#ui automation tool

[yethiconsulting]

Greater Focus on Performance Testing Within UI Automation Tools

Performance testing is becoming an integral feature of modern UI automation tools, reflecting the growing demand for applications that deliver seamless and fast user experiences. Traditionally, performance testing and UI testing were handled separately, but advancements in automation tools are bridging this gap.

UI automation tools are increasingly integrating performance testing capabilities, enabling teams to evaluate both functionality and performance in a unified workflow. These UI automation tools can simulate user interactions under various conditions, such as high traffic or slow networks, to measure page load times, responsiveness, and resource usage. This dual-purpose approach ensures that the UI not only functions correctly but also performs optimally under real-world conditions.

Tools like Playwright and Cypress now provide features to capture metrics such as page load speed, time to first paint, and DOM content loading. By incorporating these insights directly into UI tests, teams can identify and address performance bottlenecks earlier in the development cycle.

This trend is particularly relevant in Agile and DevOps environments, where rapid iterations and continuous delivery demand efficient testing. As performance becomes a critical component of user satisfaction, the integration of performance testing within UI automation tools will continue to evolve, driving better application quality and user experiences.

[pixelizes]

How AI & Machine Learning Are Changing UI/UX Design

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing UI/UX design by making digital experiences more intelligent, adaptive, and user-centric. From personalized interfaces to automated design processes, AI is reshaping how designers create and enhance user experiences. In this blog, we explore the key ways AI and ML are transforming UI/UX design and what the future holds.

For more UI/UX trends and insights, visit Pixelizes Blog.

AI-Driven Personalization

One of the biggest changes AI has brought to UI/UX design is hyper-personalization. By analyzing user behavior, AI can tailor content, recommendations, and layouts to individual preferences, creating a more engaging experience.

How It Works:

AI analyzes user interactions, including clicks, time spent, and preferences.

Dynamic UI adjustments ensure users see what’s most relevant to them.

Personalized recommendations, like Netflix suggesting shows or e-commerce platforms curating product lists.

Smart Chatbots & Conversational UI

AI-powered chatbots have revolutionized customer interactions by offering real-time, intelligent responses. They enhance UX by providing 24/7 support, answering FAQs, and guiding users seamlessly through applications or websites.

Examples:

Virtual assistants like Siri, Alexa, and Google Assistant.

AI chatbots in banking, e-commerce, and healthcare.

NLP-powered bots that understand user intent and sentiment.

Predictive UX: Anticipating User Needs

Predictive UX leverages ML algorithms to anticipate user actions before they happen, streamlining interactions and reducing friction.

Real-World Applications:

Smart search suggestions (e.g., Google, Amazon, Spotify).

AI-powered auto-fill forms that reduce typing effort.

Anticipatory design like Google Maps estimating destinations.

AI-Powered UI Design Automation

AI is streamlining design workflows by automating repetitive tasks, allowing designers to focus on creativity and innovation.

Key AI-Powered Tools:

Adobe Sensei: Automates image editing, tagging, and design suggestions.

Figma AI Plugins & Sketch: Generate elements based on user input.

UX Writing Assistants that enhance microcopy with NLP.

Voice & Gesture-Based Interactions

With AI advancements, voice and gesture control are becoming standard features in UI/UX design, offering more intuitive, hands-free interactions.

Examples:

Voice commands via Google Assistant, Siri, Alexa.

Gesture-based UI on smart TVs, AR/VR devices.

Facial recognition & biometric authentication for secure logins.

AI in Accessibility & Inclusive Design

AI is making digital products more accessible to users with disabilities by enabling assistive technologies and improving UX for all.

How AI Enhances Accessibility:

Voice-to-text and text-to-speech via Google Accessibility.

Alt-text generation for visually impaired users.

Automated color contrast adjustments for better readability.

Sentiment Analysis for Improved UX

AI-powered sentiment analysis tools track user emotions through feedback, reviews, and interactions, helping designers refine UX strategies.

Uses of Sentiment Analysis:

Detecting frustration points in customer feedback.

Optimizing UI elements based on emotional responses.

Enhancing A/B testing insights with AI-driven analytics.

Future of AI in UI/UX: What’s Next?

As AI and ML continue to evolve, UI/UX design will become more intuitive, adaptive, and human-centric. Future trends include:

AI-generated UI designs with minimal manual input.

