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Imagine an app that does everything, like China’s WeChat and Southeast Asia’s Grab, serve as hubs for a range of services, from messaging and shopping to payments and even government services. Super apps integrate multiple functionalities, offering users a seamless experience across diverse services within a single app. But while they’ve achieved phenomenal success in parts of the world, the super app phenomenon has yet to take hold in the United States.

Can this all-in-one model thrive in the U.S., where tech giants and regulatory hurdles make the landscape unique? And if so, what might that mean for software developers? Here, we’ll dive into the factors driving the rise of super apps, explore potential barriers in the US market, and provide insights for developers to stay ahead.

What Makes a Super App “Super"?

A super app is defined not just by the services it offers but by its ecosystem—an integrated platform that offers a seamless, user-friendly experience. While the features of super apps vary, common elements include:

All-in-One Functionality: Users can chat, shop, pay bills, book transportation, and access a variety of services without leaving the app.

Unified Payment Systems: With built-in payment options, users can quickly and securely complete transactions, making for an efficient user experience.

Personalized Experiences: By using advanced data analytics, super apps offer tailored experiences that keep users engaged, anticipating needs and offering relevant services.

For developers, super apps present exciting challenges and opportunities. Building seamless experiences, ensuring data security, and scaling features to meet high user demand all require innovative development practices.

Why the US Market Hasn’t Embraced Super Apps Yet

Several unique factors have prevented super apps from becoming mainstream in the US so far:

Established, Specialized Apps: The US app ecosystem is highly fragmented, with specialized apps for nearly every purpose. The cultural tendency to use distinct apps for distinct functions makes it harder for a super app to gain traction.

Privacy and Data Concerns: Super apps thrive on centralized data collection, but US consumers tend to be wary of data sharing, especially with major tech companies. Stricter privacy regulations like GDPR and CCPA add an extra layer of compliance challenges.

Regulatory Environment: The US regulatory landscape prioritizes competition and often scrutinizes potential monopolistic behavior, which may pose a barrier to any company trying to monopolize a range of services within a single app.

However, as technology and user preferences evolve, the demand for convenience and integrated experiences may change. Some of the US’s largest tech companies, such as Apple, Google, and Amazon, have the infrastructure and user base to potentially lead a super app movement.

Will the US Have Its Own Super App by 2025?

While experts remain divided on whether the U.S. will see a true super app by 2025, several key factors suggest that the market could be ripe for one. Consumer demand for a more unified, convenient digital experience is growing, with surveys showing that 67% of U.S. consumers prefer a single platform to manage their various online activities . Additionally, the increasing popularity of mobile payment platforms like Apple Pay and Google Pay has laid the groundwork for a super app model, making it easier for users to adopt integrated services . Tech giants such as Meta and Google are already expanding their ecosystems by incorporating messaging, shopping, and payment features into their platforms, positioning them as potential candidates to lead the super app charge in the U.S. .

However, significant challenges remain. Privacy concerns are a major issue, as U.S. consumers remain cautious about sharing personal data with large tech companies. The regulatory environment in the U.S. also poses barriers, with strict laws on data privacy and antitrust practices that may prevent a single company from consolidating multiple services into one app . These factors create uncertainty, but also highlight the complexities developers must navigate as the super app trend evolves.

Despite these hurdles, NYU Professor Scott Galloway has predicted that super apps could drive the next wave of tech growth in the U.S., potentially leading to the first $10 trillion company.

How Super Apps Could Change Developers’ Workflows

If super apps gain momentum in the U.S., software developers’ workflows will likely undergo significant adjustments to meet the demands of these all-in-one platforms:

Cross-Platform Development will become essential, as super apps must offer a seamless experience across devices. Developers will need to prioritize compatibility and adaptability, building applications that perform smoothly on both mobile and desktop environments. This shift may lead to an increased use of cross-platform frameworks, such as Flutter or React Native, to ensure consistency across devices.

Data Privacy and Security will take on a new level of importance in super app development. Because these apps aggregate vast amounts of personal data, compliance with privacy regulations like CCPA and GDPR will be critical. Developers will need to implement robust security measures, including encryption, data anonymization, and rigorous data governance, to safeguard user information and build trust.

User-Centric Design will play a central role in the success of super apps. With a wide range of features contained within a single platform, a streamlined and intuitive user interface is key to preventing cognitive overload. Developers will need to focus on creating simple, user-friendly designs that allow users to easily navigate between various services without frustration.

Scalability and Microservices Architecture will also be crucial. To support the vast and varied services typical of super apps, developers will rely on modular, microservices-based architectures. This approach facilitates rapid scaling and service integration, helping super apps adapt to high demand. As a result, expertise in API design, microservices, and scalable infrastructure will become highly valuable in this context, allowing for smoother functionality and increased resilience.

These shifts in workflow will require developers to adopt a more holistic approach to app design, blending technical skills with a strong understanding of user experience, security, and regulatory compliance. By adapting to these demands, developers can effectively contribute to the evolution of the U.S. super app ecosystem.

What Kind of Developer Will Be Needed to Build a Super App?

Developers who specialize in cross-disciplinary skills will have an advantage as the demand for super apps grows. Skills likely to be valuable in a super app development environment include:

API Integration and Microservices Architecture: Super apps rely on modular design to connect various services. Developers skilled in API management and microservices will be able to build efficient and easily maintained super app ecosystems.

Data Science and AI/ML: Personalization is a key feature of super apps, so expertise in data science and machine learning will help developers create tailored, engaging user experiences.

Security and Privacy Compliance: With growing regulatory scrutiny, developers must have knowledge of security protocols and data compliance laws. Skills in cybersecurity, data encryption, and regulatory knowledge will be essential to building consumer trust.

UI/UX Design: Given the super app’s complexity, developers with a background in UI/UX design will be essential to create smooth, intuitive interfaces that prevent cognitive overload.

How to Become a Super App-Ready Developer

To prepare for the emerging era of super apps, developers can focus on building a diverse skill set tailored to these all-in-one platforms. First, expertise in cross-platform development will be essential; frameworks like React Native and Flutter enable seamless functionality across devices, ensuring that a super app works smoothly on both mobile and desktop.

Understanding privacy regulations is also crucial. With the heavy data usage involved in super apps, developers need a thorough knowledge of laws like GDPR and CCPA to build compliant systems that prioritize user privacy and security.

