On June 22, 2026, 48 developers jointly filed a complaint against Apple, accusing the App Store of excessive commissions and an opaque review mechanism. This seemingly isolated incident reflects a deep transformation underway across the entire software industry: AI is redefining the very act of "making software," and the game of platform ecosystems has entered a new stage along with it.
In 2026, AI Agents are no longer a concept but a productivity tool that is being put into practice. According to industry data, low-code platforms combined with AI programming assistance have already boosted software development efficiency by more than 300%. An enterprise management system that originally required a team of 7-8 people and 3 months to complete can now be delivered as a usable initial version in 6 weeks by 2 people working with AI tools.
For companies engaged in software development, this means a fundamental change in the delivery model. In the past, the core bottleneck of enterprise digital transformation was "insufficient development resources"—requirements queued up, schedules were set, and teams waited their turn. Now, AI Agents handle a large amount of repetitive coding work, allowing developers to focus their energy on architecture design and business logic.
In the process of serving clients, Xiangming Technology has observed that some enterprises have begun using AI-assisted WeChat development tools to build mini-program backends. A project that originally required 2-3 front-end and back-end staff working together for a month is now compressed to within a week.
Since its inception, Apple's App Store has been a representative of the "walled garden" model. The 30% commission has been criticized by developers for years, but what truly makes small and medium-sized developers feel a sense of crisis is the supply explosion brought about by AI.
When AI dramatically lowers the entry barrier for APP development, the total number of apps is bound to surge. This means: more developers competing for the same user attention, while the platform's bargaining power becomes even stronger. The complaint by 48 developers is essentially an expression of this structural imbalance.
The WeChat mini-program ecosystem has chosen a different path. WeChat directly opens its AI capabilities to developers, with mini-program daily active users exceeding 500 million and covering more than 3 million developers. Companies doing mini-program development and APP development gain lower trial-and-error costs and higher growth leverage within the WeChat ecosystem.
The core of traditional enterprise digital transformation is the ERP system—moving offline processes online. The new trend in 2026 is "AI-native architecture": not adding an AI interface to an old system, but reconstructing business processes with AI from the ground up.
Taking the IoT field as an example, the AIoT market size has surpassed one trillion in 2026. Smart community solutions are integrating modules such as AI access control, IoT management platforms, and intelligent security systems to form a complete digital operations loop. This involves not only the connection of sensor hardware but also relies on the development and integration of powerful backend management systems.
In the e-commerce field, cross-border e-commerce SaaS tools are booming, and AI product selection, intelligent customer service, and smart warehouse management have become standard features. Behind these systems is essentially AI's transformation of traditional management systems.
Facing platform tax pressure and the supply explosion brought about by AI, small and medium-sized developers and enterprise users have three directions to choose from:
First, embrace low-code + AI toolchains.Rather than complaining about change, it is better to become part of the change. Development teams that are good at using AI tools can provide better products at lower cost.
Second, go deep into vertical scenarios.Competition in general-purpose apps has already become white-hot, but there is still huge space for vertical solutions targeting specific industries and specific pain points. Examples include segmented tracks such as smart communities, smart warehousing, and corporate training.
Third, build your own distribution channels.Do not bet all your revenue on a single platform. Build a healthier revenue structure through official websites, self-operated channels, and industry partnerships.
The core driving force behind AI Agents accelerating enterprise digital transformation is not the progress of technology itself, but a fundamental change in the "cost-value" relationship. When an enterprise can complete software development with one-third of the original cost and half the time, the decision-making logic of digitalization changes—it is no longer "whether to do it," but "how to do it faster."
For enterprises preparing for digital transformation, the best current strategy is: find a reliable software development partner, quickly complete a minimum viable product (MVP), and iterate and optimize in actual operations. Waiting until the technology route is settled before acting will instead mean missing the window of opportunity.
What AI brings is not a bubble, but a real productivity revolution. Those enterprises that are the first to embrace change will seize the initiative in the new cycle.
—— Xiangming Technology · Let technology become the growth engine of enterprises
Xiangming Technology (www.xiangmingit.com) —— Shenzhen software development, WeChat mini-program development, APP development, and IoT solution provider
Having served 2,000+ enterprise clients, helping enterprises with digital transformation
Room 1409, Building C, Shenzhen Century Industrial Center, No. 743 Zhoushi Road, Hezhou Community, Hangcheng Sub-district, Bao'an District, Shenzhen