Real-time, emotion-based UX adaptations.

Brain-computer interface (BCI) integrations for immersive experiences.

Final Thoughts

AI and ML are not replacing designers—they are empowering them to deliver smarter, faster, and more engaging experiences. As we move into a future dominated by intelligent interfaces, UI/UX designers must embrace AI-powered design methodologies to create more personalized, accessible, and user-friendly digital products.

Explore more at Pixelizes.com for cutting-edge design insights, AI tools, and UX trends.

[aedininsight]

🚀 Just built a complete SaaS UI/UX from wireframe to code using AI + Penpot — in under 12 hours. No fluff. Just speed, strategy, and smart design. From prompt-based layouts to full exportable code, this is what next-gen digital strategy looks like. Welcome to the era of design bursts ⚡️ #innovation #technology #productivity #digitalmarketing #creativity #future #branding #marketing #startups #entrepreneurship #advertisingandmarketing #socialmedia #personalbranding #careers #personaldevelopment #sustainability #ui #ux #uiux

[mostafizux24]

Smart Home App Design

As smart home technology continues to evolve, the design of smart home apps plays a pivotal role in shaping how users interact with their connected devices. Beyond just being a tool for managing lights, thermostats, or security systems, a truly exceptional smart home app should offer a seamless, personalized experience that adapts to the user’s lifestyle. Achieving this requires an intricate balance of intuitive design, customization, and robust security. Let’s explore the key principles behind creating a unique and engaging smart home app that delivers beyond expectations.

Human-Centered Design for a Connected World

The heart of smart home app design lies in understanding users, their routines, and how they interact with technology. Unlike other apps, smart home solutions are used in dynamic, everyday environments — from waking up to turning off the last light before bed. The goal of the app should be to make these interactions frictionless, blending into the user’s daily rhythm.

A truly unique smart home app simplifies complex actions. For instance, a user shouldn't have to fumble through multiple screens to turn off their home’s lights. Instead, the app can leverage contextual triggers, such as geofencing, to automatically turn off lights when the user leaves home, making manual control nearly invisible. This anticipatory design, where the app proactively adjusts based on user behavior, sets a smart home app apart from traditional, manual controls.

Minimalism Meets Personalization

While smart home technology can seem complicated, the app's design should feel the opposite. The user interface (UI) should embrace minimalism, presenting only the most relevant information and controls. A clutter-free dashboard with clean, modern visuals enhances usability and reduces cognitive load.

However, simplicity doesn’t mean rigidity. Users should have the freedom to personalize their experience according to their preferences. Offering customizable dashboards where users can reorder or prioritize their most-used devices adds a layer of personalization that makes the app feel unique to each home. For example, if a user frequently adjusts the living room thermostat, they can place it front and center, while someone else might prioritize quick access to their home security system.

Another innovative feature would be the inclusion of a visual map of the home, where users can tap specific rooms or areas to access relevant controls. This spatial approach mimics how people think about their living spaces, offering a more natural and intuitive way to navigate their connected devices.

Empowering Users with Adaptive Automation

The future of smart home technology lies in automation, where users can configure routines and scenarios that adapt to their lifestyle. Going beyond simple schedules, a smart home app should leverage machine learning to understand patterns and suggest automations. For example, if the app notices that the user consistently dims the living room lights at a specific time every night, it could suggest automating that task.

Moreover, offering a "Dynamic Mode" — an AI-driven feature that adapts the home environment based on factors like weather, time of day, or even mood — can provide a truly unique experience. Imagine the app automatically adjusting lighting to warmer tones in the evening, syncing with circadian rhythms to promote relaxation, or brightening when a storm is approaching.

Data Privacy as a Design Principle

In the smart home ecosystem, security is not an afterthought — it’s integral to the design. Users need to trust that their personal data and home systems are secure. A forward-thinking smart home app should integrate privacy features directly into the UI, making it transparent how data is used and offering users complete control over permissions.

Multi-layered security features, like biometric authentication or voice recognition, can be included without adding friction to the user experience. A "Privacy Dashboard" could allow users to view and manage connected devices, access logs, and control sharing preferences with ease, providing peace of mind in a connected world.

