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React JS: Useful tips to build an awesome UI

UI development has undergone a major transformation with modern front-end technologies in such a short span of time. React JS is one of these recent technologies. It is an open source library for creating composable interfaces and it is maintained by Facebook.

In this article, I am giving you some useful tips to build an awesome, well built React app. These are the best practices which will help you to improve your react apps as well as your personal knowledge base about React, time by time.

React JS for awesome UI

Always keep yourself updated

Never use the old or outdated version. As of 2018 April, current major version of React is React 16. You should keep checking things, which have been deprecated too. Try not to skip even minor updates. For example, if we talk about the latest, React 16 is the first version which is built on top of a new core architecture, name as “Fiber”. Fiber is responsible for most of the new features in React 16, like error boundaries and fragments. React 16 provides better error handling techniques. You can refer this link for version wise list of changes.

Follow design patterns and best practices

In programming, they say, libraries are temporary, but good design patterns are permanent. Learn those patterns and try to make use of them in real life situations. It will help you to make your applications more flexible, perform better, and easier to maintain that will lead to giving your workflow a huge boost when it comes to speed, without reducing quality. Take a look here and help yourself as much as you can. Various forums and sites like StackOverFlow etc. can also help you improve your code, where developers suggest a lot of pretty good ways to achieve a single goal.

Look under the hood

Learning React.js in depth is time well spent. Create a dummy project with or without JSX to get closer to the underlying virtual DOM to optimize your apps more efficiently. Have expertise in the use of “this” keyword in React JS. Read about React’s true strength like the composition, unidirectional data flow, freedom from DSLs, explicit mutation and static mental model. Try to dig deeper into React’s internal properties, it’s lifecycle methods, concepts whenever you get sufficient time. Get familiar with how the state actually changes in react, event delegation and the context API and all of its issues. Finally, grasping the broad overview of React.js Fiber gives a sense of control. Get command in Redux

Redux is one of the hottest libraries in front-end development these days. It is a predictable state container for JavaScript apps. Redux provides a solid, stable and mature solution to managing state in your React application. Through a handful of small, useful patterns, Redux can transform your application from a total mess of confusing and scattered state, into a delightfully organized, easy to understand modern JavaScript powerhouse. You can always refer https://redux.js.org/ for this.

Performance optimization for slow devices

People may have requirements to use the web app you built on low-end devices with slow connections. So do not get obsessed with your application’s speed and performance on your MacBook. Always measure before you act. And It’s not only about the size of the code, but the quality too. A good quality code also helps you to maintain your code time by time. Use Lighthouse tool to get a rough idea of what needs improvement, then go on with the new webpack dashboard or webpack bundler analyzer to see where can you cut down on size. Use chrome react plugin to inspect your react application while development.
If you really need everything you import, performance can still be improved with code splitting and dynamic imports, HTTP/2’s multiplexing and push capabilities and the new prefetching link attribute – to name a few. Improve the performance of your with the official React.js optimization tips. It’s a pretty good list.

Try new things

Always keep your eyes open and check what others in the community do. React uses ES6 syntax in latest versions. One should study and keep checking latest function and syntax in ES6, which eventually would help in React development too. Apart from that have you ever heard of “Electron”? With the help of “Electron” and React, you can build desktop applications too.

Have a look here. You can start creating some great React applications and we hope you’ve learned something new. Do share your ideas in comments below.

App development trends to watch:

  1. Top Trending React JS Libraries
  2. 7 Best Techniques to Boost AngularJS Applications Performance
  3. How to Setup AWS for Free- By Parag Sharma
  4. 6 DevOps trends for the future
  5. How to interface an I2S microphone with Beaglebone Black(BBB)
  6. React JS: Useful tips to build an awesome UI
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Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

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