12 best remote working tools

Maciej Zieliński

16 Apr 2020
12 best remote working tools

Remote working has been growing in popularity for many years, but recent events have dramatically increased the need for effective tools to work from home. 

This type of work presents many challenges - the analysis carried out by Buffer shows that many remote workers have problems with disconnection, loneliness and communication. Other challenges include problems concentrating at home, working with people in other time zones and finding motivation. 

It is worth adding that in the Buffer report as much as 99% of the respondents stated that they would like to work remotely at least once during their career.

The tools we have chosen focus on solving not only the unique problems faced by teams permanently scattered around the country and the world, but also those that emerged in connection with the rapidly changing situation and forced many employees to switch to remote working.

Trello

A tool that will make it much easier to deal with many issues at once and avoid unnecessary doubles and work on the same topic by two employees. Main advantages: separation of tasks, setting statuses and importance for individual tabs, managing multiple issues at once. Similar to Trello is Monday - but goes one step further. While the previous project management tool fundamentally redesigned the concept of a to-do-list with boards, here we have a fully functional management platform for team leaders. The main advantages: tracking progress, file sharing, weekly task reviews, managing both projects and tasks, checklists and reports.

The main advantages: tracking progress, file sharing, weekly task reviews, managing both projects and tasks, checklists and reports.

Status Hero

Working remotely, it's extremely easy to fall into the trap of sending dozens of emails and messages daily with reports on tasks done, problems encountered on the road and the status of individual employees. This problem is solved by Status Hero.

The main advantages: setting up statuses with accessibility, catching time zones where employees are currently located, the ability to report, grouping or project management.

Microsoft Teams

Although Microsoft recorded some bandwidth problems at the beginning of last week, at the moment the program is back to normal. According to many, Teams is a much better tool for conversations and meetings than Skype - it works well even with a very large number of people.

The main advantages: conferences in the form of video, the ability to set statuses, efficient operation with many employees.

Slack

If it's not yet a commonly used tool on your team, it's definitely worth changing. Slack is an essential tool to facilitate communication in both smaller and very large teams - up to several hundred people.

The main advantages are: efficient communication, setting up accessible statuses, file transfer, voice and video chat, screen sharing.

Serene

"Multi-tasking is a myth. Single-tasking is super power." - Serene's application slogan actually says everything about its operation. It helps individual team members maximize productivity by focusing on one goal per day. Instead of sharing attention, it focuses it.

The main advantages: blocking sites and apps, smooth sessions (20 to 60 minutes), timers, scheduling of the day, music to help keep the focus.

Spark

Email filter that actually works. Automatically categorizes messages from multiple accounts and divides them according to importance. At the same time, it filters out the ones that are a waste of time.

Main advantages: scheduling of sending messages, reminders, assigning e-mail addresses to team members, intelligent inbox.

Take A Break

The problem with disconnecting from work is, according to Buffer, the biggest bane of remote workers. Take A Break, as the name suggests, helps you disconnect from your computer and take full advantage of the break from work.

Main advantages: configurable work and break periods, display of remaining work time and pre-break notifications, start at login.

Time Doctor

Although some corporations are able to make "control calls" to employees to see how they spend their time, the Time Doctor allows you to do this without wasting time on a phone call. The tool helps you keep track of employee productivity and what they do at work. It can also be used to check customer accounts.

The main advantages: keeping track of employee activity, use of the Internet and applications, monitoring performance, creating reports.

Zoom

Communicator, which in recent days has become one of the most popular in the world. It allows to organize video conferences of whole companies - it works even with hundreds of users.

Main advantages: desktop sharing, file transfer, efficient operation with a large number of people.

Tandem

"Virtual office for remote teams", as its creators write about the application. It allows not only to talk to other employees, but also to check what they do at the moment and fast connections with teammates.

Main advantages: compatibility with many applications, screen sharing, quick operation.

Around

Video chat software that cuts participants into floating circles. Thanks to that there is a lot of space left on the screen for other applications.

Main advantages: auto-zoom, mute background sounds.

Confluence

Combining Slack and Calendar into one tool that allows you to efficiently plan all tasks for your team. Sharing knowledge, goals and tasks is transparent and avoids unnecessary misunderstandings.

Main advantages: planning documents, employee blogs, free flow of information.

Remote working means many challenges, but most of them can be dealt with the right tools. Although they are currently experiencing a temporary siege due to the growing popularity of remote working, they may become a permanent feature of new everyday life in the future. What's more, most of them are worth reaching out to whether you work from home or in the office.

