#Automated Performance Testing for Apps

[tudip123]

Unveiling the Essence of Mobile App Performance Testing: Ensuring a Seamless User Experience

In the dynamic world of mobile applications, user experience is paramount. Users today demand fast, responsive, and glitch-free applications, making Mobile App Performance Testing an indispensable phase in the development life cycle. In this blog, we explore the significance of mobile app performance testing, its key components, and best practices to ensure your app stands out in the competitive mobile landscape.

Introduction: The Need for Speed

Mobile app users are notoriously impatient. A sluggish app can lead to user frustration, negative reviews, and, ultimately, abandonment. Mobile App Performance Testing is the proactive approach to identify and eliminate bottlenecks, ensuring your app not only meets but exceeds user expectations.

Why Mobile App Performance Testing Matters:

1.Optimal User Experience:

Performance testing helps ensure that your mobile app responds promptly to user interactions, creating a smooth and enjoyable user experience.

2. App Stability:

Identifying and addressing performance issues in advance ensures your app remains stable under various conditions, reducing crashes and unexpected behavior.

  3.Customer Retention:

Users are more likely to stay loyal to apps that consistently perform well. Performance testing aids in retaining users and building a positive reputation.

4. Competitive Edge:

Outperforming competitors in terms of speed and reliability can set your app apart in a crowded marketplace.

Key Components of Mobile App Performance Testing:

1. Load Testing:

Assess the app’s performance under expected and peak loads to ensure it can handle user traffic without performance degradation.

 2. Stress Testing:

Push the app beyond its limits to identify breaking points and weaknesses under extreme conditions.

 3. Response Time Testing:

Measure the time it takes for the app to respond to user actions, ensuring swift and seamless interactions.

4.Memory and CPU Usage Testing:

Monitor and optimize memory and CPU usage to prevent resource exhaustion that can lead to slowdowns and crashes.

Best Practices for Effective Mobile App Performance Testing:

1. Start Early:

Incorporate performance testing from the early stages of development to catch and address issues before they escalate.

 2. Test on Real Devices:

Emulators are useful, but testing on real devices is crucial to simulate real-world scenarios accurately.

3. Continuous Testing:

Implement continuous performance testing throughout the development life cycle to catch regressions and ensure ongoing optimization.

4. Monitoring in Production:

Utilize monitoring tools to keep track of the app’s performance in real-world scenarios post-launch, enabling quick responses to emerging issues.

Conclusion: Delivering Excellence in Performance

In the competitive realm of mobile applications, performance can be the differentiator between success and obscurity. Mobile App Performance Testing is not just a quality assurance checkpoint; it’s a commitment to delivering an exceptional user experience. By embracing performance testing as an integral part of your development process, you ensure that your mobile app not only meets but exceeds user expectations, securing its place in the hearts and devices of users worldwide.

Click the link below to learn more about the blog Mobile App Performance Testing: 

[yethiconsulting]

Common Pitfalls in Software Testing and How to Avoid Them

Software testing is crucial for delivering quality products, but several common pitfalls can undermine its effectiveness. One major issue is inadequate test planning, where unclear objectives and vague requirements lead to incomplete coverage. To avoid this, involve QA early in the development cycle and align test cases with well-defined acceptance criteria.

Another pitfall is over-reliance on manual testing, which can slow down releases and introduce human errors. Embrace automation for repetitive and regression tests to increase efficiency and reliability. However, automation without strategy—like automating unstable or frequently changing features—can waste time. Focus on stable, high-impact areas first.

Lack of collaboration between developers, testers, and product teams often leads to misunderstandings and missed bugs. Encourage cross-functional communication and adopt practices like Behavior-Driven Development (BDD) or Agile ceremonies to ensure alignment.

Additionally, ignoring edge cases or performance testing issues can result in production failures. Include negative, boundary, and load tests in your strategy. Lastly, poor defect documentation can delay fixes—ensure bugs are reported with clear steps, logs, and screenshots.

By recognizing these pitfalls and implementing proactive measures, teams can improve test efficiency, reduce bugs in production, and deliver high-quality software consistently.

[accessiblemindstech]

Embark on a global bug hunt with our SDET team, leveraging cloud-based mobile testing to ensure your app achieves flawless performance across all devices and networks. With cutting-edge tools and a meticulous approach, we identify and eliminate bugs before they impact your users. https://rb.gy/jfueow #SDET #BugHunt #CloudTesting #MobileAppQuality #FlawlessPerformance SDET Tech Pvt. Ltd.