Designing for Future Growth

Smart homes are evolving rapidly, with new devices, protocols, and systems emerging frequently. An exceptional app design should account for this by being modular and scalable. Future-proofing the app involves creating a design framework that accommodates seamless integration of new devices and third-party services, ensuring the user experience remains cohesive, even as the ecosystem expands.

Conclusion

Creating a smart home app that stands out requires more than just connecting devices — it’s about crafting an intuitive, personalized experience that enhances the user’s daily life. By prioritizing human-centered design, embracing personalization, leveraging adaptive automation, and ensuring robust security, designers can create an app that doesn’t just serve a function, but redefines how people interact with their living spaces. In a world where technology is increasingly integrated into our homes, the smart home app has the potential to become the central hub of modern, connected living — a tool that not only simplifies tasks but anticipates needs, creating a truly intelligent home.

[farmernoah]

Ꜥ My Stardew Modlist ❛.⌇

Notes: I did not put the mods dependencies on this list, so please check them on the modpage before downloading!

❲ "...❀

↳ Buildings ¡๑

Elle's Town Buildings

Farm Building - Planting Hall

Nano's Countryside Farm Buildings

↳ Clothing ¡๑

Churpy's Vivid Hairstyles - Flower Garden Set

Luny's Salon - Short Hairstyles

Bloom Collection

Harvest Collection

Wildwood Collection

Gentleman's Collection

Ethereal Collection

Fungi Collection

Shire Collection

↳ Crafting ¡๑

Better Crafting

Lun's Paths

Nano's Garden Style Craftables

Bog's Witchy Fences

↳ Expansions ¡๑

East Scarp | Nyapu-Style Portraits

Ridgeside Village | Nyapu-Style Portraits

Stardew Valley Expanded | Nyapu-Style Portraits

Sunberry Village | Nyapu-Style Portraits

Wildflour's Atelier Goods | Nyapu-Style Portraits

↳ Custom NPCs ¡๑

The Bear Family (East Scarp) | Prawnguin's Portraits

Lavril (East Scarp) | Nyapu-Style Portraits

Nora The Herpetologist (East Scarp) | Nyapu-Style Portraits Spirits Eve

Lurking in the Dark (East Scarp)

Sword and Sorcery (East Scarp) | Nyapu-Style Portraits + Cirrus, Dandelion and Roslin

Dao (Sunberry Village)

Lani (Sunberry Village) | Nyapu-Style Portraits

Wren the Plumber (Sunberry Village) | Nyapu-Style Portraits

Jonghyuk and Spanner (Sunberry Village)

Ripley the Farmer (Sunberry Village)

Rose and the Alchemist (Sunberry Village) | Nyapu-Style Portraits

Always Raining in the Valley (Sunberry Village)

Always Raining in the Valley Kids

↳ Furniture ¡๑

Cozy Chocolate Kitchen

Cozy Chocolate Furniture

Cozy Chocolate Walls and Floors

Green Grove Furniture

PCs Rattan Furniture

HxW Decorative Plants Furniture Set

HxW Farmers Market Furniture - Wildflour Set

Muski's Recolor of HxW Greenhouse Furniture

↳ Gameplay Mechanics ¡๑

Challenging Community Center Bundles (RSV and SVE)

Tree Spread

Mail Services Mod

Walk of Life - Profession Overhaul

Yet Another Harvest With Scythe Mod

Automate

Skull Cavern Elevator

↳ Livestock and Pets ¡๑

Farm Animal Facelift

Livestock Bazaar

Pet Facelift

VC's Raven Pet

↳ Maps ¡๑

Forest Farm of Secrets and Mysteries

Solo Four Corners Farm

Legacy Farm

Aimon's Fancy Shed

Aimon's Fancy Greenhouse

↳ Misc ¡๑

Elle's Cuter Trinkets

Elle's Town Animals

↳ User Interface ¡๑

Happy Home Designer

Range Highlight

To-Dew

Chests Anywhere

Bog's Forest UI Interface

Mini Bars

Lookup Anything

NPC Map Locations

DaisyNiko's Earthy Maps - All in One

↳ Visual and Graphics ¡๑

Vanilla Tweaks Aquarium, Caves, Farming, Interface, Producer and Warrior Edition

Molamole's Nursery (Crib Retexture)

