common phenomena appear: the Biz layer becomes bloated while the Domain layer becomes thin, and mesh‑style calls emerge, leading to deep call chains that erode the Biz layer’s role as a business orchestrator.

The resulting issues are:

The Biz layer becomes “fat,” often splitting into a narrow, scenario‑specific Biz sub‑layer and a generic reusable Biz sub‑layer.

The Service (Domain) layer becomes “thin,” losing its distinct role and resembling the DAO layer.

Variations in granularity cause some service layers to shrink while others expand.

Mesh calls create deep, tangled call trees, diminishing the Biz layer’s orchestration function.

Clearly, the current structure deviates from the original goals of simplicity and elegance, and no longer contributes to efficiency.

In summary, improving architectural efficiency requires continuous optimization across stability, performance, and code quality—through high‑availability design, performance tuning, modularization and decoupling, and strict code standards—to build a system that is stable, fast, maintainable, and extensible.

“In the development of complex things, many contradictions exist, among which there is a principal contradiction that determines and influences the existence and development of other contradictions.”

Architecture development itself fights entropy; the contradictions of stability, performance, and code revolve around this principal contradiction. Beyond technical improvements, we must also foster team collaboration, knowledge sharing, and a culture of continuous improvement to stay competitive in a rapidly changing market.