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How to increase your Design Efficiency by 50%?

In the fast-paced world of design, efficiency is crucial to stay ahead of the competition and deliver exceptional results. Fortunately, modern design tools like Figma offer a plethora of features that can significantly enhance your productivity.

Over the past few days, our team has been buzzing with excitement ever since Figma released its most significant update yet. We can’t stop discussing the amazing new updates and features that have made our work easier than ever before. For designers, Figma is an indispensable tool for day-to-day operations and their workflow revolves around Figma. In this article, we will share the top 3 features that have significantly improved our lives as designers and given our workflow a much-needed boost. So, without further ado, let’s jump right in! �� 

Auto Layout

New Auto Layout Wrap

The auto layout was very powerful before but with the latest update, Figma added a new wrap feature into it which makes it more powerful than ever. Let me explain this feature with an example. Let’s say you have tags that scroll.

Now when you make responsive variants of this mobile screen you have to reframe those components and rearrange them again but with this wrap feature you just have to resize the parent frame and that’s it! Boom �� your responsive tag component is ready, how awesome is this? 

Auto Layout also has Min-Width and Max-Width options in Height and Weight which helps you to set min and max width to any component which means less than min-width you can set the component to look to any responsive screen. This way you have a fully responsive component that is ready to use in any size of art-board. 

If you use Auto Layout more frequently it saves you so much time in situations when you are making changes in design eg, when you change content or update content, because of Auto Layout, it adjusts itself accordingly and you don’t have to change the layout manually again according to content which is a huge time saver and ultimately boosts your workflow. 

Variables

Variables

Variables Design tokens: Variables in Figma works awesome.  

Now you might be wondering what is all so special about variables. They are just placeholders that hold value and you can use them anywhere but in design, it’s more than that. Let’s understand the power of variables with an example. 

Assume that you are working on a Design system that has Light and Dark modes. Now traditionally you will work on both designs but with Figma, you can now create variables of colors for both Light and Dark modes and assign colors to a component. Once this is done, you just need to change the Art-board parent variable to dark and your dark mode design is done. 

Variables can be used anywhere- in width, height, colorcode, and Text style. It will help you in prototyping which will be covered later. Variables will change your Design and Prototyping game to the next level for sure. 

Dev Mode

Dev Mode

Dev mode is built for developers but it also helps the designers when you give design handoff to them. With the latest updates, it has become more powerful than ever which makes the handoff process very easy. Let’s learn more about Dev Mode.

If you click on the frame menu in Figma, with the Frame and Slice tool you can now see one more tool called section which is very much similar to the art-board tool but it’s for Developers. How? 

When you create a new section and add your developer-ready art-boards into them (Drag and Drop will work) set the status to Mark as ready for Dev which is a small button just beside the section title. As a designer, you are pretty much done now even though your Figma file has hundreds of artboards, but only the developer will be able to work on those artboards in the developer-ready section. 

Now you must be thinking about how it boosts a designer’s workflow. Post development, support is also a part of the designer workflow which means this feature will not only save your time in development. 

Dev Mode Features: 

1. Track design history: This simply means now the developer can see the changes you made between 2 or more designs and also compare them. This feature will help them track product improvement over time and better collaboration. 

2. Dev Resources: You can also mention your developer links to the developers to help them better understand and build a component. 

3. Code Section: This will remind you of the tool Zeplin which is very similar but more powerful and has a code layout that looks like the Chrome dev tool layout version. It shows the Margin, Border, Padding, Width, and Height information of a selected component or object. Under these, we have layout and style sections that generate CSS code for that selected thing. The code section also has Units (Px, rem, custom scale) options and also has a dropdown that generates IOS(SwiftUI, UIKit), Android(Compose, XML), and CSS code which is useful for all kinds of developers. 

The rest of the features are the same like colours and Assets and Export which helps in development. 

One more thing that helps the developers to work is the new Figma for VSCode plugin which now can be installed in VSCode.

So basically you can Open any Figma Document in the VSCode editor and see the Side-by-side view of your Design on the left side while you are writing the code for it.

Figma for VS Code

Conclusion:

In conclusion, embracing these three powerful features can supercharge your design efficiency by up to 50%, meet tight deadlines with ease, and wow your clients with exceptional designs, whether you are a seasoned designer looking to enhance your skills or a newcomer eager to make an impact.

Want to read more on designing?

Check out our latest blog: Response Biases in User Research: A Guide for Culturally and Behaviorally Relevant Insights

About the Author: Akshay Vinchurkar is a lead designer at Mantra Labs with 5 years of experience in Design. He is also an active Member of the Figma Community and loves to write about Open source and Design.

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Manufacturing 4.0: How Augmented Reality is Reshaping the Factory Floor

Augmented reality began in a lab at Harvard back in the 1960s, and over the years, it has been used for defense, sports, entertainment, and gaming applications, among others. Most of us got our first taste of augmented reality while chasing Pikachu through city streets in Pokémon Go. But in factories, AR isn’t about catching ’em all—it’s about keeping production lines running smoothly, minimizing errors, and turning workers into efficiency powerhouses with a simple glance through a headset. 

In manufacturing, AR has evolved beyond simple overlays to become a transformative force, seamlessly integrating with Artificial Intelligence (AI), IoT, and digital twin technologies. We all recognize the value AR brings to manufacturing, but what happens when AI enhances AR? How is AR transforming the industry, and how does it work? That’s exactly what we’ll explore in this blog.