API and microservices knowledge is another key area. Since super apps bring together many services, being able to create scalable architectures with tools like Kubernetes and Docker will help developers manage the complexity. Similarly, experience in AI and machine learning will be beneficial, as super apps rely on personalization features to deliver tailored user experiences.

Finally, strong UI/UX skills are indispensable. Super apps can easily become overwhelming, so creating intuitive, accessible designs will be crucial for user retention and satisfaction. This broad skill set will enable developers to build secure, high-performing, and user-friendly super apps suited to the demands of this all-in-one platform trend.

Conclusion

With remote work becoming the norm, many software teams are now distributed across cities, time zones, or even continents. Agile development, with its emphasis on flexibility and collaboration, is a natural fit for these remote teams. However, applying Agile practices in a distributed environment requires adjustments to ensure that collaboration, communication, and productivity remain strong.

In this article, we’ll cover best practices for implementing Agile successfully with distributed teams to maintain productivity, communication, and a strong team culture.

Set Up Strong Communication Channels

Communication is the foundation of Agile, and it becomes even more critical for distributed teams. Consider implementing the following:

Primary Communication Tool:

Use platforms like Slack or Microsoft Teams for real-time messaging and day-to-day communication. This helps ensure that all team members are accessible and responsive.

Video Conferencing:

Schedule regular video calls for important discussions, daily stand-ups, and retrospectives. Video helps build rapport and encourages engagement.

Documentation Platform:

Use Confluence, Notion, or a similar platform to document meeting notes, action items, and other crucial project details. This makes it easy for team members to stay updated, even if they miss a meeting.

Establish a communication protocol that specifies when to use each tool, so everyone is aligned and no messages are missed.

Create a Routine for Agile Ceremonies

Agile ceremonies such as daily stand-ups, sprint planning, and retrospectives are essential to an Agile workflow, and it’s even more important to keep these consistent in a remote setting. Here’s how to adapt each one:

Daily Stand-ups:

These meetings should be short (15 minutes max) and scheduled at a time that works for everyone across time zones. Using a tool like Jira or Trello to log updates can make the stand-up faster and provide a written record.

Sprint Planning:

Set clear goals for each sprint, but keep the meeting focused. Encourage team members to prepare ahead so planning doesn’t become too lengthy.

Retrospectives:

Use retrospectives to address remote-specific challenges like communication or workflow adjustments. Anonymous feedback tools like FunRetro can create a safe space for everyone to voice concerns.

Establishing these routines helps keep the team on the same page and aligned, regardless of location.

Leverage Tools to Visualize Work and Track Progress

Using Agile project management tools is critical to ensure everyone can see work in progress and stay up to date with the team’s output.

Task Management:

Use tools like Jira, Asana, or Trello to track task progress, assign work, and document sprint goals. Clear visibility into what everyone is working on minimizes misunderstandings and keeps workflows smooth.

Digital Kanban Boards:

These help team members track progress and identify bottlenecks. Updating the board regularly keeps everyone informed, even if they’re working asynchronously.

Automated Reporting:

Set up automated reports to track sprint velocity, task completion rates, and team productivity. This helps keep goals measurable and lets everyone track how well the team is meeting objectives.

Foster a Culture of Transparency and Trust

In distributed teams, building trust can be challenging since people can’t always meet face-to-face. However, fostering a culture of transparency helps create a sense of accountability and builds trust over time.

Share Progress and Challenges:

Encourage team members to openly share their progress, as well as any blockers they’re facing. Tools like shared dashboards or status updates can help keep everyone informed.

Promote Autonomy:

Give team members ownership over their work and avoid micromanagement. In distributed Agile, team members are often more productive when trusted to manage their own time and tasks.

Encourage Open Feedback:

Agile thrives on continuous improvement. Encourage feedback from team members about processes, communication, and task management, especially during retrospectives.

Account for Time Zone Differences

Time zone differences are one of the most common challenges in distributed Agile teams. With planning and flexibility, these differences can be managed to keep collaboration strong.

Overlap Hours:

Set up overlap hours when team members in different time zones are online at the same time. This makes it easier to have real-time conversations when needed.

Async Updates:

For tasks like stand-ups or project updates, consider using written or video updates if some team members can’t join live. This allows everyone to share their progress, even if they aren’t working simultaneously.

Flexibility in Scheduling:

Be mindful when scheduling meetings to accommodate all team members. Rotating meeting times or offering flexible attendance options can help ensure inclusivity across time zones.

Prioritize Clear and Detailed Documentation

With Agile’s rapid pace, details can be lost if communication isn’t documented carefully. Documentation can bridge gaps, allowing team members to reference notes, processes, and decisions without relying on real-time conversation.

Document Decisions and Action Items:

Make a habit of documenting decisions made in meetings and any action items assigned. Platforms like Confluence, Google Docs, or Notion work well for this.

Provide Onboarding Material:

If your team is growing, create documentation to help new hires understand workflows, tools, and communication standards. This makes it easier for new members to get up to speed without constant guidance.

Define Processes Clearly:

Outline workflows, coding standards, and testing protocols, so team members can follow best practices without requiring frequent check-ins.

Use Agile-Friendly Tools for Real-Time Collaboration

Agile in distributed teams relies on real-time collaboration tools that mimic in-person work as closely as possible.

Code Collaboration:

Platforms like GitHub, GitLab, or Bitbucket allow for collaborative coding and make version control and code reviews simple and efficient.

Pair Programming Tools:

Use pair programming tools like Tuple or Visual Studio Live Share to enable real-time coding, which can improve code quality and build stronger relationships between team members.

Design Collaboration:

Tools like Figma and Miro facilitate real-time collaboration on design and ideation, allowing distributed teams to brainstorm and prototype together seamlessly.

Track and Reflect on Productivity and Morale

It’s essential to regularly check in on team productivity and morale. Distributed work can sometimes feel isolating, so team morale should be monitored just as closely as productivity.

Pulse Surveys:

Use regular, anonymous surveys to check in on team well-being and identify any issues early on.

Celebrate Wins:

Remote work can feel disconnected, so celebrate milestones and wins. Recognizing achievements, no matter how small, can boost morale and maintain engagement.

Monitor Burnout:

Agile development can be fast-paced, and burnout is a real risk. Make it a point to encourage taking breaks, flexible hours, and manageable workloads to keep the team healthy and motivated.

Conclusion

While Agile can be challenging in distributed teams, these best practices make it possible to work efficiently, build trust, and maintain team cohesion. With a strong foundation of communication, transparency, and collaboration tools, distributed Agile teams can remain highly productive and deliver quality work that supports the growth and goals of the company.

