#web app automation

[yethiconsulting]

TCoE Framework: Best Practices for Standardized Testing Processes

A Testing Center of Excellence (TCoE) framework focuses on unifying and optimizing testing processes across an organization. By adopting standardized practices, businesses can improve efficiency, consistency, and quality while reducing costs and redundancies.

Define Clear Objectives and Metrics

Set measurable goals for the TCoE, such as improved defect detection rates or reduced test cycle times. Establish key performance indicators (KPIs) to monitor progress and ensure alignment with business objectives.

Adopt a Robust Testing Framework

Use modular and reusable components to create a testing framework that supports both manual and automated testing. Incorporate practices like data-driven and behavior-driven testing to ensure flexibility and scalability.

Leverage the Right Tools and Technologies

Standardize tools for test automation, performance testing, and test management across teams. Integrate AI-driven tools to enhance predictive analytics and reduce test maintenance.

Focus on Skill Development

Provide continuous training to ensure teams stay updated with the latest testing methodologies and technologies. Encourage certifications and cross-functional learning.

Promote Collaboration and Knowledge Sharing

Foster collaboration between development, QA, and operations teams. Establish a knowledge repository for sharing test scripts, results, and best practices.

By implementing these best practices, organizations can build a high-performing TCoE framework that ensures seamless, standardized, and efficient testing processes.

[abathurofficial]

Abathur

At Abathur, we believe technology should empower, not complicate.

Our mission is to provide seamless, scalable, and secure solutions for businesses of all sizes. With a team of experts specializing in various tech domains, we ensure our clients stay ahead in an ever-evolving digital landscape.

Why Choose Us? Expert-Led Innovation – Our team is built on experience and expertise. Security First Approach – Cybersecurity is embedded in all our solutions. Scalable & Future-Proof – We design solutions that grow with you. Client-Centric Focus – Your success is our priority.

[j-esbian]

incredible that the zillow app does not have a messages tab even though it has a messaging function

[techblogs4u]

The Future of Custom Web Applications in an AI-Driven World

Custom web applications are evolving at a rapid pace, especially as artificial intelligence continues reshaping how businesses operate online. In 2025, AI is not just an add-on but is at the core of modern web applications, driving both development and user experiences to new heights.

Smarter Development and Personalization

AI-powered tools have revolutionized the way web applications are built. Developers now rely on intelligent coding assistants like GitHub Copilot and OpenAI Codex, which reduce repetitive coding and automate bug detection. According to recent surveys, up to 80 percent of developers report time savings and better code quality when using AI tools. This means businesses can release new features faster and respond quickly to user feedback.

Applications are also becoming highly personalized. AI analyzes each user’s real-time interactions to serve up targeted content, suggestions, and even layouts. For example, e-commerce platforms use machine learning to offer recommendations that drive sales. AI chatbots now offer instant customer support, resolving almost 70 percent of queries without human help.

Key Trends Shaping the Future

Low-code and no-code platforms are making it much easier for people without programming backgrounds to create and launch applications quickly. This democratization empowers businesses to experiment and innovate rapidly.

Web architectures are shifting towards API-first and serverless models. These changes mean applications can scale more easily and connect seamlessly with external services, which is crucial for businesses seeking agility and reduced operational costs.

Security is getting a big boost from AI as well. Modern web applications use AI-driven tools to detect threats and protect sensitive data. Biometric authentication and real-time threat monitoring have become standard in industries like finance and health.

Sustainability is rising on the priority list. AI helps optimize resource usage, making applications not just faster but also greener, which is important as more users and companies value eco-friendly practices.

What Businesses Should Do

To succeed in the AI-driven era, companies need to define their goals for web applications, prioritize user privacy, and choose the right mix of AI tools for their needs. Testing AI features on a small scale helps refine strategy before going all-in.

Conclusion

The future of custom web applications is intelligent, agile, and user-focused. AI is streamlining development, powering personalization, enhancing security, and fostering sustainable innovation. Businesses that embrace these changes will offer richer experiences and stay ahead in an increasingly digital world.

