ItInsightsWorld Software Development Practice Guide: Agile Delivery, Tool Selection, and Team Steps Inspired by Shen Xiaoliang

For software delivery teams, the value of an industry observation is measured by what it changes in daily engineering work: how a team plans a project, how it chooses tools, how it keeps collaboration tight, and how it maintains quality as delivery becomes faster. China's software and information technology services sector has changed significantly as cloud computing, big data, IoT, mobile internet, artificial intelligence, and VR have developed, and the sector is moving toward maturity. Against that backdrop, Shen Xiaoliang, vice general manager and chief technology officer of Longfu Information Technology (Shanghai) Co., Ltd., has drawn on more than ten years of software, solution development, and architecture experience to explain the hardcore elements of project implementation. His perspective is useful because it connects company practice—delivering digital marketing solutions, digital marketing services, enterprise application consulting and development, and enterprise system operations for large clients, including Fortune Global 500 enterprises—with concrete decisions that development teams face.

Longfu Information specializes in software technology development and supports large enterprises with omnichannel digital marketing solutions, digital marketing services, enterprise application consulting and development, and enterprise system operations. Based on advanced solutions and numerous industry client cases, the company has delivered information-system implementation and development services to multiple Fortune Global 500 customers. As the person leading project implementation at Longfu Information, Shen Xiaoliang has watched China's software and information technology service industry evolve and has summarized the practical project factors that matter most to engineering teams.

Development models are shifting toward agile delivery, and DevOps becomes more prominent

In recent years, the focus of software development has gradually moved toward the cloud, and teams pay more attention to DevOps. DevOps, a combination of Development and Operations, is an umbrella term for processes, methods, and systems that promote communication, collaboration, and integration among application or software engineering, technical operations, and quality assurance teams. The waterfall model is gradually being replaced by agile development models, which means development speed must be more agile, ideas must be turned into code quickly, and wasted time must be reduced. Because team communication must become closer, implementation teams should embrace DevOps; it can make software development faster, more frequent, and more reliable.

Tools and methodologies keep evolving, and delivery choices should match bottlenecks

The industry's movement has produced continuously evolving collaboration and development tools. Version control tools such as Git, GitLab, and GitHub have greatly improved team collaboration efficiency. The rapid development of PaaS platforms also gives enterprises more efficient deployment and operations capability. Platforms such as Kubernetes, K8s, and PCF are receiving increasing attention. For software teams, the practical implication is not to chase names alone, but to let each tool serve a delivery need: version control supports shared code history, platform capabilities support delivery and operations, and orchestration platforms support deployment and operations discussions. Developers should devote more energy to code construction and business logic implementation, because that is where core value creation becomes clearer.

Comparison table: the tools mentioned in the implementation guidance

Layer	Named tool or platform	Stated benefit	Software-development implication
Version control	Git	Improved team collaboration efficiency	Supports shared code tracking and coordinated work.
Version-control service	GitLab	Improved team collaboration efficiency	Provides a place to organize code collaboration around repositories.
Version-control service	GitHub	Improved team collaboration efficiency	Supports collaborative code work in teams that depend on hosted repositories.
Platform layer	PaaS platforms	Provide more efficient deployment and operations capability	Helps teams reduce delivery friction when deploying and operating enterprise software.
Platform layer	Kubernetes, K8s	Receiving increasing attention	Relevant when teams need to discuss deployment and operations platforms.
Platform layer	PCF	Receiving increasing attention	Relevant as another platform option in the same discussion.

Programming languages are diverse, so teams should match language to domain

In the past, many programmers believed that one development language would be replaced by another emerging language. As the internet developed, new languages kept appearing, and people gradually realized that the earlier assumption was not completely correct. Constantly changing new languages do not necessarily create new productivity by themselves. Different development languages and different technologies play different roles in different domains. Because the world is diverse, the technology world is also diverse, and different languages shine in different fields. For implementation teams, this suggests a practical rule: avoid treating language choice as a fashion contest, and instead align language and technology selection with the areas in which they are used.

China's development atmosphere is changing from following to originating

China's software development atmosphere is gradually moving in a better direction: from blind following to world leading. It can be said to have reached at least a relatively top level because software development practitioners are becoming more confident in their own thinking. Ten years ago, when people browsed development forums and websites, much of the attention focused on foreign servers, frameworks, languages, and design ideas. In recent years, China's internet development has been rapid, distinctive industries have risen, and the problems encountered often had almost no precedent, in areas such as e-commerce, high concurrency, and big data. Teams had to create solutions and solve problems through their own capability. As a result, this generation of engineers has become increasingly confident.