Simple Resources

Bog's Witchy Foliage

Bog's Witchy Tools

Bog's Witchy Weapons

Kitty Channels

DaisyNiko's Earthy Interiors

DaisyNiko's Earthy Recolour

[wickworks]

Crescent Loom & genetic algorithms

I recently got an email about Crescent Loom asking about opening it up with an API or something to fine-tune the parameter space of its bodies & neurons, and I put enough thought into writing a response I thought it'd be worth sharing here too:

The idea of incorporating a genetic algo came up enough during development that I actually made this graphic to respond with:

In short, as a biologist, I've found myself more interested in making a game about intelligent design than evolution (lol). My thoughts have evolved somewhat since the initial "scope" issue — my party line for years has been that I'm making this thing in order to let people get their hands into the guts of biological nervous systems, not to let them press a button and have the computer give them a funny animal. Crescent Loom as a game already struggles with being too close to being a fishbowl screensaver maker (you make your little guy… and then what?) and trying to automate more of the creation process only worsens that problem. I also think that "evolution" games that use genetic algorithms as their primary mechanic are honeypots that trap developers working in this field but never produce compelling gameplay because of a fundamentally cursed problem that the most interesting thing the program is doing is not directly visible to the playe. "It's getting better at doing stuff? I guess?" — it's a fun mechanic to program, not play. And weirdly people almost always only think of doing it for biology-themed games, not ones like Kerbal that are doing the same damn thing but the idea of evolution isn't as close at hand (though there's been some cool demos done for driving games). But I hear where the idea is coming from that searching the parameter space is not a fun process, and the story that "centaurs" of humans running things with a computer taking care of the details outperforming either working alone is an alluring one. Getting an open API with CL handling the UI of weaving a nervous system and allowing it to be modified or plugged into whatever you want would open up a lotta possibilities — genetic algos, sure, but also stuff like CL-made networks driving robots or something. And if you had emailed me like two months ago, that's where my email would have ended, but I recently connected with someone who's done basically that: check out FEAGI and Neurorobotics. Mohammad's been working on a very much more implementation-agnostic neural-net-genetic-algorithm series of projects. Definitely less "pick up and play" than CL, but it's about as close to that open API idea that I think we're ever going to see. He's doing it better than I could ever do with CL, so it's kind of nice to be able to say that that dream's taken care of so I can focus on education & accessibility rather than making it a general-purpose tool.

[pixiefarmer]

my stardew valley mod list

follow my sims acoount @pixiexhicks for sims stufff

disclaimer: i have 300+ mods, these are my main ones. Make sure to have all the requirments for each mod before downloading. if you have an trouble dont hesitate to message me and i'll do my best to help,

user interface

custom menu background | vintage interface v1 | yellog's flowery dialogue | ginger island leafy dialogue | seasonal farmer portrait | seasonal save slots | animated inventory tabs | npc map location | fix pierre's map | sherry's lighter emotes | configurrable cute tool hit mark | fix font option |

tweaks/quality of life

pfmautomate | automate | better beehouse | better chests | better ranching | chest anywhere | fish me | furniture adjustment | harvest seeds | lookup anything | more rain | simple crop label | skull cavern elevator | trash can on horse | smart building | ui info suite 2 |

map visuals & content

candle torch replacer | cuter crops and foraging | daisyniko's tilesheets | flower retexture | faerie garden secret forage locations | immersive locational artifact digspots | kat's high vis fertilzer | seasonal floral bus | season special order board | animated gemstones | realistic wildflower grass | greenhouse entry begone | visable fish | winter grass | whimisical resources | wildflower grass field |

expansions

stardew valley expanded | ridgeside village | lnh's ginger island overhaul | community center reimagined | little red school house | fill the school | immersive saloon |

[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.

