Niharika Gupta's contributions

Discover how to build scalable, secure enterprise AI applications using .NET and Azure. Explore architecture, security, use cases, and the future of AI-powered software.

Explore how AI is revolutionizing cybersecurity! Learn about intelligent threat detection, machine learning, and AI's impact on DevSecOps and cloud security. Stay ahead of AI-powered attacks.

Explore the rise of AI coding agents and their impact on software development. Will developers write less code? Discover the future of AI-assisted engineering.

Prepare for the quantum era! This article explores quantum-safe security in .NET & Visual Studio, its impact on developers, and Microsoft's approach to PQC.

Explore how autonomous AI agents are revolutionizing DevOps, automating tasks, enhancing security, and optimizing cloud infrastructure for unprecedented efficiency.

Explore AI infrastructure: GPUs, TPUs, cloud architecture, and more. Learn how to build scalable, efficient AI systems for training and inference. Essential for developers!

Explore how Google Cloud scales AI agents with Vertex AI, Gemini, and TPUs. Discover multi-agent architectures, security, and real-world use cases for enterprise AI.

Explore Multi-Agent AI Systems: how they work, benefits, challenges, and real-world use cases. Discover the future of AI with collaborative agent ecosystems.

Explore how AI-powered wellness apps use personalized insights, real-time monitoring, and predictive analytics, and the challenges developers face when building them.

Explore the rise of AI health platforms like Google Health, expanding beyond Fitbit for personalized healthcare. Discover opportunities for developers in this revolution.

Explore Google Health Coach, powered by Gemini AI, revolutionizing digital wellness with personalized, real-time health insights. Discover AI's impact on your well-being.

MLOps streamlines AI model lifecycle management, blending machine learning, DevOps, and data engineering. Essential for scalable, reliable, and improving AI.

A developer's guide to AI system design: Learn to build scalable, reliable, and intelligent applications. Master data pipelines, model deployment, and monitoring.

Implement soft delete in SQL Server using flag columns for data preservation, audit trails, and recovery. Learn best practices, advantages, and real-world use cases.

Explore Agentic AI: the next evolution of AI where systems autonomously plan, decide, and act. Learn how it works, its benefits, and how developers can get started.

Discover how AI revolutionizes zero-day vulnerability detection. Learn how AI proactively identifies and mitigates unknown threats, securing your applications.

Understand IEnumerable vs IQueryable in C#. Learn how they impact LINQ, EF Core, and data execution for optimal performance.

Explore JSON Web Tokens (JWT): structure, validation, and advantages. Learn how JWTs enhance security in APIs, microservices, and modern web applications.

Automate .NET application delivery with GitLab CI/CD! Learn to configure pipelines for building, testing, and deploying code efficiently. Improve quality and speed up releases.

Learn to enforce HTTPS in ASP.NET Core using HTTPS redirection, HSTS, Kestrel configuration, reverse proxies, and secure cookies.

Learn how to implement optimistic concurrency control in SQL Server step by step using RowVersion with examples, conflict handling, and best practices.

Learn what Critical Rendering Path is and how to optimize it step by step for faster page load, better SEO, and improved web performance.