"Curious to dive deeper? Follow our blog for in-depth insights on how AI and automation are transforming custom web app development, making every project smarter and more future-ready."

[pranit0207]

Leading Digital Marketing Agency in Nashik - Aquil Tech Labs

Aquil Tech Labs is a 360-degree solution provider agency in Nashik, India specializing in digital marketing, branding, SEO, development, and design, as well as using pinpoints for the sustainability and continuing expansion of your business or industry. Our professionals help your business reach all of its global expansion objectives while successfully marketing your brands online.  Our goal is to use our experience and ethical practices to create user-friendly, results-driven websites and marketing campaigns. Aquil Tech Labs have been a proud solution provider agency in Digital Marketing, Branding, SEO, Development Designing, and many other aspects of your business / enterprise for the past decade and a half.

[vasundhara-infotech]

Grok vs Siri vs Google Assistant: Who Wins in 2025?

[jcmarchi]

China's MCP adoption: AI assistants that actually do things

New Post has been published on https://thedigitalinsider.com/chinas-mcp-adoption-ai-assistants-that-actually-do-things/

China's MCP adoption: AI assistants that actually do things

China’s tech companies will drive adoption of the MCP (Model Context Protocol) standard that transforms AI assistants from simple chatbots into powerful digital helpers.

MCP works like a universal connector that lets AI assistants interact directly with favourite apps and services – enabling them to make payments, book appointments, check maps, and access information on different platforms on users’ behalves.

As reported by the South China Morning Post, companies like Ant Group, Alibaba Cloud, and Baidu are deploying MCP-based services and positioning AI agents as the next step, after chatbots and large language models. But will China’s MCP adoption truly transform the AI landscape, or is it simply another step in the technology’s evolution?

Why China’s MCP adoption matters for AI’s evolution

The Model Context Protocol was initially introduced by Anthropic in November 2024, at the time described as a standard that connects AI agents “to the systems where data lives, including content repositories, business tools and development environments.”

MCP serves as what Ant Group calls a “USB-C port for AI applications” – a universal connector allowing AI agents to integrate with multiple systems.

The standardisation is particularly significant for AI agents like Butterfly Effect’s Manus, which are designed to autonomously perform tasks by creating plans consisting of specific subtasks using available resources.

Unlike traditional chatbots that just respond to queries, AI agents can actively interact with different systems, collect feedback, and incorporate that feedback into new actions.

Chinese tech giants lead the MCP movement

China’s MCP adoption by tech leaders highlights the importance placed on AI agents as the next evolution in artificial intelligence:

Ant Group, Alibaba’s fintech affiliate, has unveiled its “MCP server for payment services,” that lets AI agents connect with Alipay’s payment platform. The integration allows users to “easily make payments, check payment statuses and initiate refunds using simple natural language commands,” according to Ant Group’s statement.

Additionally, Ant Group’s AI agent development platform, Tbox, now supports deployment of more than 30 MCP services currently on the market, including those for Alipay, Amap Maps, Google MCP, and Amazon Web Services’ knowledge base retrieval server.

Alibaba Cloud launched an MCP marketplace through its AI model hosting platform ModelScope, offering more than 1,000 services connecting to mapping tools, office collaboration platforms, online storage services, and various Google services.

Baidu, China’s leading search and AI company, has indicated that its support for MCP would foster “abundant use cases for [AI] applications and solutions.”

Beyond chatbots: Why AI agents represent the next frontier

China’s MCP adoption signals a shift in focus from large language models and chatbots to more capable AI agents. As Red Xiao Hong, founder and CEO of Butterfly Effect, described, an AI agent is “more like a human being” compared to how chatbots perform.

The agents not only respond to questions but “interact with the environment, collect feedback and use the feedback as a new prompt.” This distinction is held to be important by companies driving progress in AI.

While chatbots and LLMs can generate text and respond to queries, AI agents can take actions on multiple platforms and services. They represent an advance from the limited capabilities of conventional AI applications toward autonomous systems capable of completing more complex tasks with less human intervention.