Store credit is a trendy new feature recently released by Shopify in July 2024, designed to enhance customer engagement. This innovative functionality allows customers to hold a balance within their accounts that can be applied to future purchases, rewarding loyal customers, eliminating the need for cash refunds or issuing gift cards on certain occasions. In this blog, we will explore the benefits of store credit, how it works, and how you can implement it effectively in your Shopify store.

What is Store Credit?

Store credit is a monetary value assigned to a customer's account that can only be used within the issuing store. Unlike gift cards or discount codes, store credit is non-transferable and linked directly to the customer, making it a unique tool for fostering loyalty and repeat business. With the introduction of this feature, Shopify merchants can now manually issue store credits directly from their admin panel.

Benefits of Store Credit

Implementing store credit in your Shopify store offers several advantages:

Enhanced Customer Loyalty: By providing store credit to the customers’ account instead of gift cards or coupons, which can be give away, businesses encourage customers to return and make new purchases, ultimately boosting retention rates.

Operational Efficiency: Store credit streamlines the loyalty rewards process, enabling merchants to manage credits directly from customer profiles without the hassle of issuing gift cards.

Increased Sales Potential: Customers using store credit often feel less constrained by their spending, leading them to purchase additional items beyond the value of their credits.

Improve Customer Experience: Customers no longer need to memorize complex gift card codes. With store credit, they can effortlessly enjoy the rewards of their loyalty.

Flexibility in Customer Interactions: Store credit can be issued for various reasons—whether compensating for an unsatisfactory experience or rewarding loyalty—making it a versatile tool for customer engagement.

Innovative Uses of Store Credit in Shopify

Currently, store credit in Shopify Admin can only be manually edited within the specific customer’s account. However, many merchants have expressed interest in automating the crediting process, particularly for loyalty rewards.

Based on the feedback we’ve gathered, our team has developed an effective solution for automating this process. Here’s how it works:

Accrual of Store Credit: Customers earn store credit based on their purchases. For example, our model allows customers to accumulate 10% of their order total as store credit. If a customer makes a purchase of $1000, they will earn $100 in store credit. This is all based on the rules written in the code, and the rules can be changed based on the specific business requirement.

Using Store Credit at Checkout: When customers log into their accounts at checkout, they will see an option to apply any available store credit. If they choose to use their $100 credit on a new purchase, this amount will be deducted from their order total.

Tracking and Management: Store credits are easily managed through the Shopify admin interface. Merchants can view each customer's balance and transaction history, ensuring transparency and accuracy in managing credits In our custom-developed app interface, merchants can also track the source of the credit—specifying which order contributed to the credit amount—providing valuable insights for monitoring the credit process.

If you’re interested in implementing or customizing this store credit solution for your Shopify store, please reach out to us. We’re here to collaborate and tailor a solution that aligns perfectly with your business needs.

In recent years, the issue of digital privacy has gained significant attention, prompting major tech companies to take steps to enhance user privacy protection. However, a recent announcement by Google that it is abandoning its plan to phase out support for third-party cookies in Chrome has sparked widespread debate and concern. This article will analyze the potential impacts of this decision on users, the industry, and the regulatory environment, incorporating relevant data to provide a comprehensive view.

Challenges to User Privacy Protection

Google initially planned to phase out third-party cookies as part of its efforts to enhance user privacy protection. Third-party cookies are capable of tracking user behavior across different websites, collecting browsing data that could potentially lead to privacy breaches. According to a 2020 study by the Interactive Advertising Bureau (IAB), over 76% of online advertisements rely on third-party data to target users. Now that Google has abandoned this plan, users who prioritize privacy may feel disappointed and uneasy. They might question Google’s commitment to privacy and worry about their online activities being misused. This erosion of trust could extend beyond Chrome to other Google products and services.

Changes in Personalized Advertising Experience

While third-party cookies facilitate personalized advertising, making ads more relevant to users' interests and needs, this personalization comes with downsides. Excessive personalization can make users feel constantly monitored, leading to privacy concerns. Additionally, if advertisements become too closely tailored to individual preferences and behaviors, they might cause discomfort or annoyance. According to a report by PageFair in 2019, nearly 53% of internet users find personalized ads intrusive. Google's decision to maintain third-party cookie support might intensify these feelings among some users, potentially leading them to develop an aversion to personalized advertising.

Industry Trends and Competitive Landscape

Other browsers like Safari and Firefox have already implemented measures to restrict or block third-party cookies, focusing on user privacy protection and gaining support from privacy-conscious users. For instance, Apple’s Safari browser introduced the Intelligent Tracking Prevention (ITP) feature in 2017, which significantly limits the ability of third-party cookies to track users. Google’s decision to keep supporting third-party cookies could put it at a disadvantage compared to these competitors. Users concerned about their privacy might consider switching to browsers that offer stronger privacy protections, impacting Google’s market share and competitiveness in the browser industry. According to StatCounter, as of December 2022, Chrome holds approximately 64.8% of the global browser market share, but any loss of trust could jeopardize this dominant position.

Regulatory Scrutiny and Compliance Pressure

The global regulatory landscape for data protection is becoming increasingly stringent, with stricter laws and regulations aimed at safeguarding user privacy. The European Union’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA) are prime examples, imposing rigorous requirements on data collection, processing, and usage. Google’s decision to continue supporting third-party cookies despite these trends could attract heightened scrutiny from regulatory bodies. They might question the effectiveness of Google’s privacy protection measures, potentially leading to further investigations and increased compliance costs for the company. According to a 2022 report by the International Association of Privacy Professionals (IAPP), GDPR non-compliance fines reached €1.1 billion in 2021 alone, underscoring the financial risks associated with regulatory non-compliance.

Conclusion

Building a startup involves numerous critical decisions, but one of the most pivotal early choices is selecting the right tech stack. The tech stack encompasses the combination of programming languages, frameworks, databases, front-end and back-end tools, and applications that power your product. This choice can significantly impact development speed, scalability, and ultimately, the success or failure of your startup.

In this guide, we'll explore key considerations to help you choose a tech stack tailored to your startup's unique needs.

1. Clarify Your Product Requirements

Before delving into technical specifics, start by addressing fundamental questions about your product:

Primary Purpose: Is your application data-intensive, user-focused, or reliant on real-time interactions?

User Growth Projections: What are your expected user numbers and growth rate? Scalability planning is crucial, but remember that starting small can expedite your time-to-market.

