All paths
intermediate

AI Engineering for Developers

Practical AI/ML for application developers — workflows, LLM integration, and production deployment.

Parts
10
Estimated time
~5 hours
Curated by
Bekzod Erkinov

Goal: Add AI capabilities to your applications safely and effectively

1

Decentralized Finance Protocol Comparison: Uniswap V3 vs SushiSwap vs Curve Finance - Performance, Security, and Use Cases

Uniswap V3, SushiSwap, and Curve Finance are popular DeFi protocols with different strengths and weaknesses. Understand their performance, security, and use cases to make informed decisions.

AI Workflows · 16 min read
2

Advanced Security Measures for Protecting Against Sophisticated Threats

Protecting against sophisticated threats requires a combination of advanced security measures, including firewalls, intrusion detection systems, encryption, secure coding practices, and threat intelli...

Artificial Intelligence · 18 min read
3

Real-World Examples of AI Integration in Web Development

AI integration in web development is a rapidly growing field that has the potential to improve the user experience and functionality of web applications. Learn how to integrate AI into your web applic...

AI Tutorials · 19 min read
4

Deep Dive into Next.js: Server-Side Rendering and Static Site Generation

Next.js is a powerful framework for building server-side rendered, statically generated, and performance-optimized web applications. Learn how to use Next.js to build fast, scalable, and maintainable...

Data Science · 32 min read
5

Mastering Automated Deployment with Docker and Kubernetes: A Deep Dive

Automated deployment using Docker and Kubernetes is a powerful way to deploy and manage applications. In this article, we'll explore the world of automated deployment and create a CI/CD pipeline using...

Data Science · 20 min read
6

Production-Ready Authentication: A Deep Dive into JWT, OAuth2, and Session Security

Learn how to implement production-ready authentication using JWT, OAuth2, and session security. This comprehensive guide covers the strengths and weaknesses of each, as well as real-world scenarios an...

Artificial Intelligence · 21 min read
7

Mastering CI/CD Pipelines with Jenkins and Docker: A Deep Dive into Automated Deployment and Testing

Learn how to implement a CI/CD pipeline using Jenkins and Docker to improve deployment time and reduce human error. Follow best practices and avoid common mistakes to get the most out of your pipeline...

Data Science · 14 min read
8

Advanced Tutorial: Implementing Real-Time Updates with WebSockets

Learn how we scaled WebSocket connections to 500K concurrent users while reducing server costs by 40%. Real production patterns, load testing results, and the gotchas nobody talks about.

Data Science · 37 min read
9

PostgreSQL Hidden Features That Cut Our Query Time by 73%: A Production Deep Dive

After scaling to 50M daily queries, we discovered PostgreSQL features that slashed response times from 2.1s to 580ms. Here's what the docs don't tell you about partial indexes, BRIN, and query plannin...

AI Tutorials · 20 min read
10

Deep-Dive: Understanding and Implementing API Security with JWT

Learn how we secured 50M+ API requests daily using JWT authentication. Real production patterns, security gotchas, and performance optimizations from building enterprise-grade auth systems.

Artificial Intelligence · 52 min read