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Mahesh Chand's contributions
Is prompt engineering a worthy one to make a career shift?
Learn why prompt engineering is the fastest growing career
Is prompt engineering a skill worth learning professionally?
Prompt engineering is the practice of designing effective instructions for AI models to optimize outputs in software development, business, marketing, and data analysis. Learn how prompt engineering can be automated, productized into workflows, and why it is a valuable professional skill in 2025.
Should We Train Our Own LLMs or Use Existing Ones via APIs?
Learn whether to train your own LLM or use existing APIs, with pros, cons, cost considerations, and expert tips to guide your enterprise AI strategy.
Top 10 ChatGPT Prompts
Discover the top 10 ChatGPT prompts people use to explore humor, knowledge, opinions, and advice—from jokes and book summaries to AI concepts and climate change insights.
Should We Build GenAI Solutions In-House or Adopt Existing Platforms?
Deciding whether to build your own GenAI solution or leverage existing AI platforms? This guide breaks down the pros and cons of both approaches, helping engineering leaders choose the right path based on cost, speed, customization, and long-term value.
SQL vs NoSQL: Making the Right Database Choice for Your Application
Learn the core differences between SQL and NoSQL databases. Explore their advantages, disadvantages, top database options, and when to use each. A must-read for software developers and DBAs making architectural decisions.
Types of Classes in C# with Examples | Concrete, Static, Abstract, Sealed, and More
Learn all the types of classes in C# with clear examples and use cases. Understand when to use abstract, static, sealed, generic, and partial classes in .NET Framework.
Top 5 LLMs for Enterprises
Discover the top 5 LLMs for enterprise development in 2025, including GPT-4 Turbo, Claude 3 Opus, Mistral, LLaMA 3, and Gemini—ideal for secure, scalable, and high-performance AI applications in business.
10 Fastest Growing Tech Jobs in 2025
Discover the top 10 fastest growing tech jobs in 2025 — including average salaries, key skills, top cities, remote/offshore opportunities, and the top companies hiring right now.
Top 10 Fastest Growing Tech Jobs of the Future (2025–2030)
Discover the fastest growing tech careers from 2025 to 2030, including AI, cybersecurity, cloud, data science, and more. Learn key skills, salary insights, and how to start today.
Best Practices for Structuring Large ASP.NET Projects: A Simple Guide
A beginner-friendly guide to organizing large ASP.NET projects using clean architecture, feature-based folders, and practical tips for maintainability and scalability.
Top 7 AI Tools for Software Developers (2025)
Explore the top 7 AI tools revolutionizing software development in 2025. Compare GitHub Copilot, ChatGPT, Replit AI, Cursor AI, Windsurf, Tabnine, and V0 by Vercel in terms of features, pricing, strengths, weaknesses, and ideal use cases. Discover which AI coding assistant is right for your needs and boost your productivity.
What are Good Use Cases for Integrating LLMs into Our Own Products?
Discover high-impact use cases for integrating Large Language Models (LLMs) into your products or platforms. Learn how GenAI can enhance healthcare, finance, and education applications through smart assistants, automation, and personalized user experiences.
How Generative AI Is Transforming Healthcare Efficiency and Clinical Workflows
Discover how hospitals and healthcare systems are using generative AI tools like Microsoft Copilot to reduce physician workload, improve decision-making, and enhance patient outcomes through smarter, automated clinical and administrative support.
How to Ensure Data Privacy and Intellectual Property Protection When Using LLMs
Learn how to protect data privacy and intellectual property when using Large Language Models (LLMs). Explore secure deployment options, prompt sanitization, regulatory compliance, and best practices for safely integrating GenAI into your enterprise workflows.
How do we measure the ROI of GenAI adoption in engineering?
Discover how to effectively measure the ROI of Generative AI in software engineering. Learn key metrics to track productivity, cost savings, code quality improvements, and developer satisfaction to evaluate the true impact of GenAI adoption on your engineering teams.
AI in Software Development: Save 40% Time Across the SDLC
AI and GenAI tools are transforming software development by significantly reducing the time spent across each stage of the SDLC. From writing code to testing and documentation. In this article, we break down how much time each phase typically takes and how much AI can save.
How to Build a Complete Website using Github Copilot
From these MSBuild demos, learn how to build a complete website using just few commands in Github Copilot.
What is NLWeb and How does NLWeb work?
NLWeb is an open-source project from Microsoft that lets any website add a chat-like, AI-powered interface so users can ask questions in natural language and get answers using the website’s own data
What can ChatGPT do
ChatGPT is an advanced AI tool that generates human-like text, translates languages, writes code, emails, and creative content. It helps businesses and individuals with communication, marketing, and problem-solving tasks efficiently.
Most Practical Use Cases of AI in Software Development
Explore the most practical and real-world use cases of AI in software development, from code generation and test automation to AI-assisted debugging and documentation. Learn how engineering teams are using AI tools today to build software faster, better, and smarter.
What is a key concern when sending data to AI systems?
Learn the privacy, security, intellectual property, and compliance risks of sending data to LLMs, plus practical steps to protect sensitive information.
⚠️ What Are the Risks of Exposing Internal Data to AI Models?
This article explores the key risks of exposing proprietary code and internal data to AI models, including potential data leakage, IP loss, compliance violations, and security threats. It also provides actionable steps organizations can take to safely and securely integrate AI tools into their workflows.
🚀 How to Set Up an AI Engineering Team from Scratch
Learn how to build a high-performing AI/ML engineering team from the ground up. This step-by-step guide covers defining your AI vision, hiring key roles, setting up infrastructure, implementing best practices, and scaling your team effectively to accelerate AI-driven innovation.
How do we use GenAI for code reviews, refactoring, and documentation?
Learn how Generative AI is transforming software development by automating code reviews, improving refactoring, and generating accurate documentation. Discover tools, techniques, and best practices to integrate GenAI into your development workflow for faster, cleaner, and more maintainable code.