[jbfly46]

Your All-in-One AI Web Agent: Save $200+ a Month, Unleash Limitless Possibilities!

Imagine having an AI agent that costs you nothing monthly, runs directly on your computer, and is unrestricted in its capabilities. OpenAI Operator charges up to $200/month for limited API calls and restricts access to many tasks like visiting thousands of websites. With DeepSeek-R1 and Browser-Use, you:

• Save money while keeping everything local and private.

• Automate visiting 100,000+ websites, gathering data, filling forms, and navigating like a human.

• Gain total freedom to explore, scrape, and interact with the web like never before.

You may have heard about Operator from Open AI that runs on their computer in some cloud with you passing on private information to their AI to so anything useful. AND you pay for the gift . It is not paranoid to not want you passwords and logins and personal details to be shared. OpenAI of course charges a substantial amount of money for something that will limit exactly what sites you can visit, like YouTube for example. With this method you will start telling an AI exactly what you want it to do, in plain language, and watching it navigate the web, gather information, and make decisions—all without writing a single line of code.

In this guide, we’ll show you how to build an AI agent that performs tasks like scraping news, analyzing social media mentions, and making predictions using DeepSeek-R1 and Browser-Use, but instead of writing a Python script, you’ll interact with the AI directly using prompts.

These instructions are in constant revisions as DeepSeek R1 is days old. Browser Use has been a standard for quite a while. This method can be for people who are new to AI and programming. It may seem technical at first, but by the end of this guide, you’ll feel confident using your AI agent to perform a variety of tasks, all by talking to it. how, if you look at these instructions and it seems to overwhelming, wait, we will have a single download app soon. It is in testing now.

This is version 3.0 of these instructions January 26th, 2025.

This guide will walk you through setting up DeepSeek-R1 8B (4-bit) and Browser-Use Web UI, ensuring even the most novice users succeed.

What You’ll Achieve

By following this guide, you’ll:

1. Set up DeepSeek-R1, a reasoning AI that works privately on your computer.

2. Configure Browser-Use Web UI, a tool to automate web scraping, form-filling, and real-time interaction.

3. Create an AI agent capable of finding stock news, gathering Reddit mentions, and predicting stock trends—all while operating without cloud restrictions.

A Deep Dive At ReadMultiplex.com Soon

We will have a deep dive into how you can use this platform for very advanced AI use cases that few have thought of let alone seen before. Join us at ReadMultiplex.com and become a member that not only sees the future earlier but also with particle and pragmatic ways to profit from the future.

System Requirements

Hardware

• RAM: 8 GB minimum (16 GB recommended).

• Processor: Quad-core (Intel i5/AMD Ryzen 5 or higher).

• Storage: 5 GB free space.

• Graphics: GPU optional for faster processing.

Software

• Operating System: macOS, Windows 10+, or Linux.

• Python: Version 3.8 or higher.

• Git: Installed.

Step 1: Get Your Tools Ready

We’ll need Python, Git, and a terminal/command prompt to proceed. Follow these instructions carefully.

Install Python

1. Check Python Installation:

• Open your terminal/command prompt and type:

python3 --version

• If Python is installed, you’ll see a version like:

Python 3.9.7

2. If Python Is Not Installed:

• Download Python from python.org.

• During installation, ensure you check “Add Python to PATH” on Windows.

3. Verify Installation:

python3 --version

Install Git

1. Check Git Installation:

• Run:

git --version

• If installed, you’ll see:

git version 2.34.1

2. If Git Is Not Installed:

• Windows: Download Git from git-scm.com and follow the instructions.

• Mac/Linux: Install via terminal:

sudo apt install git -y # For Ubuntu/Debian

brew install git # For macOS

Step 2: Download and Build llama.cpp

We’ll use llama.cpp to run the DeepSeek-R1 model locally.

1. Open your terminal/command prompt.

2. Navigate to a clear location for your project files:

mkdir ~/AI_Project

cd ~/AI_Project

3. Clone the llama.cpp repository:

git clone https://github.com/ggerganov/llama.cpp.git

cd llama.cpp

4. Build the project:

• Mac/Linux:

make

• Windows:

• Install a C++ compiler (e.g., MSVC or MinGW).