[cyle]

How do you determine the results of an A/B test? As in, if users don’t send send feedback, how do you know you’re getting accurate results and not just the responses from those most vocal and willing to find a way to communicate this information?

when we run an A/B test, there's a process behind the scenes putting some percentage of users into buckets, normally named something like "test" and "control". after the test has been running for a few days, we start running automated analytics tools to gather a huge list of metric comparisons using those buckets. that process runs every day for as long as the experiment is running, and it spits out the data into a nice dashboard table so we can easily see what metrics are moving and whether the movement has reached some kind of statistical significance.

those metrics cover a huge range of things, like how often people are using the platform, whether they're making posts, replying and reblogging and liking, following blogs and tags, etc etc etc. for some experiments we add even more granular, specific metrics to watch. for the vertical navigation update, for example, we watched clicks on all of the interface elements that were moving.

this process is quantitative, as in it has nothing to do with the feedback we receive, which is qualitative. most people have no idea they're in an experiment, we usually have a few running every week, changing things you can't even "see", and that's the point. when it comes to UI changes, though, we have to balance both sides of the feedback: the actual experiment results as data, and the feedback people are writing in to us and saying on the platform.

[yethiconsulting]

Integrating Web UI Testing with CI/CD Pipelines: A Step-by-Step Guide

Introduction to CI/CD and Web UI Testing

Begin by explaining Continuous Integration/Continuous Deployment (CI/CD) pipelines and their role in modern software development. Highlight the importance of integrating web UI testing into these pipelines for faster delivery and consistent quality.

Benefits of Integration

Discuss advantages such as automated regression testing, early defect detection, and seamless deployment workflows.

Step 1: Choose the Right Tools

Explain how to select tools for both CI/CD (e.g., Jenkins, GitLab CI, Azure DevOps) and UI automation testing (e.g., Selenium, Playwright, Cypress) that fit your tech stack.

Step 2: Create Robust Automated Test Scripts

Highlight the importance of building reliable and reusable UI test scripts that cover critical functionalities and user flows.

Step 3: Configure Your CI/CD Pipeline

Detail the process of adding a test stage to the CI/CD pipeline. Include triggering tests automatically on code commits or pull requests.

Step 4: Enable Parallel Testing

Discuss how to speed up the testing process by running tests in parallel across different browsers and devices.

Step 5: Monitor and Report Results

Explain how to generate reports and notifications for failed tests, ensuring rapid feedback for the development team.

Conclusion

Reiterate the importance of integrating web UI testing into CI/CD pipelines to achieve faster, more reliable software releases.

[sukigairu]

wienerville farm

before downloading the mods, please make sure to check all the requirements first to avoid errors when loading them in SMAPI. all listed mods are from nexus and naver .ᐟ

── .✧

Vanilla

╰  Farmhouse: Exterior & Layouts

Japanese Buildings

Tiny Garden Farm

Totoro Greenhouse

Aimon's Tidy Cozy Farmhouse

Aimon's Tidy Cozy Cellar

Aimon's More Lively Farm Cave

Immersive Barns and Coops

╰  Farmhouse: Interiors, Craftables, and Furniture (Catalogues)

Victorian Craftables

Elegant Craftables

Elegant Scarecrows

Chinese Style Furniture

Industrial Furniture Set

Prophet's Furniture Catalogue

Prophet's Dining Room

Asters Big Furniture Pack

West Elm Furniture

Ghibli Style Furniture

Chest Deco

Tea's Cozy Modern Bathroom Furniture

Toned Down Furniture Recolor

DustBeauty's Seasonal Fences

Lun's Paths

Baking Lovers Decor

Less Ugly Spouse Rooms

╰  Pelican Town

Way Back Pelican Town

Seasonal Floral Bus Recolor

Elegant Town Interiors

DaisyNiko's Earthy Interiors

Overgrown Valley - Lune (Ko-Fi)

Train Station

Central Station

╰  Graphics, Interface, and Settings

Overgrown Flowery Interface

Title Screen Fairies

Natural Color - ReShade

DaisyNiko's Earthy Recolour

DaisyNiko's Tilesheets

Custom Menu Background

Generic Mod Config Menu

Better Water

Dynamic Reflection

Dynamic Night Time

╰  Hair, Accessories, and Clothing (Fashion Sense)

✧₊‧˚⁀➷ NAVER

Delloti's Hairstyle

Daily Hats Set

Daily Shirts Set

Daily Pants Set

✧₊‧˚⁀➷ NEXUS

Kkunma Hair collection

Wide Legs (Shoes & Pants)

Katy's Closet No.1

Katy's Closet No.2

╰  Character: Farmer, NPCs, Portraits, Dialogues, and Events

Ana's Toned Down Sprite

Peach Yogurt's Sprites - Note: If you're going to use the Peach Yogurt Sprite, make sure the marriageable NPCs are disabled in Ana's Toned Down Sprites. It won’t work if two sprite mods are running at the same time.

