I. Introduction
As enterprises continue to upgrade their pursuit of innovation and efficiency, R&D efficiency has become a hot concept. Major companies have set up dedicated teams one after another, with the important goal of improving R&D efficiency. This article will start from the perspective of R&D personnel, combined with their own in-depth thinking, discuss the related concepts of R&D efficiency, jointly find bottlenecks and provide breakthrough suggestions based on low code.
2. Definition of R&D Effectiveness
R&D effectiveness refers to the efficiency and capability of R&D . Improving R&D efficiency is the instinctive pursuit of R&D management. Generally, continuous optimization and improvement is achieved through the construction and promotion of R&D processes , R&D tools, R&D specifications, and performance metrics . The implementation of system construction mainly focuses on project life cycle management, source code management, development environment optimization, continuous release of sequel integration, collection and analysis of performance indicators, etc. No matter what means are adopted, the purpose is to make research and development work more efficient.
If you want to sum up R&D effectiveness in one sentence, it is the ability to " deliver better business value more efficiently, with higher quality, more reliably, and sustainably ".
3. R&D efficiency platform
Value proposition: automation + self-service, scenario + ecology
Automation: Automation is well understood. DevOps pays attention to "automating everything", which is the A (Automation) in the essence of DevOps "CALMS" . Observability and other aspects are much higher than those of medium and low R&D efficiency enterprises;
Self-service: Self-service means that upstream and downstream roles can be closely connected through the platform. After the tool platform is created by a certain role, other upstream and downstream roles should be able to use it on demand and self-service , reducing the need for a certain role or a certain person. Dependence, so that the efficiency of organizational collaboration can be improved;
Scenario-based: We often see that many so-called "one-stop, integrated" are divided according to functional areas and demonstrate related capabilities. An easy-to-use platform that really allows managers and engineers to use it must be organized according to R&D scenarios . For example, a certain product is the main thread running through the DevOps process, which is convenient for users to manage product-related requirements, create feature branches, and iteratively develop and deliver. . Similarly, taking the application as the main line will be more friendly to the operation and maintenance personnel;
Ecologicalization: The difficulties commonly encountered in building R&D performance platforms in large Internet companies are that the business is complex, large-scale, unique, and has many scenarios . It is difficult to meet the needs of the entire company through the efforts of a team. But it will be even worse if each business department does everything by itself, reinvents the wheel, or even viciously competes with each other. Therefore, as a platform builder, it should be more open , separate the platform base and the construction of atomic capabilities , that is, promote the healthy development of the company's R&D efficiency platform through ecological partnerships. From the perspective of the company, reducing redundant construction and avoiding internal friction are also manifestations of "anti-involution".
Implementation Recommendations
The construction of the R&D efficiency platform should not pursue "big and comprehensive" at the beginning. The so-called "one-stop, integrated" is just a means rather than an end, and ultimately it is mainly to meet the demands of R&D scenarios. Especially in the initial stage of platform construction, it is advisable to operate the platform with the thinking of supporting "toB" customers, deeply bind and follow up the seed team, and deeply understand the pain points and needs of the business. The platform created in this way will be used immediately by people, and then collect feedback , like a snowball, more and more perfect. In addition, we must also pay attention to the linkage between the demand value stream and the engineering value stream, rather than splitting into two unrelated systems.
4. The role of low code
Although the core R&D efficiency is difficult to break through, after years of exploration and development, low-code technology currently seems to be the most promising one. The significant effect of low code in improving R&D efficiency has been confirmed by many practical cases. Perhaps the most well-known story is the story of Tesla developing an ERP system in a very short period of time using low-code technology.
Introduction to JNPF
JNPF is a low-code application construction platform based on springboot+vue3. It takes only 2 hours to complete the development of an application that takes 2 weeks in the traditional mode by means of visual drag and drop. To build applications with JNPF, you only need to focus on the business itself. Data storage, operating environment, server, network security, etc., the platform will handle it for you.
Application address: https://www.jnpfsoft.com/?csdn
JNPF product positioning
Enterprise-oriented projects provide development services and undertake the basic platform of enterprise software projects. Therefore, building enterprise applications has both the characteristics of SaaS and the nature of development tools.
It is a low-code tool that can complete functions that require a lot of code to achieve in the traditional way with less or no code writing.
It is mainly for developers, and basic programming ability is required to play the secondary development ability of JNPF. Professional developers can be extremely productive with JNPF.
It is an efficient design tool that encapsulates page elements into basic components and business components, and encapsulates business rules and permissions into rule configurations, formulas, and a drag-and-drop process designer. Through drag-and-drop and configuration, no need to write code, that is It can complete the construction of application systems that meet business needs.
It is a lightweight framework with a small amount of code, and the stability and ease of adjustment of the system will be guaranteed to a certain extent. Based on the code generator, it can develop multi-terminal applications for Web, Android, IOS, and WeChat applets in one stop.
5. Use JNPF to improve core performance
The front and back separation framework (SpringBoot+Mybatis-plus+Ant-Design+Vue3) code generator has low dependency, flexible expansion capabilities, and flexible secondary development.
Reduce the amount of necessary code
Under the premise of maintaining the same quality, the lower the amount of code required to complete the same work, the more work can be completed per unit time. And if you want not to find BUG in the code, you can only do it completely without writing code. JNPF not only allows developers to use less code to complete common requirements, but also to achieve specific requirements without writing code.
improve intelligibility
Visualizing the model can greatly improve the understandability of the system and involve more R&D stakeholders.
The first is to improve the understandability of the design level, so that product managers can participate in design reviews more effectively. As the saying goes, a picture is worth a thousand words, but the design of many R&D personnel is mainly based on class diagrams. Not to mention product managers, it is difficult for another R&D personnel to understand. Low code makes it easier for product managers to understand system design, point out problems, and find omissions.
Six, finally
The key to improving R&D efficiency is to increase the effective working hours in the working day and increase the output efficiency per unit time. The improvement of auxiliary research and development efficiency is limited. To make a breakthrough, we must find ways to improve the efficiency of core research and development. With the help of low-code tools like JNPF, it can bring immediate results to improve core R&D efficiency.