The rapid embrace of MCP by Chinese tech companies suggests they view AI agents as a new avenue for innovation and commercial opportunity that go beyond what’s possible with existing chatbots and language models.

China’s MCP adoption could position its tech companies at the forefront of practical AI implementation. By creating standardised ways for AI agents to interact with services, Chinese companies are building ecosystems where AI could deliver more comprehensive experiences.

Challenges and considerations of China’s MCP adoption

Despite the developments in China’s MCP adoption, several factors may influence the standard’s longer-term impact:

International standards competition. While Chinese tech companies are racing to implement MCP, its global success depends on widespread adoption. Originally developed by Anthropic, the protocol faces potential competition from alternative standards that might emerge from other major AI players like OpenAI, Google, or Microsoft.

Regulatory environments. As AI agents gain more autonomy in performing tasks, especially those involving payments and sensitive user data, regulatory scrutiny will inevitably increase. China’s regulatory landscape for AI is still evolving, and how authorities respond to these advancements will significantly impact MCP’s trajectory.

Security and privacy. The integration of AI agents with multiple systems via MCP creates new potential vulnerabilities. Ensuring robust security measures across all connected platforms will be important for maintaining user trust.

Technical integration challenges. While the concept of universal connectivity is appealing, achieving integration across diverse systems with varying architectures, data structures, and security protocols presents significant technical challenges.

The outlook for China’s AI ecosystem

China’s MCP adoption represents a strategic bet on AI agents as the next evolution in artificial intelligence. If successful, it could accelerate the practical implementation of AI in everyday applications, potentially transforming how users interact with digital services.

As Red Xiao Hong noted, AI agents are designed to interact with their environment in ways that more closely resemble human behaviour than traditional AI applications. The capacity for interaction and adaptation could be what finally bridges the gap between narrow AI tools and the more generalised assistants that tech companies have long promised.

See also: Manus AI agent: breakthrough in China’s agentic AI

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[dwellfoxllc]

Best IT Consulting Company In Indore | Dwellfox

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Team up with Dwellfox for cutting-edge IT strategies customized to your requirements. Get in touch with us today to elevate your business to the next level.

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[itcompanyinindia]

[yethiconsulting]

Enhancing Your Agile Workflow with UI Automation Testing

UI automation testing is a powerful enabler for Agile workflows, ensuring fast-paced development cycles while maintaining software quality. Here’s how it enhances Agile processes:

Faster Feedback Loops

Agile emphasizes continuous feedback. Automated UI tests integrated into CI/CD pipelines provide instant feedback on new code, enabling quicker bug fixes.

Increased Test Coverage

Manual testing can’t keep up with Agile’s rapid iterations. Automation ensures comprehensive coverage of repetitive test cases, freeing up manual testers for exploratory testing.

Early Defect Detection

Automated regression testing helps identify issues as soon as they arise, reducing the cost and effort of fixing bugs later in the cycle.

Support for Frequent Releases

Automation ensures that changes are tested across builds, supporting Agile's frequent delivery and deployment goals without compromising quality.

Improved Collaboration

Shared test scripts and results foster better collaboration among developers, testers, and product owners, aligning with Agile’s cross-functional team approach.

Efficiency in Regression Testing

As Agile projects evolve, regression tests grow larger. Automation handles this efficiently, ensuring older functionalities remain intact.

By incorporating UI automation into Agile workflows, teams can maintain the speed and adaptability of Agile while ensuring robust and reliable software delivery.

[ishivax]

iShivax, established in 2019, is a leading global IT solutions provider specializing in software, web, and mobile app development, as well as IoT and automation services. With offices in the USA, India, Canada, and Dubai, they offer end-to-end solutions to clients across over 25 countries. Their mission is to transform business perceptions into reality through technological innovation and a client-centric approach. iShivax has been recognized with several industry awards, including the Tech Innovator Award and the Global IT Leadership Award, underscoring their commitment to excellence and client satisfaction.