Portraiture

BaZhua's Marriable Role Portrait

DCBurger's High Res Portrait Mod

Canon-Friendly Dialogue Expansion

True Love Valley

More Conversation Topics

Lasting Conversation Topics

Maggs Immersive Sam Romance

Maggs Immersive Sebastian Romance

Yandere Haley Dialogue Expansion

Yandere Elliott Dialogue Expansion

Love Festival

Date Night

Reciprocate

Reverse Proposal

Better Friendship

Custom Kissing Mod

Hugs & Kisses

Happy Birthday

Anniversary on Calendar

Becoming Familiar

Immersive Spouses

Immersive Saloon

╰  Trees, Crops, and Miscellaneous

Stardew Foliage Redone

Rose Gold Tools

Cute Prize Tickets

Seasonal Picnic Pet Bowl

Deer - Horse Retexture

Elle's Cuter Coop Animals

Elle's Cuter Cats

Elle's Cuter Barn Animals

Muted Seeds

Muted Saplings

Muted Boosts

Muted Forages

Trellis as Fruit Trees

Cuter Artisan Goods

Cuter Crops and Foraging

Overgrown Skeletons and Pink Monsters

Better Rings

╰  Helpful mods .-.

UI Info Suite 2

Visible Fish

Chests Anywhere

Automate

More Minecarts

[stuarttechnologybob]

How does AI contribute to the automation of software testing?

AI-Based Testing Services

In today’s modern rapid growing software development competitive market, ensuring and assuming quality while keeping up with fast release cycles is challenging and a vital part. That’s where AI-Based Testing comes into play and role. Artificial Intelligence - Ai is changing the software testing and checking process by making it a faster, smarter, and more accurate option to go for.

Smart Test Case Generation:

AI can automatically & on its own analyze past test results, user behavior, and application logic to generate relevant test cases with its implementation. This reduces the burden on QA teams, saves time, and assures that the key user and scenarios are always covered—something manual processes might overlook and forget.

Faster Bug Detection and Resolution:

AI-Based Testing leverages the machine learning algorithms to detect the defects more efficiently by identifying the code patterns and anomalies in the code behavior and structure. This proactive approach helps and assists the testers to catch the bugs as early as possible in the development cycle, improving product quality and reducing the cost of fixes.

Improved Test Maintenance:

Even a small or minor UI change can break or last the multiple test scripts in traditional automation with its adaptation. The AI models can adapt to these changes, self-heal broken scripts, and update them automatically. This makes test maintenance less time-consuming and more reliable.

Enhanced Test Coverage:

AI assures that broader test coverage and areas are covered by simulating the realtime-user interactions and analyzing vast present datasets into the scenario. It aids to identify the edge cases and potential issues that might not be obvious to human testers. As a result, AI-based testing significantly reduces the risk of bugs in production.

Predictive Analytics for Risk Management:

AI tools and its features can analyze the historical testing data to predict areas of the application or product crafted that are more likely to fail. This insight helps the teams to prioritize their testing efforts, optimize resources, and make better decisions throughout the development lifecycle.

Seamless Integration with Agile and DevOps:

AI-powered testing tools are built to support continuous testing environments. They integrate seamlessly with CI/CD pipelines, enabling faster feedback, quick deployment, and improved collaboration between development and QA teams.

Top technology providers like Suma Soft, IBM, Cyntexa, and Cignex lead the way in AI-Based Testing solutions. They offer and assist with customized services that help the businesses to automate down the Testing process, improve the software quality, and accelerate time to market with advanced AI-driven tools.

[bennnharris]

What Is EV Charging Management Software?

Let’s get one thing out of the way EV charging isn’t just about plugging into a socket and walking away. Behind that simple user experience is a whole ecosystem that needs to run like a well-oiled (or should we say, well-charged) machine. That’s where EV charging management software steps in.

Think of it as the backend control room that powers everything from session tracking to billing, charger health, and even the queue at your nearest public station. Whether you’re managing a single station or hundreds across locations, this software is what keeps operations clean, trackable, and profitable.

Let’s break this down properly and make sense of what matters especially if you’re planning to get into the EV game with some business sense, not just shiny dashboards.