Cross-Platform Needs: Do you require a solution that works seamlessly across web and mobile platforms? If so, consider frameworks and languages that support both environments.

2. Balancing Development Speed and Scalability

Startups often prioritize rapid market entry with a Minimum Viable Product (MVP). Tech stacks like Ruby on Rails are renowned for their simplicity and extensive libraries, making them ideal for quick MVP development. However, while some tech stacks facilitate fast development, they may lack scalability or necessitate significant refactoring later on.

Determine whether your goal is to validate a market idea quickly or establish a long-term, scalable system. Striking a balance between speed and scalability will inform your tech stack choice.

3. Understanding Front-End and Back-End Options

Most startups need to focus on two primary components: the front-end (client-side) and the back-end (server-side).

Front-End

Common front-end frameworks include React, Vue.js, and Angular. React, in particular, is favored by many startups for its flexibility, robust community, and ease of integration with various back-end frameworks.

Back-End

The back-end options are diverse, with popular choices including:

Node.js: Known for its scalability and speed, especially suitable for data-heavy and real-time applications.

Django (Python): Ideal for projects requiring complex functionality, such as machine learning integration or data processing.

Ruby on Rails: Perfect for rapid MVP development but may require refactoring as the application scales.

4. Evaluating Database Needs

Your choice of database can profoundly influence your app's performance, scalability, and complexity. For startups, the decision often boils down to SQL vs. NoSQL.

SQL Databases: If your application requires structured data with clear relationships, relational databases like PostgreSQL or MySQL are excellent choices.

NoSQL Databases: For flexibility or handling large volumes of unstructured data, NoSQL databases like MongoDB or Cassandra may be more appropriate.

Consider your data structure, anticipated read/write operations, and scalability requirements when selecting your database.

5. Leveraging Team Expertise and Available Resources

Your team’s expertise can greatly influence the optimal tech stack choice. If your developers are proficient in certain languages or frameworks, it makes sense to utilize their existing skills. Hiring new developers or training your team on a new stack can be both time-consuming and expensive.

6. Considering Cost Implications

Certain tech stacks are more cost-effective for startups. Open-source frameworks and languages like Python, Ruby, or JavaScript offer budget-friendly options. Additionally, consider the costs associated with hosting and third-party services, especially if you're using a cloud-based infrastructure. Managed services from providers like AWS, Google Cloud, and Microsoft Azure can offer scalability and cost efficiency, but be sure to evaluate potential future costs as your user base grows.

7. Prioritizing Security and Compliance

Security is a critical consideration from day one. Choose tech stacks with robust security features and ensure they align with industry compliance standards relevant to your field. For instance, if you're dealing with financial or healthcare data, make sure your tech stack supports standards like PCI-DSS or HIPAA compliance.

Final Thoughts

Selecting the right tech stack for your startup is a delicate balancing act involving speed, scalability, cost, and flexibility. Keep your product vision and growth projections in mind, but don’t hesitate to start simple with your initial MVP. A lean tech stack can allow you to iterate based on user feedback and adjust as you grow.

🛠️ Enhance Your Shopify Store with Breadcrumbs in Dawn Theme Navigating through an e-commerce site should be intuitive and seamless, right? Well, adding breadcrumbs to your Shopify store using the Dawn theme can significantly improve user experience by guiding customers through their shopping journey. For more detail:

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AI has been a controversial hot topic in recent years. It has not only permeated every aspect of our lives but also had a profound impact on the way we work and what we do at work. Many people are experiencing anxiety about being replaced, and female software developer Jessica is no exception. However, running away from it is futile; instead, embrace it and use it to improve your efficiency and methods. Over the years, she has continuously embraced new things, constantly changing and being changed. After her transformation, she has become more confident and stronger.

Jessica, a female software developer from Dalian in the northeast of China. After graduating from university, she joined a software company and have been working there for eleven years now.

From Developer to Tester: The Shift in Work Approaches and Adaptation

The year 2019 was truly special for me. Before 2019, I was engaged in JAVA software development. It was in that year, after returning from maternity leave, that my company implemented a remote working mechanism. I remember that at that time, there were few opportunities for JAVA projects, but fortunately, I got a chance to work on an automation testing project. This not only marked the beginning of my testing career but also initiated my mode of juggling childcare with work.

When I first joined the new project, I was responsible for manual testing tasks. The work intensity was not very high, but the workload was quite saturated. One of the clients I interacted with was named Brain, and our main communication channels were email and Slack. Later, as the QA system continued to grow and expand, I was assigned to another project team (located in the UK). My work began to involve the field of automation testing, using Cypress to write test cases and being responsible for maintaining daily testing reports.

At that time, due to my poor English listening skills, I felt quite nervous when communicating with clients and even bought a translation device to ensure smooth communication. However, one is always trained through practice. Gradually, I became capable of conducting business discussions in English with clients, and my work ability greatly improved.

Transitioning from a developer to a tester was actually easier than I thought, but there are significant differences in work approaches. Writing code from a developer's perspective focuses on logic and code refactoring; whereas from a tester's perspective, it is crucial to ensure that the code is simple, clear, efficient, and concise. I remember once writing an automation test script that a client reviewed and loved for its structure, which significantly improved execution time by several times. However, he was concerned that colleagues might need more time to understand my code during future maintenance. This minor episode at work made me realize how important adaptability is in the workplace. Opportunities always favor those who can adapt quickly to new environments, which also helped me recognize the importance of AI in the future.

Self-Learning: Enhancing Your Own Value

During the period of working on automation testing, I felt that technical knowledge was not the most critical factor; more important was communication with clients. For example, at the beginning, I only used Java to write scripts (UI scripts), but the client used Cypress, a relatively lightweight language. I had never learned Cypress before and basically wrote code while looking up information. After writing a few cases, I could master the key syntax quite proficiently. After mastering UI automation, I started learning API automation, mainly using Postman to send requests, write execution scripts, and return data formats. In this part, I needed to communicate a lot with developers because I had to understand the types of returned formats and the parameters being transmitted.

Regarding business aspects, I needed to understand the entire system's business processes, which required a lot of time for summarizing and recording in the early stages. Any uncertainties had to be communicated with developers or other staff promptly. Initially, I recorded every module I worked on in a notebook, accumulating information bit by bit before summarizing it. Gradually, my understanding of the system's processes became clearer. This allowed me to quickly pinpoint issues during script execution and provide accurate solutions.