• Run:

mkdir build

cd build

cmake ..

cmake --build . --config Release

Step 3: Download DeepSeek-R1 8B 4-bit Model

1. Visit the DeepSeek-R1 8B Model Page on Hugging Face.

2. Download the 4-bit quantized model file:

• Example: DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf.

3. Move the model to your llama.cpp folder:

mv ~/Downloads/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf ~/AI_Project/llama.cpp

Step 4: Start DeepSeek-R1

1. Navigate to your llama.cpp folder:

cd ~/AI_Project/llama.cpp

2. Run the model with a sample prompt:

./main -m DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf -p "What is the capital of France?"

3. Expected Output:

The capital of France is Paris.

Step 5: Set Up Browser-Use Web UI

1. Go back to your project folder:

cd ~/AI_Project

2. Clone the Browser-Use repository:

git clone https://github.com/browser-use/browser-use.git

cd browser-use

3. Create a virtual environment:

python3 -m venv env

4. Activate the virtual environment:

• Mac/Linux:

source env/bin/activate

• Windows:

env\Scripts\activate

5. Install dependencies:

pip install -r requirements.txt

6. Start the Web UI:

python examples/gradio_demo.py

7. Open the local URL in your browser:

http://127.0.0.1:7860

Step 6: Configure the Web UI for DeepSeek-R1

1. Go to the Settings panel in the Web UI.

2. Specify the DeepSeek model path:

~/AI_Project/llama.cpp/DeepSeek-R1-Distill-Qwen-8B-Q4_K_M.gguf

3. Adjust Timeout Settings:

• Increase the timeout to 120 seconds for larger models.

4. Enable Memory-Saving Mode if your system has less than 16 GB of RAM.

Step 7: Run an Example Task

Let’s create an agent that:

1. Searches for Tesla stock news.

2. Gathers Reddit mentions.

3. Predicts the stock trend.

Example Prompt:

Search for "Tesla stock news" on Google News and summarize the top 3 headlines. Then, check Reddit for the latest mentions of "Tesla stock" and predict whether the stock will rise based on the news and discussions.

--

Congratulations! You’ve built a powerful, private AI agent capable of automating the web and reasoning in real time. Unlike costly, restricted tools like OpenAI Operator, you’ve spent nothing beyond your time. Unleash your AI agent on tasks that were once impossible and imagine the possibilities for personal projects, research, and business. You’re not limited anymore. You own the web—your AI agent just unlocked it! 🚀

Stay tuned fora FREE simple to use single app that will do this all and more.

[aktechworld]

Enhancing Road Safety Through Technology in 2025

Introduction:

In 2025, Canada is accelerating the use of modern technology to improve road safety, especially for new and at-risk drivers. From AI monitoring tools to real-time driving feedback, the licensing system now embraces digital innovation more than ever.

Key Points:

AI-Driven Road Testing Systems: Road test examiners now use AI-equipped tablets to monitor driver behaviour, instantly recording mistakes and issuing pattern-based alerts during exams. This ensures standardized and unbiased assessments.

Telematics Integration for Learners: New learners can opt-in to telematics programs that provide feedback on braking, speeding, and turning. The data, viewable via platforms like licenseprep.ca, helps both drivers and guardians track real-time performance.

Automated Hazard Simulation Training: Simulated environments mimic weather hazards, wildlife crossings, and urban traffic flow—available through certified driver training apps partnered with licenseprep.ca.

Vision Tech Integration: AI-based vision testing devices analyse eye movement and reaction times, ensuring medically fit drivers are licensed and flagged early for issues.

Digital Alerts for High-Risk Drivers: The system now flags repeated offenses and sends automatic digital notices to licensing center's, prompting reassessments or temporary restrictions.

[elementramarketing]

Fuel Your Growth with Performance Marketing

Turn clicks into customers with laser-focused strategies and real-time results.

Introduction: Marketing That Delivers, Not Just Promises

In today’s fast-paced digital landscape, businesses no longer have the luxury of spending blindly on ads and waiting for miracles. What they need is performance marketing—a results-driven approach that focuses on conversions, not just impressions. It's data-backed, ROI-focused, and scalable, making it the future of modern marketing.

🎯 What is Performance Marketing?