What is EV Charging Management Software, Really?

In simple words, EV Charging Management Software (CMS) is a centralized system that lets charging station owners, operators, and businesses manage, monitor, and monetize their EV charging infrastructure.

It does everything from:

Authorizing users and vehicles

Monitoring energy usage

Managing peak loads

Automating billing and invoicing

Handling remote diagnostics

And integrating with apps, wallets, and CRM tools

Without it, you'd be managing your EV chargers with spreadsheets, phone calls, and prayers.

Who Needs It?

If you're a fleet operator, public charging station owner, commercial building manager, or even a residential society exploring EV readiness this software isn't a luxury. It's survival gear.

And yes, government projects, retail malls, parking lots, and logistics parks are all getting in on it.

You want uptime, transparency, and ROI? You need a CMS that plays nice with your hardware and grows as your needs change.

What Problems Does It Solve?

Here’s where we skip the fluff and talk about real issues.

1. Energy Load Management

Uncontrolled EV charging can blow up your utility bill or trip the local transformer. CMS helps you control how much energy flows where and when without causing grid panic.

2. Charger Downtime

No operator wants to get that “your charger isn’t working” call at 2 AM. A solid CMS alerts you before users complain. Remote diagnostics and health checks are baked in.

3. User Authentication & Payments

Want to let only subscribed users charge? Want to integrate UPI, cards, or in-app wallets? A proper CMS does all that without you writing a single line of code.

4. Revenue Leakage

Imagine running a business where you're not sure who paid, how much power was delivered, or how many sessions failed. A CMS gives you transaction-level visibility. No guessing games.

5. Scalability

Planning to go from 5 chargers to 50? From 1 location to 12 cities? Your CMS better be ready before your Excel sheet dies of stress.

Must-Have Features (Beyond Just “Dashboard Looks Cool”)

A good EV CMS isn't just eye candy. Here's what you should be checking for:

OCPP Compliance: Plays well with most hardware brands

Dynamic Load Balancing: Keeps your power use smart and optimized

Real-time Monitoring: Know what’s happening where, second by second

Custom Pricing Models: Per minute, per kWh, time-of-day rates you control the game

Fleet & Group Management: Especially if you're running EV fleets or shared chargers

User Access Control: Set roles, permissions, and access levels

White-label Option: Your brand, your logo, your rules

So, Who’s Doing It Right?

There are plenty of software platforms out there that’ll promise the moon until you actually plug them in. But a few players are doing it with serious focus on customization, clean architecture, and real customer support.

Stellen Infotech: Quietly Building the Backbone for EV Ops

While most are busy chasing investor buzzwords, Stellen Infotech is quietly building robust, scalable, and adaptable EV charging software solutions for businesses that actually need to function in the real world.

They’re not just slapping a UI on top of code and calling it a platform. Their stack includes features like:

Custom-built integrations for fleets

White-labeled dashboards

Load optimization modules

Billing and invoicing flexibility

API support for third-party logistics, CRMs, or payment apps

The vibe? Practical tech that doesn’t crash when you scale or cry when you run 100 sessions a day. You’ll notice they’re not trying to be the flashiest just the most dependable in the room. And that’s honestly what most businesses want when dealing with critical infrastructure.

Can’t I Just Build This Myself?

Sure, if you’re sitting on a dev team with grid logic, payment gateway knowledge, OCPP expertise, and UI chops. Otherwise, you’ll spend 18 months burning money, and still end up with something half-baked.

EV management is not just a software challenge it’s a compliance, connectivity, and customer experience challenge. You’re better off working with a team that already figured that out.

What About Hardware Compatibility?

The good ones like Stellen’s platform are built to support OCPP 1.6 and 2.0, meaning they work with a wide range of chargers. You’re not locked into one brand or vendor, which is great because EV hardware isn’t cheap and upgrading just for software issues is bad business.

Final Thoughts: Where This Is Headed

EV charging isn't a novelty anymore. With mandates, subsidies, and rising fuel prices, we’re going to see charging stations pop up like ATMs did in the 2000s. But here’s the thing the ones who’ll stay profitable aren’t the ones who bought the fanciest chargers. It’s the ones who run them smartly.

That’s where EV charging management software earns its keep.