Another crucial aspect is regular summarization. Every month, I review all the tasks I've completed and list them out. For familiar areas, I can quickly go through them, but if there are new module areas, I conduct exploratory testing in those modules. This is also a method of understanding business.

With the accumulation of technical knowledge and deeper business insights, I can easily complete each task. My abilities have improved, and I have also gained recognition from clients.

Embracing AI to Enhance Work Efficiency

Since 2023, with the evolution of AI technology, during the process of working with clients, they have proposed using AI technologies, among which chatGPT is quite commonly used. In everyday tasks, issues such as code formatting, syntax problems, and element positioning can be resolved very swiftly by chatGPT, greatly enhancing my work efficiency. There's also Rakuten AI, which was still in the testing phase at that time and mainly used for writing and executing test cases using AI. It hasn't been widely adopted in our projects yet. However, from the demonstrations shown by clients, Rakuten AI's execution efficiency is truly impressive. Over ten years, we've evolved from manually writing test cases to now being able to generate many test cases at once with the help of AI, which has increased our efficiency several times over.

In the rapidly evolving technological landscape of 2024, certain technical skills have emerged as highly sought-after by employers across various industries. These skills not only reflect the current state of technology but also anticipate future trends and needs. Here, we delve into the most requested technical skills of the year and explore why their demand is on the rise.

Artificial Intelligence (AI) and Machine Learning (ML)

Artificial intelligence and machine learning are at the forefront of technological innovation, enabling automation, predictive analytics, and personalized experiences across sectors such as healthcare, finance, and retail. According to a report by LinkedIn, AI specialist roles saw a growth rate of 35% in job postings year-over-year. The ability to develop, implement, and manage AI/ML models has become a critical skill, driving businesses to stay competitive and efficient. Companies seek professionals who can harness these technologies to optimize operations, enhance customer experiences, and drive data-driven decision-making.

Data Science and Analytics

In an age where data is often referred to as the new oil, data scientists and analysts play a crucial role in interpreting large datasets to derive actionable insights. A study by IBM predicts that by 2026, the demand for data scientists will grow by 28%. This skill set is vital for optimizing business operations, enhancing customer experiences, and identifying market trends. As organizations continue to collect vast amounts of data, the demand for professionals who can transform this data into valuable information grows exponentially.

Cybersecurity

With cyber threats becoming increasingly sophisticated, the demand for cybersecurity professionals has never been higher. A survey by Cybersecurity Ventures found that 3.5 million unfilled cybersecurity jobs are expected by 2021. Organizations across all industries prioritize protecting sensitive information and maintaining system integrity. Cybersecurity experts are essential for preventing breaches, responding to attacks, and ensuring compliance with regulations. The ongoing digital transformation amplifies the need for skilled professionals to safeguard organizational assets.

Cloud Computing

The shift towards cloud services continues to accelerate due to their flexibility, scalability, and cost-efficiency. Businesses are moving their operations to cloud platforms like AWS, Microsoft Azure, and Google Cloud, creating a high demand for professionals skilled in cloud architecture design, management, and security. According to a report by MarketWatch, the global public cloud computing market size was valued at USD 339.7 billion in 2020. Cloud computing enables companies to innovate faster and respond more dynamically to market changes.

DevOps and Agile Methodologies

To improve software development efficiency and quality, many companies adopt DevOps practices that promote collaboration between development and operations teams. Agile methodologies enable faster delivery and adaptation to change, making these skills highly valuable. A report by GitLab states that 94% of organizations using DevOps report improved performance. Professionals proficient in DevOps and agile methodologies are in demand to streamline development processes and enhance productivity.

Blockchain Technology

Blockchain's potential for secure, transparent transactions extends beyond cryptocurrencies to various applications like supply chain management and voting systems. Organizations need experts to explore and implement blockchain solutions for enhanced security and efficiency. A study by Gartner predicts that blockchain business value will exceed $3 trillion by 2030. The rising demand for blockchain technology reflects its transformative potential across multiple industries.

Internet of Things (IoT)

The proliferation of connected devices underscores the importance of IoT, which enables smarter cities, industrial automation, and personalized consumer experiences. Skilled professionals are required to design, integrate, and manage IoT ecosystems securely. A report by Statista forecasts that the number of IoT devices will reach 30.9 billion by 2025. The growing adoption of IoT drives the demand for experts who can leverage this technology to create innovative solutions.

Robotics Process Automation (RPA)

Businesses automate repetitive tasks using RPA to reduce costs, increase accuracy, and free up human resources for higher-value work. This trend boosts demand for professionals who can develop, deploy, and maintain RPA solutions. According to a report by Grand View Research, the global RPA market size is expected to reach USD 5.06 billion by 2024. As companies strive for operational efficiency, the expertise in RPA becomes increasingly valuable.

Front-End and Back-End Web Development

A strong online presence is crucial for businesses today. Front-end developers focus on user interface and experience, while back-end developers handle server-side logic and databases. Both roles are essential for building and maintaining websites and applications. The continuous evolution of web technologies ensures sustained demand for skilled web developers.

Big Data Engineering

Handling vast amounts of structured and unstructured data requires specialized skills in big data technologies like Hadoop, Spark, and NoSQL databases. Big data engineers play a critical role in storing, processing, and analyzing this data efficiently. A study by Forbes predicts that big data will be worth $274 billion by 2022. As organizations generate more data than ever before, the demand for big data engineering skills remains robust.

The rise of remote work has changed the way we think about work and productivity. With the help of technology, teams can now collaborate from anywhere in the world. However, this newfound flexibility comes with its own set of challenges. Building strong bonds within a remote team is crucial for success, and that's where remote team building comes in. In this article, we will delve into the importance of remote team building and provide some examples of how to strengthen bonds in a virtual world.

Defining Remote Team Building

Remote team building refers to the process of creating a cohesive and collaborative environment within a remote team. It involves activities and strategies that help remote team members get to know each other better, build trust, and improve communication. Remote team building can take many forms, including virtual icebreakers, online games, and even virtual happy hours. The goal is to create a sense of camaraderie and belonging within the team, which can lead to increased productivity, job satisfaction, and retention rates.

Why Remote Team Building Matters

Communication and collaboration are the backbone of any successful team, and remote teams are no exception. However, remote teams face unique challenges when it comes to communication and collaboration. Miscommunications can easily occur over email or chat, and the lack of face-to-face interaction can make it difficult to build trust and rapport. Remote team building activities can help address these challenges by providing opportunities for team members to connect on a personal level, which can lead to better communication and collaboration overall.