Performance marketing is a digital strategy where advertisers pay only for measurable results—be it clicks, leads, sales, or app installs. Unlike traditional branding methods, performance marketing demands proof. Every campaign is trackable, every rupee spent is accountable.

Key components include:

Pay-Per-Click (PPC) advertising

Affiliate marketing

Social media paid campaigns

Native and display ads

Retargeting & programmatic advertising

💡 Why Businesses Love Performance Marketing

Performance marketing offers powerful benefits for brands across industries:

✅ Cost-Effective – No upfront lump sums; pay only for outcomes ✅ Trackable & Transparent – Live dashboards show real-time performance ✅ Highly Targeted – Reach only your ideal audience with pinpoint accuracy ✅ Scalable – Start small, test, and grow based on results ✅ Optimized for ROI – Every ad is backed by metrics that matter

From startups to big brands, everyone wants results—and this strategy delivers.

📈 Lead Generation: The Lifeline of Sales

No leads = no business. Performance marketing supercharges your sales funnel with high-quality, intent-driven leads across platforms:

Google Search & Display Network

Meta (Facebook/Instagram) Ads

LinkedIn for B2B targeting

YouTube & OTT for awareness-based targeting

Landing pages with integrated lead capture forms

By using tools like A/B testing, heatmaps, and behavioral tracking, marketers ensure that visitors convert—not just click.

🔧 Tools & Techniques that Drive Results

The magic lies in optimization. A great campaign uses:

Advanced analytics (Google Analytics, Meta Pixel, UTM tracking)

Retargeting to re-engage bounced traffic

Conversion Rate Optimization (CRO) for better lead quality

Funnel building with precise customer journeys

AI and automation for budget control and ad performance

When campaigns are backed by smart data, results are not left to chance.

🧠 Who Should Use Performance Marketing?

E-commerce brands looking to scale sales

Startups wanting fast market penetration

Service-based businesses aiming for qualified leads

Real estate, education, fintech, and healthcare sectors for niche targeting

Agencies managing multiple client portfolios

🌟 Final Word: Measure More. Waste Less.

Marketing budgets are shrinking, but expectations are growing. Performance marketing strikes the perfect balance by focusing only on what works. It’s not about shouting louder—it’s about reaching smarter.

🔗 Ready to generate real leads and real growth?

Start your performance marketing journey today!

👉 [Click Here] to explore high-ROI digital strategies!

[stuarttechnologybob]

Which tools can help speed up the Android app development process?

Android App Development Services

In today's modern digital world, the businesses seek for quick time turnaround, without compromising the app's quality and standards as the best alternative. To meet this challenge and face them with extreme care, developers and coders tend to be reliable on specialized tools that streamline each phase of Android app development. Resources tends to aid and boost up their overall operating efficiency, reduce the bugs, and speed up the current development lifecycle.

Essential Tools for Android App Development -

1. Android Studio:

The official and reliable IDE for Android app development, the android studio offers and assist with everything the developers need in one place. With a brilliant code editor, real-time previews, and built-in emulators, it efficiently speeds up writing, testing, and deploying apps.

2. Kotlin and Java Development Kits:

Kotlin kits is one of the commonly used PL for Android apps due to its concise syntax and full interoperability with Java as it supports ease in operations and functioning. As the Kotlin kit in Studio makes the app development process cleaner and quick, minimizing common code errors and usual flaws that rise.

3. Firebase:

Firebase offers a complete backend solution with expertise, including authentication, database, crash reporting, and performance monitoring. As it simplifies the building process from server-side logic and helps speed up the development stage without managing the infrastructure.

4. GitHub & Bitbucket:

Version control tools like GitHub and Bitbucket allow and grant permissions to multiple developers at a time to collaborate efficiently. As these platforms assure smooth code integration and help the teams to detect issues early in development.

5. Gradle:

Gradle tool is one of the powerful build automation tools that helps manage dependencies and automate the build process with its implementation or adaptation into the system. As it is a process to lower down the build times is considered to be vital, which is essential for quick Android app development and smooth operations as the best process.

6. Genymotion:

Genymotion offers fast Android emulation with various device configurations. As iIt's perfect for testing and checking the app's performance across all the different screen sizes and Android versions without any physical devices presence or requirement as its consists features that are made to adaptable and flexible for that too.

7. LeakCanary:

This tool helps detect memory leaks in real-time. By integrating and merging out it early into your project, the developers can maintain the app's stability and reduce the time spent debugging issues later with its implementation.