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Master UI Component Creation with AI: The Ultimate Guide for Developers

Gracjan Prusik

24 Mar 2025
Master UI Component Creation with AI: The Ultimate Guide for Developers

Introduction

Modern frontend development is evolving rapidly, and creating UI components with AI tools is helping developers save time while enhancing interface quality. With AI, we can not only speed up the creation of UI components but also improve their quality, optimize styles, and ensure better accessibility.

This article explores how creating UI components with AI is transforming frontend development by saving time and improving workflows. Specifically, we will discuss:

  • Generating components from images,
  • AI for style analysis and optimization,
  • Automatic style conversion and code migration,
  • AI in generating UI animations.

Creating UI Components with AI from Images

One of the interesting applications of AI in frontend development is the ability to generate components from an image. AI can recognize the structure of the interface and generate HTML/CSS or JSX code that matches the provided image. One of the most popular tools for UI creation is Lovable.

For testing, let's see how the tool performs in creating a simple contact form from the page you are currently on, which is Nextrope.

Query:

"Recreate the image I've sent you in Next.js using CSS."

Sample image used in the query:

The result received:

Tworzenie komponentów UI - Wygenerowany widok

Lovable did an excellent job transforming the image into code. The view is fully responsive. It’s important to remember that the more precise the request, the better the AI will replicate the expected view. However, even with a simple command, the tool performed surprisingly well.

Of course, AI has its limitations. It still makes quite a few mistakes. The generated code still requires review and fixes from the developer, but in some cases, the entire process is significantly sped up—correcting the code often takes less time than creating the component from scratch.

Optimizing UI Components with AI Tools for Style Improvements

This problem of inaccurate code reproduction by AI can be partially addressed by using it to analyze and improve styles. Tools like ChatGPT, DeepSeek and Claude are capable of not only generating code but also diagnosing CSS errors and suggesting why a particular style might not be working as expected.

Simple example: Why is the div not centered?

Query: "Why is this div not centered?"

AI analyzes the code and provides the following response:

Problem: The parent container does not have a defined width or display: flex.
Solution: Add the appropriate styles to the parent container.

.parent {
  display: flex;
  justify-content: center;
  align-items: center;
  width: 100vw;
  height: 100vh;
}

AI for Automatic Style Conversion and Code Migration in UI Components

AI can assist with style conversion between different technologies, such as transferring code from traditional CSS to Styled Components or Tailwind CSS.

Let's assume we have a style written in traditional CSS:

.button {
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;
}

.button:hover {
  background-color: darkblue;
}

We can use AI for automatic conversion to Styled Components:

import styled from "styled-components";

const Button = styled.button`
  background-color: blue;
  color: white;
  padding: 10px 20px;
  border-radius: 5px;
  transition: background-color 0.3s ease;

  &:hover {
    background-color: darkblue;
  }
`;

export default Button;

AI can also assist in migrating code between frameworks, such as from React to Vue or from CSS to Tailwind.

This makes style migration easier and faster.

How AI Enhances UI Animation Creation

Animations are crucial for enhancing user experience in interfaces, but they are not always provided in the project specification. In such cases, developers have to come up with how the animations should look, which can be time-consuming and require significant creativity. AI, in this context, becomes helpful because it can automatically generate CSS animations or animations using libraries like Framer Motion, saving both time and effort.

Example: Automatically Generated Button Animation

Suppose we need to add a subtle scaling animation to a button but don't have a ready-made animation design. Instead of creating it from scratch, AI can generate the code that meets our needs.

Code generated by AI:

import { motion } from "framer-motion";

const AnimatedButton = () => (
  <motion.button
    whileHover={{ scale: 1.1 }}
    whileTap={{ scale: 0.9 }}
    className="bg-blue-500 text-white px-4 py-2 rounded-lg"
  >
    Press me
  </motion.button>
);

In this way, AI accelerates the animation creation process, providing developers with a simple and quick option to achieve the desired effect without the need to manually design animations from scratch.

Summary

AI significantly accelerates the creation of UI components. We can generate ready-made components from images, optimize styles, transform code between technologies, and create animations in just a few seconds. Tools like ChatGPT, DeepSeek, Claude and Lovable are a huge help for frontend developers, enabling faster and more efficient work.

In the next part of the series, we will take a look at:

If you want to learn more about how AI is impacting the entire automation of frontend processes and changing the role of developers, check out our blog article: AI in Frontend Automation – How It's Changing the Developer's Job?

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AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series