Challenges Facing Remote Teams

While the potential of remote teams is immense, they don't come without their set of challenges. Communication can get lost in translation, the nuances of body language and tone being absent in text-based conversations. Trust, a critical element in any team dynamic, might take longer to establish when you're not physically meeting someone. Furthermore, differences in time zones and cultural backgrounds can add layers of complexity to coordination and understanding.

The Ripple Effects of Enhanced Bonds

A well-connected remote team can navigate these pitfalls more effectively. When team members understand each other's strengths, preferences, and quirks, they can tailor their communication accordingly. Trust is no longer an elusive concept but a tangible outcome of consistent, positive interactions. The appreciation of diverse cultures and perspectives becomes a team's strength rather than a source of confusion. And as a result, the team's efficiency, creativity, and overall satisfaction see a noticeable uptick.

Weaving the Bond: Examples of Remote Team Building

To illustrate, consider the impact of simple yet thoughtful activities: A remote book club that sparks intellectual conversations and shared learning; a virtual coffee session where team members connect over non-work related topics, fostering personal bonds; or a collaborative project that requires cross-functional teamwork, highlighting the value of each member's unique skills. These engagements, though seemingly minor, can significantly enhance the emotional fabric of the team.

Conclusion

Shinetech Software is proud to announce that it has achieved Cyber Essentials Plus certification proving its dedication to cyber security and protection from cyber-attacks. Cyber Essentials Plus is an official UK Government-backed, industry-supported certification scheme to help organisations demonstrate operational security against the ever-growing threat of cyber-attacks and a commitment to cyber security.

Assessed and verified through an independent external audit it requires compliance and rigorous testing of our business security controls and processes. The certification also acknowledges our strong security management ethos and procedural framework.

Frank Zhang, UK Managing Director at Shinetech Software says “Achieving the Cyber Essentials Plus certification underscores our commitment to ensuring our cyber security is as strong as possible to protect our customers’ data. We take these responsibilities very seriously and this certification complements our existing ISO 27001 Information Security Management System certification.”.

Andy Landsberg, Cyber Security Manager at Frimley Health NHS Foundation Trust says “We have worked with Shinetech Software over many years and are pleased they have achieved the Cyber Essentials Plus certification in recognition of the controls they have in place and the work they undertake to maintain data security, illustrating their adherence to best practice guidelines.”.

Frimley Health, along with other key partners including Barts Health NHS Trust, Lewisham & Greenwich NHS Trust and Queen Mary University of London, collaborated with Shinetech Software on the industry award winning GDPR compliant Class Attendance Tracker QR (CATQR) digital solution for employers and educational institutions to monitor staff and student attendance in real-time.

Apple and Google recently approved the release of the new CATQR mobile app which is compliant with the latest Apple iOS and Google Android mobile app policy and security guidelines.

Shinetech Software is a Microsoft Gold Certified Partner and Gartner Cool Vendor with delivery centres in London, New York and Sydney supported by over 20 software engineering development centres throughout Asia.

In the rapidly evolving landscape of software development, analyzing machine-generated data is crucial for staying ahead. With the sheer volume and variety of data generated by modern applications and systems, a robust tool like splunk is indispensable. splunk is an industry-leading data analytics and visualization tool designed to handle massive amounts of machine-generated data, offering real-time insights through a centralized dashboard.

What is splunk?

splunk is an innovative platform for data analytics and visualization. It's designed to collect, index, and provide search capabilities across large volumes of machine-generated data. the platform allows developers, analysts, and it professionals to make informed decisions quickly by offering real-time insights from a centralized dashboard.

Roles in software development

log management

software development generates vast amounts of log data daily. splunk specializes in collecting, indexing, and enabling searches across these logs. For instance, if a developer is troubleshooting a specific issue in a web application, they can use splunk to quickly search across all related logs for specific error codes or warnings that are causing the problem. this streamlines the process of identifying and resolving issues.

performance monitoring

application performance is key to user experience. splunk tracks critical performance metrics such as response times, throughput, and error rates. Imagine a scenario where a popular online retail application is experiencing slower load times. By monitoring these metrics in real-time with splunk, the development team can identify and address the root cause, such as a suboptimal database query or a saturated server, before the slowdown affects a larger user base.

security analytics

cybersecurity threats are constantly evolving. splunk excels at monitoring for unusual behavior patterns and potential threats. For example, a financial institution suspects a potential data breach. Splunk can be used to analyze network traffic logs to identify any unauthorized data access attempts or anomalous activities, allowing the security team to respond promptly and mitigate the damage.

data analysis

splunk's true strength lies in its advanced data analysis capabilities. it provides sophisticated analytics, including machine learning models, enabling developers to derive insights from complex datasets. consider a gaming company wanting to improve its game dynamics based on player behavior. splunk can analyze terabytes of gameplay data, employing machine learning to identify patterns and trends that can inform game design decisions.

Why choose splunk over other tools?

splunk offers several advantages over other tools available in the market:

unified dashboard

With splunk, there's no need to switch between multiple interfaces. its unified dashboard aggregates data from various sources, simplifying the data analysis process and saving valuable time.

advanced analytics

built-in machine learning capabilities allow Splunk to deliver insightful analyses that other tools might struggle to match. these analytics go beyond surface-level observations to reveal hidden trends and patterns impacting development decisions.

real-time monitoring

Splunk's real-time monitoring means developers are always aware of the application's status. issues can be identified and addressed proactively, minimizing downtime and enhancing user satisfaction.

pre-built ai models

For teams without extensive machine learning expertise, Splunk's pre-built AI models are incredibly beneficial. they accelerate the deployment of intelligent analytics, reducing the time to value and increasing the return on investment in data analysis projects.

conclusion

As artificial intelligence (AI) becomes increasingly integral to business operations, organizations are seeking ways to streamline their AI software development processes. One platform that has emerged as a powerful tool for this purpose is Splunk. In this blog post, we will explore how Splunk can enhance AI software development, the types of services it offers, why it is important, and why companies should use it when they need to.

How Splunk Helps in AI Software Development

Splunk provides a robust platform for collecting and indexing vast amounts of data from various sources. This is crucial for AI software development, as machine learning algorithms require large datasets to train and improve their performance. With Splunk's real-time analytics capabilities, developers can quickly identify patterns and trends in their data, enabling them to make informed decisions about the direction of their AI projects.