Expert Support for Efficient Development -

Top companies like Suma Soft, IBM, Cyntexa, and Cignex leverage these tools to deliver high-quality Android apps faster. Their deep experience in Android app development ensures your app is built quickly and performs reliably across devices and user conditions.

[cxt-factory]

Unlock Passive Income through Phone Farming and the Phone Farm Box

With today's technology-reliant society, converting unused smartphones and tablets into trustworthy sources of passive income is now easier than ever. Phone farming allows you to recycle old devices to carry out activities such as viewing ads, filling out surveys, or app testing. Using the revolutionary Phone Farm Box, device management is streamlined, effective, and secure.

What Is Phone Farming?

Phone farming transforms idle mobile phones into earning devices. Rather than having old phones gather dust, you can utilize them to:

Watch Ads & Fill Out Surveys: Get paid for interacting with online content.

Try Out New Apps: Assist developers in refining their products while earning rewards.

Earn Passive Income: Run multiple phones at once to generate maximum revenue with minimal human intervention.

This method not only creates hidden value in your devices but also decreases electronic waste by providing them with an extended life.

Benefit of the Phone Farm Box

The Phone Farm Box is designed to optimize your phone farming business. The major advantages are:

Unified Management: Connects multiple devices to have single-point charging, connectivity, and monitoring.

Increased Efficiency: Real-time performance monitoring and automated maintenance notifications ensure your system always runs well.

Strong Security: Surge protection and secure data protocols protect your devices and profits.

It is simple to scale your operation from a small number of devices to a full-scale phone farm using this centralized solution.

Quick Start Guide to Phone Farming

It is easy to get started:

Gather Devices: Round up your spare smartphones and tablets.

Join Reliable Platforms: Join trusted phone farm platforms with ad-viewing rewards, app testing rewards, and survey rewards.

Integrate with the Phone Farm Box: Get your devices running with the Phone Farm Box for hassle-free management.

Monitor and Expand: Utilize the central dashboard to monitor performance and increase devices as your business expands.

Embrace a New Era of Passive Income

Phone farming, augmented by the Phone Farm Box, turns regular tech into a reliable source of revenue. With this cutting-edge solution, you get to benefit from passive income and unlock the full potential of gadgets you'd otherwise throw away.

[cromediacompany]

Harnessing Passive Income with CRO Strategies: Insights by cro.media

Boost your landing page's effectiveness with CRO principles and maximize conversions.

Source: https://cro.media/insights/ux-ui/crafting-high-performing-landing-pages-cro-principles/

Passive income represents the epitome of working smarter, not harder, with its potential to supplement earnings and build long-term wealth. At cro.media, we believe that passive income ventures, much like Conversion Rate Optimization (CRO), are about maximizing value from every effort. Here's how CRO principles can amplify passive income strategies.

Transforming Traffic Into Conversions

For many passive income ideas, from dropshipping to affiliate marketing, the key to success lies in effective CRO:

Optimized User Flows: Ensure a seamless journey from discovery to purchase with intuitive navigation and clear calls-to-action (CTAs).

A/B Testing: Experiment with landing pages, product descriptions, and CTAs to identify what drives the most conversions.

Data-Driven Insights: Leverage analytics to understand user behavior and refine strategies to align with audience preferences.

By fine-tuning the user experience, CRO transforms passive income ventures into scalable revenue streams.

Passive Income Meets Automation

Automation is central to both CRO and passive income:

Streamlining Workflows: Use tools to automate repetitive tasks, such as email marketing for digital product sales or ad retargeting for affiliate links. Learn more about Shopify app development.

Predictive Analytics: CRO tools can forecast which strategies will yield the best ROI, allowing you to focus on the most lucrative income streams.

Cross-Selling Opportunities: For dropshipping or print-on-demand stores, automated product recommendations can increase average order value.

Automation minimizes manual intervention, keeping passive income truly passive.

Enhancing Credibility and Trust

Trust is a critical CRO factor, especially for passive income models reliant on online sales or investments:

Social Proof: Showcase customer reviews or user-generated content to validate your offerings.

Secure Transactions: Highlight security features, such as encrypted payment systems, to reassure customers.

Professional Design: A visually appealing, functional website fosters credibility and encourages conversions.

