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Software Engineering Insights

Rashi Chandra

Rashi is a content strategist with a knack for breaking down complex technical concepts into engaging, user-friendly content. Beyond her writing pursuits, she takes interest in exploring global geopolitical landscapes through reading.

Recent Posts

Common Codebase vs. Separate Codebase for Web and Mobile: Streamlining Your Platform Development

By Rashi Chandra on Apr 17, 2024 10:00:00 AM

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As developers and companies seek cost-effectiveness in the software industry, they face a strategic decision: should you have one set of code that works across your websites and mobile app, or separate code for each? This decision can impact your project's agility, costs, and scalability.

Topics: Software Development
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Automated CI/CD vs. Manual Launch: Optimizing Software Deployment

By Rashi Chandra on Apr 10, 2024 11:00:00 AM

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The deployment strategy adopted by a software team is critical to the product's performance and market success. Automated Continuous Integration/ Continuous Delivery/ Deployment (CI/CD) solutions improve deployment efficiency, reduce errors, and enable agile development, allowing teams to focus on innovation. On the other hand, manual launches allow for more precise control, making them suitable for specialized or cautious rollouts. 

Topics: DevOps
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9 Machine Learning Algorithms For Recommendation Engines

By Rashi Chandra on Apr 3, 2024 6:00:00 PM

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Recommendation engines stand as the backbone of personalized online experiences, guiding users to discover content, products, and services that meet their preferences. From driving online shoppers to their next favorite product, or suggesting the next binge-worthy movie according to the viewer’s genre history, recommendation engines are the hidden force behind driving user-preferred actions on digital platforms. 

Topics: Artificial Intelligence
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Predictive UX: Anticipating User Actions with Machine Learning

By Rashi Chandra on Apr 2, 2024 3:00:00 PM

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Imagine opening your food ordering app and being greeted with your favorite food list, or visiting an online store and finding the items you've been longing for already lined up, waiting for your approval. This isn't magic; it's predictive UX at work. It's like a friend who remembers your preferences and surprises you with choices that feel handpicked—with a touch of Artificial Intelligence(AI).

Topics: Artificial Intelligence
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