Latest from Saurav

GraphQL vs REST in 2026: Which API Style to Choose
GraphQL vs REST in 2026: how they differ on data fetching, requests, caching, and tooling, with a clear decision framework for when each API style fits.

React vs Angular vs Vue in 2026: Which to Choose
React vs Angular vs Vue in 2026: how they compare on hiring, learning curve, enterprise fit, ecosystem, and performance, with a clear pick for each use case.

Next.js vs React in 2026: When to Use Which
Next.js is built on React. The real decision is the library on its own or the framework around it: how they differ on rendering, SEO, and performance, and when to use which.

How to Migrate from Microsoft 365 to Google Workspace: The India Guide
Step by step guide to moving from Microsoft 365 to Google Workspace in India: what migrates, how long it takes, real cost ranges in INR, and how to avoid downtime.

Claude Code Skills: How Unico Configures Them for Real Projects
Inside how Unico configures Claude Code skills as governed, reusable engineering workflows — narrow scope, repo context, fixed output, and review checkpoints — plus where they add leverage and where human judgment still rules.

Google Gemini for Software Development: Use Cases, API Integration & Strengths
How software teams use Google Gemini across the development lifecycle — code generation, debugging, multimodal reasoning, and Gemini API/SDK integration with Google Cloud, Android Studio and Firebase.

CI/CD for AI Applications: What Changes in 2026
Traditional CI/CD assumes deterministic code. AI agents do not. You need a separate evaluation layer, prompt and model versioning, behavioural monitoring, and canary rollouts that catch regressions.

Google Workspace vs Microsoft 365 in 2026: Pricing, AI, and What Matters
Google Workspace wins for browser-native teams that want deeper AI collaboration. Microsoft 365 wins for Windows-heavy environments with Office desktop dependency.

From AI Code Assistants to AI Agents: A Comparison of Tools for Development Workflows
Side-by-side comparison of AI coding assistants and AI agents — scope, autonomy, context awareness, best-fit use cases, and how to choose for your team.

