"Strong CRO foundations ensure trust remains high, driving repeat engagement and income growth."

Strong CRO foundations ensure trust remains high, driving repeat engagement and income growth. See our Shopify agency services.

Diversification Through Strategic Insights

Just as CRO encourages testing and adaptation, passive income requires diversification:

Experimentation: Test multiple streams, such as affiliate marketing, digital product sales, or REIT investments, to identify the most profitable avenues.

Audience Segmentation: Use CRO principles to segment audiences and tailor offerings, ensuring relevance and resonance with target groups.

Sustainable Scaling: Focus on scalable models like print-on-demand or stock photography, which grow without proportional increases in effort.

Diversified strategies supported by CRO insights reduce risk and maximize passive income potential.

Maximizing Long-Term Gains

CRO's iterative nature aligns perfectly with building sustainable passive income:

Continuous Improvement: Regularly refine strategies based on performance data, from content adjustments to pricing experiments.

Retention Optimization: Implement loyalty programs or subscription models to maintain consistent revenue streams.

Scalability Focus: Invest in scalable tools and platforms that grow alongside your passive income ventures.

"By merging CRO methodologies with passive income strategies, businesses can achieve compounding results over time."

By merging CRO methodologies with passive income strategies, businesses can achieve compounding results over time. Check out our Shopify CRO audit services.

Partner with cro.media for Optimized Income Strategies

At cro.media, we specialize in leveraging CRO to optimize revenue streams, ensuring that every click and interaction contributes to your financial goals. Whether you're launching a dropshipping store or investing in digital assets, our expertise transforms potential into profit. Let’s elevate your passive income journey today.

[dijacrypt]

Revolutionizing DeFi Development: How STON.fi API & SDK Simplify Token Swaps

The decentralized finance (DeFi) landscape is evolving rapidly, and developers are constantly seeking efficient ways to integrate token swap functionalities into their platforms. However, building seamless and optimized swap mechanisms from scratch can be complex, time-consuming, and risky.

This is where STON.fi API & SDK come into play. They provide developers with a ready-to-use, optimized solution that simplifies the process of enabling fast, secure, and cost-effective swaps.

In this article, we’ll take an in-depth look at why developers need efficient swap solutions, how the STON.fi API & SDK work, and how they can be integrated into various DeFi applications.

Why Developers Need a Robust Swap Integration

One of the core functions of any DeFi application is token swapping—the ability to exchange one cryptocurrency for another instantly and at the best possible rate.

But integrating swaps manually is not a straightforward task. Developers face several challenges:

Complex Smart Contract Logic – Handling liquidity pools, slippage, and price calculations requires expertise and rigorous testing.

Security Vulnerabilities – Improperly coded swaps can expose user funds to attacks.

Performance Issues – Slow execution or high gas fees can frustrate users and hurt adoption.

A poorly integrated swap feature can turn users away from a DeFi application, affecting engagement and liquidity. That’s why an efficient, battle-tested API and SDK can make a significant difference.

STON.fi API & SDK: What Makes Them a Game-Changer?

STON.fi has built an optimized API and SDK designed to handle the complexities of token swaps while giving developers an easy-to-use toolkit. Here’s why they stand out:

1. Seamless Swap Execution

Instead of manually routing transactions through liquidity pools, the STON.fi API automates the process, ensuring users always get the best swap rates.

2. Developer-Friendly SDK

For those who prefer working with structured development tools, the STON.fi SDK comes with pre-built functions that remove the need for extensive custom coding. Whether you’re integrating swaps into a mobile wallet, trading platform, or decentralized app, the SDK simplifies the process.

3. High-Speed Performance & Low Costs

STON.fi’s infrastructure is optimized for fast transaction execution, reducing delays and minimizing slippage. Users benefit from lower costs, while developers get a plug-and-play solution that ensures a smooth experience.

4. Secure & Scalable

Security is a major concern in DeFi, and STON.fi’s API is built with strong security measures, protecting transactions from vulnerabilities and ensuring reliability even under heavy traffic.

Practical Use Cases for Developers

1. Building Decentralized Exchanges (DEXs)

STON.fi API enables developers to integrate swap functionalities directly into their DEX platforms without having to build custom liquidity management solutions.

2. Enhancing Web3 Wallets

Crypto wallets can integrate STON.fi’s swap functionality, allowing users to exchange tokens without leaving the wallet interface.