Moreover, Splunk integrates with popular machine learning frameworks like TensorFlow and PyTorch, allowing developers to easily incorporate AI models into their applications. This makes it easier to build intelligent systems that can learn from and adapt to new data. Additionally, Splunk's visualization tools enable developers to create interactive dashboards and reports, making it easy to share insights with stakeholders and communicate the progress of AI projects.

Types of Services Offered by Splunk

Splunk offers a range of services that cater to different aspects of AI software development. Its core functionality involves collecting and indexing data from various sources, including log files, network traffic, and sensor data. Once the data is collected, Splunk's search engine allows users to query and analyze their data using natural language searches, making it easy to identify patterns and trends.

Furthermore, Splunk's reporting and visualization tools enable users to create custom dashboards and reports, providing a clear overview of their data. Its alerting and monitoring features help users stay informed about critical events and system performance issues. By integrating with popular machine learning frameworks, Splunk enables developers to build intelligent systems that can learn from and adapt to new data. Finally, Splunk's security features help organizations monitor their systems for potential vulnerabilities and ensure compliance with relevant regulations.

Why Splunk Is Important

Splunk's scalable architecture allows organizations to process and analyze large volumes of data efficiently, making it an ideal platform for AI software development. Its flexible search and analysis capabilities enable developers to explore their data in new ways, leading to better insights and more effective AI solutions. Moreover, Splunk's collaboration features allow teams to work together more effectively, sharing insights and best practices to drive innovation in AI development.

By reducing the time and resources required for data collection, analysis, and visualization, Splunk helps organizations save money while still delivering high-quality AI solutions. As AI continues to evolve and become more integral to business operations, having a platform like Splunk in place will be essential for staying ahead of the competition and driving innovation.

Conclusion

The advent of the Internet of Things (IoT) has ushered in a new era of convenience and efficiency, particularly within the realm of domestic living. The smart home industry has been a key beneficiary of IoT technology, transforming everyday households into automated environments that enhance comfort, security, and energy efficiency.

Integration of IoT in Smart Homes

Smart homes harness the power of interconnected devices to provide residents with seamless control over various aspects of their living space. From temperature regulation and lighting to security and entertainment, every element of the home can be synergized through IoT technology.

Home Automation Systems: These systems form the backbone of a smart home, allowing devices to communicate with a central hub or directly with a user's smartphone. Via dedicated applications, homeowners can remotely manage their home environment, adjusting settings to suit their preferences even when away from home.

Energy Management: IoT-enabled devices like smart thermostats learn from occupants' schedules and preferences to regulate heating and cooling efficiently. This not only reduces energy bills but also contributes to environmental sustainability.

Enhanced Security: IoT integration extends to home security systems, with smart locks, cameras, and motion sensors providing real-time monitoring and alerts. These systems can be controlled remotely, offering an unprecedented level of security and peace of mind.

Convenience and Personalization: Smart home technology personalizes the living experience, with automated lighting scenarios, music playlists triggered by specific events, and voice-activated assistants that handle daily tasks.

Challenges and Considerations

While IoT holds immense potential for the smart home industry, it is essential to address several challenges to ensure widespread adoption and maximum benefits:

Privacy and Security Concerns: As smart homes collect and transmit sensitive data, robust cybersecurity measures must be put in place to protect against data breaches.

Interoperability and Standardization: With multiple vendors and devices, achieving seamless interoperation between different smart home products is crucial to avoid creating fragmented ecosystems.

Affordability and Accessibility: Making IoT technology more affordable and accessible is key to democratizing smart home benefits across various socioeconomic segments.

Looking Ahead

The future of the smart home industry is intrinsically linked with the advancement of IoT technology. As we continue to innovate and address the challenges faced by this industry, we move closer to realizing the full potential of smart homes. The ultimate goal is to create living spaces that not only enhance comfort and convenience but also promote energy conservation and improve overall quality of life.

Open source and closed source software are two distinct approaches to software development that differ significantly in terms of access, control, transparency, and flexibility. This article aims to provide a comprehensive understanding of these concepts, highlighting their differences through examples and explanations.

Definition of Open Source and Closed Source Software: Open source software (OSS) refers to software whose source code is freely available for modification, distribution, and use by anyone. Conversely, closed source software (CSS) is proprietary software where the source code is not publicly accessible or shared with others.

Accessibility: One of the primary differences between open source and closed source software lies in accessibility. OSS allows anyone to view, modify, and distribute the software's source code. In contrast, CSS is only accessible to the original developer or those who have purchased a license from the developer.

Example: Linux, an open-source operating system, is freely available for anyone to download, modify, and distribute. On the other hand, Microsoft Windows is a closed-source operating system, and its source code is not publicly accessible.

Control and Transparency: Open source software provides greater transparency as anyone can review the code to ensure it does not contain malicious elements or backdoors. This level of scrutiny helps build trust in the software's integrity. In contrast, closed source software lacks this transparency, making it difficult for users to verify the software's security and reliability.

Example: Firefox, an open-source web browser, allows anyone to inspect its source code and contribute to its development. Google Chrome, however, is a closed-source browser, and its inner workings are not publicly accessible.

Customization and Flexibility: Open source software offers greater customization possibilities due to its accessibility. Users can modify the software to suit their specific needs, create derivative works, or even distribute modified versions under different licenses. Closed source software, on the other hand, limits customization options to what the original developer has provided or allowed.

Example: WordPress, an open-source content management system, allows users to customize themes, plugins, and functionality according to their requirements. A closed-source alternative like Wix provides limited customization options without exposing the underlying code.

Security and Licensing: Open source software often benefits from a larger community of developers who continuously review and update the codebase, identifying and fixing potential security vulnerabilities. However, some open source projects may also be targeted by malicious actors looking to exploit vulnerabilities. Closed source software typically undergoes rigorous testing and security audits by the developer before release, providing a higher assurance of security compared to open source alternatives.

Example: The Android operating system, which is partly open source, relies on a large community of contributors to maintain its security. However, it also has a dedicated team at Google responsible for ensuring its security.

Monetization and Support: Closed source software often involves a direct financial transaction between the user and the developer or distributor. This model allows for revenue generation and support services such as warranty, updates, and customer support. Open source software, while free to use, may rely on donations, sponsorships, or commercial offerings to fund development and support.

Example: Adobe Creative Suite, a collection of professional design tools, is a closed source software suite that requires a subscription fee for continued access to updates and support. On the other hand, GIMP, an open-source alternative, is free to use but relies on donations and community support for ongoing development.

