Tech Stack Recommendations for Modern Development

What I'd reach for when picking a tech stack in mid-2025: full-stack web, enterprise, mobile, and ML, plus design system choices.

M

Mustafa Furniturewala

CTO at Coursera

5 min read
A snapshot from mid-2025
Written in June 2025. Specific libraries and "current" picks age quickly; read this as a dated snapshot of what I'd reach for then, not a live recommendation.

Picking a stack is one of the first decisions on a project and one of the hardest to undo. What I look for: the team already knows it, it performs well enough, and it will still be maintained in a few years.

Here is what I would have picked in mid-2025 for a few common kinds of app, plus some design-system choices.

Web Development Stacks

Rapid Development Stack

Recommended For
Startups, MVPs, and teams prioritizing speed-to-market without sacrificing quality.

Technology Stack

  • Framework: Next.js 14+ with App Router
  • Styling: Tailwind CSS v3
  • Backend: Supabase or Firebase
  • Deployment: Vercel or Netlify

Key Benefits

  • Zero-config setup with excellent defaults
  • Built-in performance optimizations
  • Type safety with TypeScript
  • Automatic code splitting and lazy loading
  • Edge runtime support
// Example: API route with Next.js 14
// app/api/users/route.ts
import { NextResponse } from 'next/server'

export async function GET() {
  const users = await fetchUsers()
  return NextResponse.json({ users })
}

Enterprise Web Stack

Recommended For
Large-scale applications requiring fine-grained control and established patterns.

Technology Stack

  • Frontend: React 18+ with TypeScript
  • State Management: Redux Toolkit or Zustand
  • Backend: Node.js with Express or Fastify
  • Database: PostgreSQL with Prisma ORM
  • Caching: Redis
  • Infrastructure: Docker + Kubernetes

Architecture Considerations

  • Implement clean architecture principles
  • Use dependency injection for testability
  • Adopt domain-driven design for complex business logic
  • Implement comprehensive error handling and logging

Enterprise Platform Stacks

.NET Enterprise Stack

Technology Components

  • Frontend: Blazor or React with TypeScript
  • Backend: ASP.NET Core 8.0
  • Database: SQL Server or PostgreSQL
  • Message Queue: Azure Service Bus or RabbitMQ
  • Deployment: Azure Container Apps

Best Practices

  • Implement CQRS pattern for complex domains
  • Use MediatR for clean request handling
  • Adopt repository pattern with Entity Framework Core
  • Implement comprehensive logging with Serilog

Java Enterprise Stack

Technology Components

  • Frontend: Angular or React
  • Backend: Spring Boot 3.0+
  • Database: PostgreSQL or Oracle
  • Caching: Redis with Spring Cache
  • Message Queue: Apache Kafka
  • Deployment: AWS EKS or Red Hat OpenShift

Architecture Patterns

  • Microservices with Spring Cloud
  • Event-driven architecture with Kafka
  • API Gateway pattern for service aggregation
  • Circuit breaker pattern for resilience

Mobile Development

Cross-Platform Development

Choose React Native When
You need to share code between web and mobile, have React expertise, or prioritize development speed.

React Native Stack

  • Framework: React Native 0.72+
  • Development: Expo SDK 49+
  • State Management: Redux Toolkit or TanStack Query
  • Navigation: React Navigation 6
  • Testing: Jest + React Native Testing Library

Native Development

iOS Development

  • Language: Swift 5.9+
  • UI Framework: SwiftUI
  • Architecture: MVVM with Combine
  • Dependency Management: Swift Package Manager

Android Development

  • Language: Kotlin
  • UI Framework: Jetpack Compose
  • Architecture: MVVM with Kotlin Coroutines
  • Dependency Injection: Hilt

Data Science & Machine Learning

Python ML Stack

# Recommended package versions
ml_stack = {
    'core': {
        'python': '3.11+',
        'jupyter': 'lab',
        'poetry': 'latest'  # dependency management
    },
    'data_processing': {
        'pandas': '2.0+',
        'polars': 'latest',  # faster alternative
        'numpy': '1.24+'
    },
    'machine_learning': {
        'scikit-learn': '1.3+',
        'pytorch': '2.0+',
        'transformers': '4.30+'
    },
    'visualization': {
        'matplotlib': '3.7+',
        'seaborn': '0.12+',
        'plotly': '5.14+'
    },
    'deployment': {
        'fastapi': 'latest',
        'docker': 'required',
        'mlflow': 'optional'
    }
}

Modern Design Systems

Component Libraries Comparison

Mid-2025 Recommendations
I'd skip Material-UI for new projects. The libraries below are easier to customize and ship less CSS.

NextUI

  • Built on Tailwind CSS
  • Excellent accessibility out of the box
  • Modern API with great TypeScript support
  • Beautiful default theme

Park UI

  • Component-based installation
  • Built-in theme editor
  • Based on Ark UI primitives
  • Perfect for custom design systems

shadcn/ui

  • Copy-paste components
  • Full control over styling
  • Radix UI primitives
  • Rapidly growing ecosystem

Glassmorphism Implementation

.glass-card {
  background: rgba(255, 255, 255, 0.1);
  backdrop-filter: blur(10px);
  -webkit-backdrop-filter: blur(10px);
  border: 1px solid rgba(255, 255, 255, 0.2);
  border-radius: 16px;
}

Aurora Gradients

.aurora-background {
  background: linear-gradient(
    to bottom right,
    rgba(168, 85, 247, 0.4),
    rgba(59, 130, 246, 0.4),
    rgba(16, 185, 129, 0.4)
  );
  filter: blur(40px);
}

Architecture Best Practices

API Design

RESTful Principles

  • Use proper HTTP methods and status codes
  • Implement versioning from day one
  • Follow consistent naming conventions
  • Document with OpenAPI/Swagger

GraphQL Considerations

  • Use when clients need flexible data fetching
  • Implement proper error handling
  • Add query complexity analysis
  • Use DataLoader for N+1 query prevention

Security Essentials

Security Checklist
Do these before anything goes to production.
  • Implement proper authentication (OAuth 2.0, JWT)
  • Use HTTPS everywhere
  • Sanitize all user inputs
  • Implement rate limiting
  • Regular dependency updates
  • Security headers (CSP, HSTS, etc.)

Performance Optimization

Frontend Performance

  • Implement code splitting
  • Optimize images with next-gen formats
  • Use CDN for static assets
  • Implement proper caching strategies
  • Monitor Core Web Vitals

Backend Performance

  • Database query optimization
  • Implement caching layers
  • Use connection pooling
  • Horizontal scaling strategies
  • Performance monitoring (APM)

Decision Framework

Choosing Your Stack

Consider these factors when making technology decisions:

  1. Team Expertise - Leverage existing knowledge
  2. Project Requirements - Match tools to needs
  3. Community Support - Ensure long-term viability
  4. Performance Needs - Choose appropriate tools
  5. Budget Constraints - Consider licensing costs
  6. Time to Market - Balance speed with quality

Migration Strategy

When updating existing stacks:

  1. Audit current pain points
  2. Create proof of concepts
  3. Plan incremental migration
  4. Maintain backward compatibility
  5. Document architectural decisions

Conclusion

None of this is a rule. Start here, then check it against what your team knows and what the project needs.

A few related courses from the library, if you want a more structured next step.

Share X / Twitter LinkedIn