3. Automating Trading Strategies

The API can be used to build automated trading bots that execute swaps based on real-time market conditions, improving efficiency for traders.

4. Scaling DeFi Platforms

For DeFi applications handling high transaction volumes, STON.fi API ensures fast and cost-effective execution, improving user retention.

Why Developers Should Consider STON.fi API & SDK

For developers aiming to create efficient, user-friendly, and scalable DeFi applications, STON.fi offers a robust solution that eliminates the complexities of manual integrations.

Saves Development Time – Reduces the need for custom swap coding.

Improves Security – Pre-tested smart contracts minimize vulnerabilities.

Enhances User Experience – Faster swaps create a smoother, more reliable platform.

Optimizes Performance – Low latency and cost-efficient execution ensure better outcomes.

Whether you’re working on a new DeFi project or improving an existing platform, STON.fi’s API & SDK provide a solid foundation to enhance functionality and scalability.

By leveraging STON.fi’s tools, developers can focus on building innovative features, rather than getting caught up in the technical challenges of token swaps.

[rachellaurengray]

AI & Tech-Related Jobs Anyone Could Do

Here’s a list of 40 jobs or tasks related to AI and technology that almost anyone could potentially do, especially with basic training or the right resources:

Data Labeling/Annotation

AI Model Training Assistant

Chatbot Content Writer

AI Testing Assistant

Basic Data Entry for AI Models

AI Customer Service Representative

Social Media Content Curation (using AI tools)

Voice Assistant Testing

AI-Generated Content Editor

Image Captioning for AI Models

Transcription Services for AI Audio

Survey Creation for AI Training

Review and Reporting of AI Output

Content Moderator for AI Systems

Training Data Curator

Video and Image Data Tagging

Personal Assistant for AI Research Teams

AI Platform Support (user-facing)

Keyword Research for AI Algorithms

Marketing Campaign Optimization (AI tools)

AI Chatbot Script Tester

Simple Data Cleansing Tasks

Assisting with AI User Experience Research

Uploading Training Data to Cloud Platforms

Data Backup and Organization for AI Projects

Online Survey Administration for AI Data

Virtual Assistant (AI-powered tools)

Basic App Testing for AI Features

Content Creation for AI-based Tools

AI-Generated Design Testing (web design, logos)

Product Review and Feedback for AI Products

Organizing AI Training Sessions for Users

Data Privacy and Compliance Assistant

AI-Powered E-commerce Support (product recommendations)

AI Algorithm Performance Monitoring (basic tasks)

AI Project Documentation Assistant

Simple Customer Feedback Analysis (AI tools)

Video Subtitling for AI Translation Systems

AI-Enhanced SEO Optimization

Basic Tech Support for AI Tools

These roles or tasks could be done with minimal technical expertise, though many would benefit from basic training in AI tools or specific software used in these jobs. Some tasks might also involve working with AI platforms that automate parts of the process, making it easier for non-experts to participate.

[yethiconsulting]

How AI is Shaping the Future of Web Automation Testing

Introduction:

Briefly introduce the role of AI in transforming industries.

Highlight its emerging impact on web automation testing.

Enhancing Test Automation Efficiency

Discuss how AI optimizes test case generation and execution.

Mention AI-powered tools for smart test script creation.

Self-Healing Test Scripts

Explain how AI helps maintain test scripts by dynamically adapting to UI changes.

Reduce the need for manual script updates.

Advanced Defect Detection

Highlight AI’s ability to identify patterns and anomalies.

Leverage predictive analytics for proactive bug fixing.

Improved Test Coverage with AI

Discuss how AI ensures comprehensive test coverage.

Utilize machine learning to prioritize high-risk areas for testing.

Future of Web Testing with AI

Explore emerging trends like autonomous testing and AI-driven test analytics.

Discuss potential integration of AI with DevOps.

Conclusion:

Summarize the advantages of AI in web testing.

Encourage embracing AI to stay competitive in QA.

[accessiblemindstech]

By ensuring your software is meticulously tested for global readiness, we help you deliver seamless user experiences across diverse languages and cultures. Let's transform your product into a global phenomenon, reaching audiences far and wide with precision and reliability. https://bit.ly/3EKzvs2 #SDET #GlobalProduct #LanguageGap #SoftwareTesting #UserExperience #Localization SDET Tech

[christianbale121]

AI Agent Development: How to Create Intelligent Virtual Assistants for Business Success

In today's digital landscape, businesses are increasingly turning to AI-powered virtual assistants to streamline operations, enhance customer service, and boost productivity. AI agent development is at the forefront of this transformation, enabling companies to create intelligent, responsive, and highly efficient virtual assistants. In this blog, we will explore how to develop AI agents and leverage them for business success.