In today's digital era, software is integral to virtually every aspect of our lives—from facilitating communication and providing entertainment to enabling education and driving business functionalities. Among the myriad options for software, two categories predominate: open source and closed source. This article explores the reasons behind the frequent comparisons made between these two types of software, elucidates their clear-cut differences, and details the specific benefits each category brings to the table.

Why the Comparison?

People compare open source and closed source software for several reasons:

Cost Implications: Users evaluate whether the free accessibility of open source justifies the potential lack of official support versus the upfront or subscription costs of closed source software with dedicated support channels.

Customization Needs: Different users and organizations have varying requirements for customization. Open source software generally offers greater flexibility in this regard.

Security Concerns: Security is a paramount consideration. Some believe that the transparency and larger review process of open source projects enhance security, while others trust the rigorous testing and control over proprietary code in closed source models.

Development Philosophy: The comparison also reflects differing philosophies about intellectual property, innovation, and community involvement in software development.

Differences Between Open Source and Closed Source Software

Several key differences distinguish open source from closed source software:

Accessibility: Open source allows anyone to view, modify, and distribute the code, whereas closed source code is privately owned and not accessible to the general public.

Control and Transparency: Open source promotes transparency as the development process is public, encouraging trust and scrutiny from the community. Closed source, however, operates under a veil of secrecy regarding its development processes.

Licensing Terms: Open source software is typically licensed to allow modification and redistribution under certain conditions, while closed source licenses restrict such activities.

Advantages of Open Source Software

The merits of open source software include:

Cost-Effectiveness: Open source is often free to use, reducing upfront costs significantly.

Community Support: A large community of developers can provide support, patches, and enhancements.

Transparency and Security: The ability for anyone to inspect the code fosters trust and improves security through collective effort.

Flexibility: Users can customize and adapt the software according to their specific needs.

Advantages of Closed Source Software

Closed source software also presents notable benefits:

Commercial Support: Paid software often comes with professional support services, including warranties and regular updates.

Proven Security Practices: Closed source software undergoes stringent internal security testing and may be less susceptible to exploitation by malicious actors.

Feature Consistency: As development is controlled by a single entity or consortium, feature sets and roadmaps are more predictable and consistent.

Revenue Model: It provides a clear revenue stream for developers, which can lead to sustained investment in the product's development and improvement.

Conclusion

On January 9, 2007, at the Macworld conference held at the Moscone Convention Center in San Francisco, USA, Jobs delivered the most incredible keynote speech of his life, which is also the most fantastic conference in the history of consumer electronics. At the press conference, Jobs released the first-generation iPhone. Since then, the iPhone’s smartphone dynasty has begun. 

It is precise because of the previous success of the iPhone that when “One more thing” appeared on the big screen on June 5, 2023, people knew that the appearance of Apple Vision Pro was about to lead a new wave of technological trends.

1. What new technologies does Vision Pro bring?

The entire body of Vision Pro includes 12 cameras, five sensors, and two 4K Micro OLED displays, which solves the current problems of frame drop and dizziness in many XRs. In Apple’s presentation, it described a very bright future for us. Vision Pro can change communication, writing, work, entertainment, and other scenarios. When immersed in Vision Pro (such as watching a movie), the Micro OLED screen will hide your eyes through the external halo change effect. In addition, Vision Pro adopts the new operating system VisionOS, which has a dedicated application store. For people who wear glasses, Apple and Zeiss have customized optical inserts, which can be magnetically attached to the lenses to meet people’s needs, such as myopia. In terms of battery life: Vision Pro does not have a built-in battery but is powered by an external battery that can provide 2 hours of battery life.

Moreover, the EyeSight system can capture the user’s facial expression in real-time. When someone approaches, it can automatically display the user’s face on the screen. Vision Pro can accurately capture facial expression changes through the face tracking camera and eye movement camera inside the device.

2. Can Vision Pro help us work better ?

The emergence of Vision Pro will significantly promote the popularization of telecommuting. With the help of Vision Pro, desktop computers are no longer needed for office work, and regions no longer restrict the interaction between people. With VR, you can work anywhere.

The arrival of Vision Pro will subvert the working mode of human beings in the future. After waking up every morning with Vision Pro, you can have breakfast at your favorite places worldwide, watch the news you want to watch while having breakfast, or even visit the news scene in person through virtual interaction. After breakfast, you don’t have to drive to the company; you can sit anywhere at home and enter the office mode with Vision Pro. Unlike traditional office methods, you only need to cooperate with your eyes and fingers to complete a day’s work through a virtual screen. It is worth noting that when Apple officially announced the Vision Pro AR device at WWDC 2023, Microsoft, the best contributor to Apple’s ecosystem, also prepared applications for the Vision Pro AR device, including Word, Excel, and Teams. Then we believe a series of Microsoft productivity applications will be adapted to Vision Pro.

3. Vision Pro's privacy protection for users.

Vision Pro incorporates many machine learning technologies, including AI models, to predict your body and brain state, such as the degree of concentration on current affairs and whether your attention is distracted, measured and judged based on the user’s eye movement data, heart rate, muscle activity, blood pressure, brain blood density, and other data. Then, how to ensure the security of these private data will become a difficulty that Apple needs to overcome. In terms of user privacy, Vision Pro will abandon the password login in the PC era or the fingerprint and face recognition methods in the smartphone era and instead adopt a more secure biometric approach – iris recognition with Optic ID. It is understood that Optic can be used for Apple Pay or Apple Store to download applications. The data is encrypted and bound to the device; only the security verification program can access it.

In addition, Apple has also implanted a variety of privacy protection measures into Vision Pro, such as the surrounding video data of the user’s space, which will involve personal privacy, and these data will be isolated and processed separately in the background of the device.

4. Be the next generation of success.

History is always surprisingly similar. As one of the industry leaders, Apple has once again launched devices that can influence the trend of the times. More than ten years ago, when Steve Jobs said, “One more thing,” many people did not realize that it would change the lives of countless people. Now that we see the arrival of Vision Pro, we should be aware of the vast opportunities that come with Vision Pro: the independent App Store needs enough Apps for users to use, and more productivity tools are expected. Vision Pro has almost unlimited potential for us to develop, but a stricter privacy system will keep more people out. Only those prepared can seize this opportunity and become the next generation of success.

Shinetech’s scalable and dedicated development teams have a shared goal to help facilitate positive change within your business by building tailored software that will respond to your unique business problems promptly and cost-effectively.