[ibrinfotech2024]

IBR Infotech offers custom pharmacy software solutions in New York, designed to streamline pharmacy operations and enhance patient care. Our solutions include prescription management, inventory tracking, automated billing, e-prescriptions, and compliance management to ensure smooth and efficient workflows. We integrate AI-powered analytics, telemedicine support, and multi-store management for modern pharmacies. Whether you're an independent pharmacy or a large healthcare provider, our secure and scalable software solutions help improve accuracy, reduce errors, and enhance customer experience. Optimize your pharmacy operations with IBR Infotech—contact us today!

[aristonitservices]

How AI and Automation Are Reshaping On-Demand Services

The on-demand economy is thriving. From hailing a cab to getting groceries delivered, convenience is king, and technology is the backbone. The integration of artificial intelligence (AI) and automation is transforming on-demand services, creating seamless user experiences, and improving operational efficiency like never before.

This evolution is not just a trend; it's a paradigm shift that businesses need to embrace to stay competitive. Let’s explore how AI and automation are reshaping the landscape and how you can capitalize on these innovations.

AI-Driven Innovation in On-Demand Services

Smart Matching Algorithms

AI is making it possible to match users with services in real-time based on preferences, behavior, and location. For instance, ride-hailing apps now use AI to optimize routes and reduce wait times, improving both customer satisfaction and driver efficiency.

Personalized Recommendations

Imagine opening your favorite food delivery app and being greeted with meal suggestions based on your past orders and dietary preferences. AI is turning this into a reality, offering hyper-personalized experiences that boost user engagement and loyalty.

Predictive Analytics for Inventory Management

AI-powered analytics are helping on-demand services like grocery delivery apps predict demand, reduce waste, and ensure that inventory levels meet customer needs without delays.

Automation: The Key to Seamless Operations

Order Fulfillment

Automated systems are now managing everything from order placement to delivery tracking, reducing errors and speeding up the process. Delivery drones and autonomous vehicles are the next big thing, turning automation dreams into reality.

Customer Support

AI chatbots are handling millions of queries simultaneously, providing instant assistance and freeing up human agents to focus on complex issues. This enhances customer satisfaction while reducing operational costs.

Dynamic Pricing

Automation ensures pricing strategies adapt to real-time demand and supply changes, ensuring businesses maximize profits without alienating customers.

Industries Adopting AI and Automation in On-Demand Services

Healthcare

Telemedicine platforms now offer automated appointment scheduling, AI-driven diagnosis tools, and medication delivery, revolutionizing patient care.

Travel

From automated itinerary planning to real-time travel updates, the integration of AI and automation is enhancing the traveler’s journey.

Logistics and Delivery

Courier and parcel delivery services are leveraging AI to optimize routes, predict delivery times, and ensure packages reach their destination faster than ever.

Beauty and Home Services

AI-driven apps are reshaping how customers book services, offering seamless appointment scheduling and real-time updates on service availability.

The Role of Blockchain in Enhancing Trust

While AI and automation streamline operations, blockchain adds a layer of transparency and security. In industries like healthcare and logistics, where data integrity is paramount, blockchain is becoming indispensable. For example, tracking pharmaceutical delivery or ensuring service transactions' authenticity is now more reliable than ever.

How Ariston IT Services Can Help You Lead the Way

Ariston IT Services specializes in crafting on-demand platforms that leverage AI and automation to deliver cutting-edge solutions. From grocery delivery and cab booking apps to telemedicine and beauty service platforms, we bring innovation to the forefront.

We also integrate blockchain technology for businesses looking to enhance trust and security in their operations, ensuring that your platform remains a step ahead in this competitive market.

Seize the Opportunity

AI and automation are no longer optional—they’re essential for businesses aiming to dominate the on-demand economy. By investing in these technologies today, you’re not just improving efficiency; you’re setting your business up for long-term success.

Ready to transform your on-demand service platform? Let Ariston IT Services guide you on this journey.

[vasundhara-infotech]

What is NLP? What is the Role of NLP in AI?