Understanding AI Agents and Virtual Assistants

AI agents, or intelligent virtual assistants, are software programs that use artificial intelligence, machine learning, and natural language processing (NLP) to interact with users, automate tasks, and make decisions. These agents can be deployed across various platforms, including websites, mobile apps, and messaging applications, to improve customer engagement and operational efficiency.

Key Features of AI Agents

Natural Language Processing (NLP): Enables the assistant to understand and process human language.

Machine Learning (ML): Allows the assistant to improve over time based on user interactions.

Conversational AI: Facilitates human-like interactions.

Task Automation: Handles repetitive tasks like answering FAQs, scheduling appointments, and processing orders.

Integration Capabilities: Connects with CRM, ERP, and other business tools for seamless operations.

Steps to Develop an AI Virtual Assistant

1. Define Business Objectives

Before developing an AI agent, it is crucial to identify the business goals it will serve. Whether it's improving customer support, automating sales inquiries, or handling HR tasks, a well-defined purpose ensures the assistant aligns with organizational needs.

2. Choose the Right AI Technologies

Selecting the right technology stack is essential for building a powerful AI agent. Key technologies include:

NLP frameworks: OpenAI's GPT, Google's Dialogflow, or Rasa.

Machine Learning Platforms: TensorFlow, PyTorch, or Scikit-learn.

Speech Recognition: Amazon Lex, IBM Watson, or Microsoft Azure Speech.

Cloud Services: AWS, Google Cloud, or Microsoft Azure.

3. Design the Conversation Flow

A well-structured conversation flow is crucial for user experience. Define intents (what the user wants) and responses to ensure the AI assistant provides accurate and helpful information. Tools like chatbot builders or decision trees help streamline this process.

4. Train the AI Model

Training an AI assistant involves feeding it with relevant datasets to improve accuracy. This may include:

Supervised Learning: Using labeled datasets for training.

Reinforcement Learning: Allowing the assistant to learn from interactions.

Continuous Learning: Updating models based on user feedback and new data.

5. Test and Optimize

Before deployment, rigorous testing is essential to refine the AI assistant's performance. Conduct:

User Testing: To evaluate usability and responsiveness.

A/B Testing: To compare different versions for effectiveness.

Performance Analysis: To measure speed, accuracy, and reliability.

6. Deploy and Monitor

Once the AI assistant is live, continuous monitoring and optimization are necessary to enhance user experience. Use analytics to track interactions, identify issues, and implement improvements over time.

Benefits of AI Virtual Assistants for Businesses

1. Enhanced Customer Service

AI-powered virtual assistants provide 24/7 support, instantly responding to customer queries and reducing response times.

2. Increased Efficiency

By automating repetitive tasks, businesses can save time and resources, allowing employees to focus on higher-value tasks.

3. Cost Savings

AI assistants reduce the need for large customer support teams, leading to significant cost reductions.

4. Scalability

Unlike human agents, AI assistants can handle multiple conversations simultaneously, making them highly scalable solutions.

5. Data-Driven Insights

AI assistants gather valuable data on customer behavior and preferences, enabling businesses to make informed decisions.

Future Trends in AI Agent Development

1. Hyper-Personalization

AI assistants will leverage deep learning to offer more personalized interactions based on user history and preferences.

2. Voice and Multimodal AI

The integration of voice recognition and visual processing will make AI assistants more interactive and intuitive.

3. Emotional AI

Advancements in AI will enable virtual assistants to detect and respond to human emotions for more empathetic interactions.

4. Autonomous AI Agents

Future AI agents will not only respond to queries but also proactively assist users by predicting their needs and taking independent actions.

Conclusion

AI agent development is transforming the way businesses interact with customers and streamline operations. By leveraging cutting-edge AI technologies, companies can create intelligent virtual assistants that enhance efficiency, reduce costs, and drive business success. As AI continues to evolve, embracing AI-powered assistants will be essential for staying competitive in the digital era.

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How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration