Scalable Backend Page Production with Standardization and No‑Code Solutions
By abstracting 86 % of form‑list‑detail scenarios into standardized scene assets and linking them with unified data models, the platform enables no‑code generation of backend pages, cutting development effort fivefold versus source code, boosting overall productivity by 68.6 % while preserving product quality and consistency.
With the rapid growth of e‑commerce, B‑side backend demand has surged, making it essential to ensure product standards, quality, and consistent user experience while improving development efficiency.
Background: Existing development relies heavily on ProCode components and low‑code event handling, leading to high code bottlenecks and inefficient page production.
Problem & Strategy: The goal is to produce backend pages at scale, guarantee product standards, and boost development efficiency. Two strategies are proposed: (1) a scene‑centric approach that abstracts common form‑list‑detail scenarios (86% of cases) into standardized scene assets; (2) a pipeline‑style production model that treats each role’s work as a stage in a global optimal pipeline.
Overall Solution: Introduce a collaborative model where product, UI, and API are all driven by scene definitions. This includes scene standardization, data standardization, and a no‑code page generation engine.
Scene Standardization: Define scene assets (large‑scale templates) and scene controls (components) with business logic and API contracts. Establish a scene‑norm group, create a scene‑deposit mechanism, and build a scene ecosystem covering 25 standard scenes with 96% business coverage.
Data Standardization: Build three model layers—gateway model, scene model, and business model—to generate API schemas automatically from scene configurations, enabling consistent data contracts.
No‑Code Page Production: Use the standardized scene assets and data models to generate complete functional pages without writing code, reducing hand‑off and improving quality. The process includes UI/interaction/data configuration, API binding, code scaffolding, and CDN deployment.
Efficiency Measurement: Propose an Orca‑Efficiency framework that measures development effort by normalizing complexity and total time, covering source code, low‑code, and no‑code modes. It includes a refined complexity model, continuous time measurement, and a standard page baseline.
Results: The platform supports 200+ projects, covering 79% of new requirements across multiple business domains. No‑code mode improves efficiency 5× over source code and 1× over low‑code, with an overall productivity gain of 68.6% while maintaining product experience and quality.
Conclusion: A scene‑driven, no‑code platform dramatically accelerates backend page production, standardizes development assets, and provides a quantifiable efficiency measurement across development modes.
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