The Next Evolution of AR in Manufacturing

Manufacturing is no longer just about automation, it’s about augmentation. AI is helping AR enable a new level of precision, real-time decision-making, and predictive capabilities that were once considered futuristic. Let’s take a closer look at how AR is elevating factory operations today.

1. AI-powered AR for Adaptive Workflows

Picture this: you’re on a bustling factory floor, working on an intricate assembly task. Traditional AR systems would simply float static instructions in front of you like flipping through a digital manual that doesn’t know if you’re stuck or making a mistake. Helpful? Sure. Dynamic? Not so much.

Now just imagine you are working with AI-powered AR which doesn’t just display instructions, it learns, adapts, and reacts. These intelligent systems analyze your workflow in real-time, adjusting guidance based on how you’re performing, the machine conditions around you, and even environmental factors. Hesitate on a step? The system modifies the instructions instantly. Does a component deviate from standard specifications? AR overlays flag the issue before it snowballs into a costly error.

Companies like PTC and Vuforia are pioneering AI-driven AR solutions, analyzing operator performance to deliver real-time coaching. How Volkswagen has integrated AI-driven AR into its assembly lines, automatically detecting errors and suggesting corrections to workers on the spot, significantly reducing rework time.

2. AR and IoT: The Connected Factory

What if the mere thought of ‘I wish these machines could just communicate’ could be true? AR, when combined with IoT, transforms equipment into interactive entities, providing real-time sensor data directly overlaid onto machinery. Instead of waiting for a malfunction, workers can spot anomalies, take proactive measures, and keep production lines running smoothly.

Siemens has already embraced this technology, equipping workers with AR dashboards that display real-time diagnostics and alerts, significantly reducing unexpected machine failures. According to Deloitte, Factories integrating AR-powered IoT solutions drop machine failure rates, leading to reduced downtime and operational costs.

3. AR-Enabled Remote Collaboration and Assistance

In the past, troubleshooting a complex issue on the factory floor meant waiting for an expert to arrive, causing delays in production. But with AI-powered AR, remote collaboration has become seamless. Experts can now “see” exactly what you see, overlaying real-time annotations, guiding your hands, and helping resolve issues instantly! no waiting, no guesswork.

Airbus has developed AR-based remote assistance solutions where engineers worldwide provide instant support to factory workers, reducing troubleshooting time by 60%. Similarly, Caterpillar’s AR-powered remote support system has led to a 50% reduction in equipment downtime, directly improving operational efficiency.

Source: Belcan.com

4. AR-Driven Digital Twins for Real-Time Decision Making

The virtual replica of your factory floor is not just imagination, it’s a reality with digital twin technology. Imagine standing in your factory and seeing a real-time, interactive model of the entire operation floating in front of you. These AI-powered digital twins mirror every aspect of your machinery and workflow, allowing workers to test processes, predict failures, and optimize operations before making real-world changes.

Instead of relying on outdated reports or delayed diagnostics, workers can access instant, data-driven insights overlaid onto their environment. This helps them tweak operations on the go without shutting down production. Whether optimizing machine performance, identifying bottlenecks, or improving workflow efficiency, digital twins give workers the power to make smarter, faster decisions right on the spot.

GE integrates AR with digital twins, allowing engineers to simulate and optimize workflows before execution, minimizing errors and improving efficiency. Companies leveraging AR-driven digital twins report a 40% boost in operational efficiency, making real-time decision-making more data-driven than ever.

5. AR in Workforce Development: AI-Coached Training and Skill Retention

Forget static manuals and lengthy onboarding sessions, AR is revolutionizing training by offering augmented reality training immersive, AI-assisted learning experiences tailored to individual skill levels. Workers learn by doing, receiving real-time, interactive guidance that accelerates skill acquisition and improves long-term retention.

Lockheed Martin has implemented AR-driven training programs, which have reduced the time required for workers to master complex assembly tasks. AI-integrated AR training systems can even predict potential human errors before they occur, offering instant corrective feedback and creating a more proactive, skilled workforce.

Source: Mantra Research

The Impact of AR on Manufacturing

The adoption of AR in smart manufacturing has not just improved the quality of output but has transformed the entire industry. By enabling real-time decision-making, predictive maintenance, and adaptive learning, AR is creating more agile, efficient, and error-free production environments. Workers are experiencing faster task completion rates, fewer errors, and enhanced safety measures, while companies are seeing increased ROI, reduced downtime, and higher production yields.

According to a PwC report, companies implementing AR in industrial settings have achieved a 32% improvement in productivity and a 25% reduction in errors. These advancements are not just making production lines smarter but also reshaping the role of human workers, empowering them with real-time insights and hands-free operational guidance.

Conclusion:

With AI-powered Augmented Reality on factory floors, the manufacturing industry has evolved in every way possible. AI is not just assisting AR—it’s amplifying its impact. Machine efficiency has soared, processes have become more seamless, and workers are now equipped with real-time insights that make their jobs more engaging and rewarding. Error rates have dropped drastically, and safety concerns are becoming a thing of the past, thanks to AI-driven predictive alerts and color-coded warnings that flag potential issues before they escalate.

But the real game-changer? Precision and quality. AI’s ability to analyze and adapt in real time has led to higher product quality, reduced downtime, and smarter workflows. The result – factories that are not just automated, but intelligently optimized.

At Mantra Labs, we build AI-driven solutions that help businesses scale sustainably, reduce inefficiencies, and streamline operations. From minimizing downtime to optimizing supply chains, we make manufacturing smarter and more resilient.

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