January 9, 2026

AI and Work in the Future: Job and Labour Force Impact

Introduction: Artificial Intelligence is no longer an idea confined to futuristic films or advanced research centers. It has slowly blended into the routine activities of everyday life. From voice assistants like Siri and Alexa to the personalized suggestions we see on platforms like Netflix, AI silently supports many of the choices we make throughout the…

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Priyadharshini

January 7, 2026

Flutter Monorepo Mastery: Streamline Your Multi-Project Development

Introduction: Managing shared components, design systems, and business logic is one of the most challenging tasks teams face when developing multiple Flutter applications. Most of the time, this leads to significant code duplication across different repositories. While it might seem manageable at first, over time it creates unnecessary complexity, slows down development, and makes maintenance…

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Priyadharshini

December 19, 2025

Payoda’s AI Success Formula: What Executives Need to Know in 2026

Introduction: 2026 has become the defining year for enterprise AI. For many C-suite leaders, the challenge is no longer convincing stakeholders of AI’s potential but establishing a clear and repeatable path to profitable outcomes. Despite growing investments, a surprisingly small fraction of enterprise AI initiatives reach full-scale deployment. However, to say that technology is the…

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Priyadharshini

December 11, 2025

How Payoda’s Ethical AI Stands Apart from Global Tech Leaders

Introduction: Artificial Intelligence is no longer an experimental edge. It has become the backbone of modern industry operations. However, with its rapid adoption, there’s also a growing concern that is  unavoidable. Can we trust the AI systems to make decisions on behalf of companies, their customers, and entire ecosystems? As AI becomes more involved with…

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Priyadharshini

December 9, 2025

Leveraging AI in Bug Triage and Root Cause Analysis

Introduction: If you’re a tester, you know the routine: a new build goes live and the bug reports aren’t far behind. Some are duplicates, others are so unclear they’re tough to even reproduce, and a few are critical enough to break production. Sorting through all of that to decide what’s urgent and who should take…

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Priyadharshini

December 5, 2025

React Context API: Making State Sharing Easy in Modern React Apps

Introduction: If you’ve been writing React for a bit, you’ve probably hit that frustrating wall called Prop Drilling in React. It always sneaks up on you — you start by passing a simple bit of data (like a theme or username) through a couple of components, and before you know it, it’s winding through your…

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Priyadharshini

December 2, 2025

Will AI Replace UI Designers? Or Make Them Super Designers?

Introduction: AI’s not some far-off thing anymore. It’s a real, helpful teammate for making cool stuff. In design, it’s shaking things up, helping with ideas, trying out designs, and getting digital stuff out there. Programs like Figma AI, Adobe Firefly, Galileo AI, and Uizard can now whip up layouts, color combos, and screens that work…

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Priyadharshini

November 28, 2025

Agentic AI Landscape 2025: How Payoda Rivals Microsoft and Google

Introduction: As enterprises move toward deeper automation and autonomy, Agentic AI has become the defining force in the 2025 technology landscape. Businesses now expect AI agents to analyze, reason, plan, and execute, as they are no longer limited to predictive models or static workflows. This shift has pushed industry giants like Microsoft agentic AI and…

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Priyadharshini

November 26, 2025

The Minimalism + Maximalism Hybrid: Designing AI Interfaces That Truly Connect

Introduction: It all looks sharp, fast, and full of information. But as you click through, it feels two-dimensional. I see it all the time in AI products. Speed and automation are what developers prioritize, but they tend to forget how people feel using the interface. An over-minimalist design can feel cold and impersonal; an over-the-top…

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Priyadharshini

November 21, 2025

Reactive AI vs Proactive (Agentic) AI: Architectural Differences that Matter

Introduction: Artificial intelligence has been developing quickly, but still a lot of systems function reactively and can only respond to a situation once it has occurred. This reactive AI usage has a major drawback, as it only takes the present into account and nothing else. Moreover, it is not able to predict the future and…

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Priyadharshini