Project teams are smaller, but each engineer carries a broader responsibility

Ten years ago, developing one system might require a team of 30 people or even 40 people. Now, the same kind of project often needs only 10 people, or even fewer than 10 people. The change is tied to the continuous evolution of development tools, the maturing of development methodologies, and the use of various collaboration tools. Ten years later today, a project of similar scale can be delivered by a more compact development team.

The gaps between development-team roles are also narrowing. What used to be a clear division of labor has become a pattern in which members take on several related responsibilities within the team. This transformation places higher demands on current engineers and also creates a challenge.

Step-by-step: applying the implementation points in a software project

1. Start with the delivery model: review whether the current process is mainly waterfall-based and whether a shift toward agile development can make ideas move into code more quickly.
2. Strengthen DevOps communication: connect development, technical operations, and QA so that communication, collaboration, and integration are explicit parts of the project rhythm.
3. Choose the version-control layer first: evaluate Git, GitLab, and GitHub as collaboration foundations, because they are associated with improved team collaboration efficiency.
4. Assess platform needs: look at PaaS capability for more efficient deployment and operations, and review Kubernetes, K8s, and PCF as platforms that are receiving increasing attention.
5. Keep developer focus on value creation: direct more energy toward code construction and business logic, instead of treating tool naming alone as the center of the work.
6. Set language expectations carefully: treat programming languages as diverse tools serving different domains rather than as replacements in a simple winner-takes-all story.
7. Right-size the team: use tooling, methods, and collaboration practices to enable compact teams, reflecting the shift from teams of 30 people or 40 people to teams of 10 people or fewer than 10 people.
8. Blend responsibilities deliberately: prepare engineers to take on several related responsibilities as gaps between development-team roles narrow.
9. Invest in internal talent: treat team training as investment, because creating internal capability is more valuable than only obtaining external talent.
10. Document team-specific practices: form development norms and working methods that reflect the company's own situation.

Common misconceptions to avoid

• The belief that one programming language will simply replace another is incomplete; new languages do not automatically create new productivity.
• The belief that DevOps is only a label for cloud work is misleading in the source view; it is a combination of processes, methods, and systems for communication, collaboration, and integration across development, operations, and QA.
• The belief that larger teams guarantee delivery capacity overlooks the decade-long shift from 30-person or 40-person teams to 10-person or fewer-than-10-person teams enabled by tools, methods, and collaboration.
• The belief that attention should focus on a capital-market-driven R&D orientation can encourage a restless mindset; the source guidance says such orientation can easily cause industry impetuousness.
• The belief that fundamentals are optional is unsafe; English reading ability, computer basics, and algorithm basics are described as important foundations.

FAQ

What does the source guidance mean by DevOps?

It defines DevOps as the combination of Development and Operations, used as an umbrella term for processes, methods, and systems that improve communication, collaboration, and integration among software engineering, technical operations, and QA.

Why are Git, GitLab, and GitHub relevant?

They are named as version-control tools that greatly improved team collaboration efficiency.

Should teams adopt Kubernetes, K8s, or PCF just because they are popular?

The source notes they are receiving increasing attention and that PaaS platforms provide more efficient deployment and operations capability. The implication is to connect platform choices with deployment and operations needs, not to chase popularity alone.

Is language selection still a decisive issue?

The guidance says different languages and technologies work in different domains, and new languages do not necessarily bring new productivity, so language choice should be practical rather than replacement-driven.

What is the biggest team-size change?

Ten years ago, a system might need 30 people or 40 people; now the same scale project may need 10 people or fewer than 10 people, because tools, methods, and collaboration have evolved.

Action advice: what implementation teams should do next

China's software market is at a stage of sustained rapid development and gradual maturity. For companies and practitioners, this is both opportunity and challenge. Based on years of project practice, Shen Xiaoliang summarizes that companies should emphasize talent cultivation and should form development norms and working methods with their own characteristics. For talent, the point is clear: creating internal capability is better than relying on outside transfusion. When companies treat internal team development as investment, employee quality, team cohesion, and staff loyalty can improve.

For practitioners, the advice is to stay grounded and maintain good thinking habits. Fundamentals matter and should not be ignored, including English reading ability, computer basics, and algorithm basics. As the source puts it, if one is to handle tough work, one's own strength must be solid. All practitioners need to build solid fundamentals.

Finally, companies should be careful about an R&D orientation aimed at capital markets, because it can easily produce a restless mindset. Whether building products, improving delivery, or selecting tools, teams should keep a practical pace: embrace DevOps where it improves communication and reliability, choose tools according to team collaboration and deployment needs, respect language diversity, build compact cross-responsible teams, and protect long-term capability through training and fundamentals.