Whether you’re just setting up or scaling across cities, having a solid CMS isn’t optional it’s your operational backbone. Platforms like what Stellen Infotech offers are making this easier for businesses that don’t want to get stuck figuring out load curves and session reports at 11 PM.

And honestly? That’s the kind of tech backbone more EV businesses need not another flashy dashboard with no substance.

[e-bird-online]

AI Design Tools: The New Era

Showcase a few leading AI-powered web design tools:

Designs.ai (or other relevant AI design tool)

Midjourney (for generating images and illustrations)

UIzard (for UI design and prototyping)

Demonstrate how these tools can automate tedious tasks like generating design concepts, color schemes, and layouts.

Offer a glimpse of how AI is changing the role of designers: from manual execution to creative direction.

Get Free Video Tutorial For 3D Image Designing 🦄.

Artists and designers can experiment more boldly. High-quality 3D renders can show off a product before it's even built. People are more likely to pay attention to 3D visuals.

Important Tools are required: Vectary, VSD source, VLSI, Kuboteck Cosmos,

Get Free Banner Design Tutorial 👈

Good design is obvious. Great design is transparent.

Design Starts with - Before any visuals are created, designers engage in research, analysis, and ideation. They consider the user’s needs, the message to be communicated, and the best medium for the solution.

Visuals as a Language

Design communicates through color, typography, layout, imagery, and other visual elements. Good design translates complex thoughts into simple, understandable visuals.

[nsimsouthex233]

Digital Marketing Skills to Learn in 2025

Key Digital Marketing Skills to Learn in 2025 to Stay Ahead of Competition The digital marketing landscape in 2025 is rapidly changing, driven by the technological advancements, shifting consumer behavior, and the growing power of artificial intelligence. Competition and career resilience require acquiring expertise in the following digital marketing skills.

Data Analysis and Interpretation

Data is the backbone of modern marketing strategies. The ability to collect, analyze, and make informed decisions based on large sets of data sets great marketers apart. Proficiency in analytical software like Google Analytics and AI-driven tools is critical in measuring campaign performance, optimizing strategies, and making data-driven decisions. Predictive analytics and customer journey mapping are also becoming more critical for trend spotting and personalization of user experience.

Search Engine Optimization (SEO) and Search Engine Marketing (SEM)

SEO is still a fundamental skill, but the landscape is evolving. The marketer now has to optimize for traditional search engines, voice search, and even social media, as Gen Z increasingly relies on TikTok and YouTube as search tools. Keeping up with algorithm updates, keyword research skills, and technical SEO skills is essential to staying visible and driving organic traffic.

Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are revolutionizing digital marketing through the power to enable advanced targeting, automation, and personalization. Marketers will need to leverage AI in order to segment audiences, design content, deploy predictive analytics, and build chatbots. Most crucial will be understanding how to balance AI-based automation with human, authentic content.

Content Generation and Storytelling

Content is still king. Marketers must be great at creating great copy, video, and interactive content that is appropriate for various platforms and audiences. Emotionally resonant storytelling and brand affection are more critical than ever, particularly as human-created content trumps AI-created content consistently.

Social Media Strategy and Social Commerce Social media is still the foremost driver of digital engagement. Mastering techniques constructed for specific platforms—such as short-form video, live stream, and influencing with influencers—is critical. How to facilitate direct sales through social commerce, built on combining commerce and social interactions, is an area marketers must master.

Marketing Automation

Efficiency is the most critical in 2025. Marketing automation platforms (e.g., Marketo and HubSpot) enable marketers to automate repetitive tasks, nurture leads, and personalize customer journeys at scale.

UX/UI Design Principles

A seamless user experience and a pleasing design can either make or destroy online campaigns. Having UX/UI basics in your knowledge and collaborating with design teams ensures that marketing campaigns are both effective and engaging.

Ethical Marketing and Privacy Compliance

With data privacy emerging as a pressing issue, marketers must stay updated on laws like GDPR and CCPA. Ethical marketing and openness foster trust and avoid legal issues.

To lead in 2025, digital marketers will have to fuse technical skills, creativity, and flexibility. By acquiring these high-impact capabilities-data analysis, SEO, AI, content development, social strategy, automation, UX/UI, and ethical marketing-you'll be at the edge of the constantly evolving digital space