Abstract #
This study explores the efficiency gains achievable when using the Wizzdi Cloud no-code platform compared to traditional backend development. Wizzdi Cloud uniquely combines the flexibility of standard development tools with the speed of no-code, promising to accelerate developer workflows significantly without imposing proprietary dependencies. Through a controlled experiment involving professional developers, the study demonstrates substantial time savings and an accessible learning curve, with completion times reduced up to 30 times compared to conventional development. Follow-up research will further investigate the impact of hybrid workflows (combining Wizzdi Cloud and traditional development) and evaluate Wizzdi Cloud’s performance on more complex projects involving additional aspects beyond domain modeling and CRUD operations.
Introduction #
While most no-code platforms offer efficiency improvements, Wizzdi Cloud stands out by seamlessly integrating with established development tools and providing dependency-free code. This unique approach enables backend developers to use Wizzdi Cloud as an accelerator, enhancing productivity without the constraints commonly associated with no-code environments. Wizzdi Cloud-generated code is 100% free from platform dependencies, allowing developers to accelerate their work significantly. New users can learn its basic functionality within 30 to 90 minutes, even without prior experience.
This case study examines the efficiency gains achievable by backend developers using Wizzdi Cloud compared to traditional development methods. The study involved a group of Spring Boot developers who completed the same backend task using both traditional coding and Wizzdi Cloud. Results reveal considerable time savings, particularly for developers who previously trained with Wizzdi Cloud.
Methodology #
Objective
The goal was to measure the efficiency of Wizzdi Cloud in creating a backend system compared to traditional development.
Participants
Four backend developers proficient in Java and Spring Boot were recruited, each with an average of three years of experience. The group included three developers (Developers A, B, and C) who had no prior experience with Wizzdi Cloud and one experienced Wizzdi Cloud user (Developer D).
Task Description
Developers were tasked with building a backend system to manage books, authors, and libraries. The system required:
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Entity definitions for Book, Book Instance, Author, Genre, Lender, Library, AppUser, and several linking entities to handle many-to-many relationships.
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CRUD REST APIs to manage the entities.
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Backend implementation using JPA 2.1 and type-safe criteria API.
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User management endpoints for registration and login.
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Docker script for launching the server in one command.
Process
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Each developer was first asked to complete the task using standard development.
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Developers with no prior Wizzdi Cloud experience (A, B, C) were then introduced to Wizzdi Cloud.
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They were allowed a short learning period with the platform and asked to complete the task again on Wizzdi Cloud.
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Developer D, already familiar with Wizzdi Cloud, completed the task on the platform for comparative purposes.
Results #
The results show a significant reduction in development time for those using Wizzdi Cloud.
|
Developer |
Time to Complete (Traditional) |
Time to Learn Wizzdi Cloud |
Time to Complete (Wizzdi Cloud) |
|---|---|---|---|
|
A |
419 minutes |
N/A |
N/A |
|
B |
639 minutes |
50 minutes |
22 minutes |
|
C |
340 minutes |
N/A |
N/A |
|
D |
N/A |
N/A |
9 minutes |
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Developer B: Despite being new to Wizzdi Cloud, Developer B completed the task in only 22 minutes after a brief 50-minute learning period.
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Developer D: An experienced Wizzdi Cloud user, Developer D completed the task in just 9 minutes.
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Developers A and C, who worked using traditional development methods alone, took significantly longer to complete the task, ranging from 340 to 639 minutes.
The results underscored such a large efficiency gap that further testing was halted for Developers A and C, as it was clear they would not match the speed achievable on Wizzdi Cloud.
Discussion #
The study illustrates the impact of Wizzdi Cloud’s no-code capabilities on backend development. Even developers with no previous experience saw a remarkable reduction in task completion time after a short training session. Wizzdi Cloud’s automatic handling of non-domain logic—such as API, criteria API implementation, and containerization—streamlines backend setup and enables developers to focus on core business logic.
Developers new to the platform achieved up to 30 times acceleration in task completion when using Wizzdi Cloud over traditional development environments. For experienced users, the speed was even more pronounced, reflecting the value of familiarity with the platform.
Conclusion #
Wizzdi Cloud enables backend developers to significantly accelerate their workflows, achieving up to 30-fold improvements in speed without sacrificing the flexibility of traditional coding tools. The platform’s ability to generate fully independent, standard-compliant code offers developers the best of both worlds—speed and integration with traditional development workflows. Wizzdi Cloud is positioned as a powerful tool for organizations seeking to maximize efficiency in backend development without compromising code portability or flexibility.
Future Research #
Future research will examine hybrid workflows that combine Wizzdi Cloud with traditional development environments, assessing whether combining both approaches yields further benefits. Additionally, research will focus on more complex projects that go beyond domain modeling and CRUD operations to explore Wizzdi Cloud’s capabilities in areas like security, business logic, and third-party integrations.
