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5 things you need to know from Stack Overflow Survey 2016- JavaScript Continues to Rule The Web.

To gain insight into the state of development, every year tens of thousands of developers are surveyed by Stack Overflow through their service. Stack Overflow serves as a stage where designers share their work and make inquiries identified with coding. Consistently, the site overviews a huge number of engineers to get a thought regarding the present situation of the tech world, making it a standout amongst the most exhaustive designer study ever directed.

Every year the statistics of inside industry are fascinating and this year for 2016’s study, 50,000 to 56033 developers responded from across the industry from 173 countries– and the findings are fascinating, as well as insightful. The company found that JavaScript is still overwhelmingly the most popular development language, with more than 55.4 percent of people saying they use the language. PHP fell 4 percent in the last year to 25 percent, which Stack Overflow attributed to the rise of Node and Angular, but Microsoft’s Visual Basic is the most “dreaded” language. It was also found that 46 percent of the developers have no degree in computer science or any related field and that more than 57 percent of them check in code at work more than once a day.
Survey statistics of January 2016 showed, more than 45 million opened Stack Overflow in their web programs to pose a question or answer something asked by a kindred designer. Most respondents recognize themselves as full-stack designers with a number as high as 28%, trailed by back-end web engineers with 12.2%.

Among overall participants, the most popular developer job title was “Full-Stack Web Developer” at 28 percent, followed by “back-end developer” at 12 percent and around 11.4% percent call themselves an understudy, trailed by 8.4% developers who are Android, iOS, Windows Phone, and multi-stage development developers. Interestingly the most common developer age is 25-29, with more than 28 percent of respondents fitting into the category, followed by 23 percent at 20-25.
Stack overflow engineer overview 2016 designer occupations: Stack Overflow 2016- 1

If we move to the area where we’ll discuss the most utilized advances, JavaScript keeps on decision the web. It’s still the most mainstream programming dialect for web advancement with 55.4% individuals saying that they code in JavaScript. This colossally famous programming dialect is trailed by SQL Server (49.1%), Java (36.3%), C# (30.9%), PHP (25.9%), and C++ (19.4%).Stack Overflow 2016- 4

In “Stack Overflow engineer review 2016 most prevalent technologies”, if we discuss the inclining advancements on Stack Overflow, React, Spark and Swift (taking business sector from Objective-C ‘quickly’) are administering the graphs, while Node.js and Angular JS are on the rise.stackoverflow- 2016- 6

This year we asked respondents if they are Engineers, Experts, Hackers or any of the other descriptors we’ve frequently seen in job listings, business cards, and Twitter bios.
95% of developers identify as either a Developer, Programmer, Engineer, Senior Developer or Full-Stack Developer. Embedded Application Developers are most likely to identify as Engineers. Graphics Programmers are most likely to identify as Programmers.
But Developer is the runaway choice in this survey.Stack Overflow 2016- 5

The average developer has about 6.5 years of IT or programming experience. This isn’t necessarily professional experience (the average student tells us they have 3.4 years of experience). Developers gain experience by building things, even if they’re doing it unpaid or part-time. We’ve found this experience distribution to closely match that of more than 230,000 developers who make their CVs available on Stack Overflow.

Worldwide, the median Front-End Web Developer has 3.5 years of experience. The median Full-Stack Developer has 8 years of experience. And the median Engineering Manager has 13 years of experience.

Stack Overflow 2016- 1

The other points that were highlighted in Survey were, 69% of all developers tell us they are at least partly self-taught. (13% of respondents across the globe tell us they are only self-taught.) 43% of developers have either a BA or BS in computer science or a related field. 2% of developers have a PhD.

Overall, about 73% of developers tell us they think diversity is at least somewhat important in the workplace. 41% of developers say diversity is very important. And developers who most often influence hiring decisions are more likely to believe in the value of diversity than other developer types.

The saddest statistic in the Survey document, which has been highlighted as a major issue at many silicon valley tech companies, is that more than 92 percent of the respondents were male, showing just how gendered the industry really is and how far we need to go.

The study provides a lot of other interesting data if you’re looking for insights into where to move next, or if you’re looking for an easy pay bump. Mantra Labs has been continuously keeping watch on latest trends in Tech companies, to know more about latest trends, connect to Mantra Labs.

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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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