Prabu Subramaniyan

Senior Full stack Developer @Boeing

[Pallavi @pallavishekhar_]

AI Engineering Interview Questions Company Wise

https://t.co/RI0CMBoZXN

[Neo Kim @systemdesignone]

If you want to get started with system design, learn these 101 concepts (save now):

[Anatoli Kopadze @AnatoliKopadze]

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture

it's the clearest explanation I've seen of how ChatGPT and Claude actually work

useful whether you've never touched AI in your life or have been using it every day for the past year

i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI

you can find it below with ready-to-copy prompts and solutions

[Neo Kim @systemdesignone]

If you want to become a world-class software engineer (in 2026), read these newsletters 🧵

[Dinesh Verma @DINESHVERM578]

https://t.co/Txcjqa1Wyp

[Gunter Rotsaert @mydevlprplanet]

A nice set of guidelines for developing Restful APIs. Provided by Zalando.

https://t.co/dxyyvJgwjE

[Igor De Souza @Igfasouza]

Kafka Beyond APIs: 30 Architecture Questions I've Seen Matter in Real Systems

#apachekafka

https://t.co/YrGdFrPIuY

[Dhanian 🗯️ @e_opore]

50+ Backend Project Ideas For Developers.

Grab the Backend Projects Handbook:
https://t.co/IJN0CoY9ej

[ayush🔮👨‍💻🔮 @ayushagarwal027]

🦀 Microsoft just open-sourced a comprehensive Rust training curriculum and it's impressive.

The microsoft/RustTraining repository on GitHub offers 7 structured books covering Rust from beginner to expert level, designed for developers coming from different backgrounds:

🟢 Bridge Books (start here):
• Rust for C/C++ Programmers
• Rust for C# Programmers
• Rust for Python Programmers

🔵 Deep Dive: Async Rust (Tokio, streams, cancellation)
🟡 Advanced: Rust Patterns (Pin, allocators, lock-free structures)
🟣 Expert: Type-Driven Correctness (type-state, phantom types)
🟤 Practices: Rust Engineering (CI/CD, cross-compilation, Miri)

Each book includes 15–16 chapters, Mermaid diagrams, interactive Rust playgrounds, and exercises.

Whether you're a systems programmer migrating from C++, a .NET developer exploring performance-critical code, or a Pythonista tired of the GIL, there's a path for you.

⭐ Already at 500+ stars. Fully open source (MIT + CC-BY-SA-4.0).

👉 https://t.co/VrI8IDPqdd

Rust is becoming a serious part of the industry stack. If you've been waiting for a structured way to learn it, this might be it.

#Rust #Programming #OpenSource #Microsoft #SoftwareEngineering #SystemsProgramming #Learning

[Dhanian 🗯️ @e_opore]

MICROSERVICES ARCHITECTURE IN SYSTEM DESIGN

→ Microservices Architecture is a system design approach where an application is built as a collection of small, independent, and loosely coupled services.
→ Each service focuses on a single business capability and can be developed, deployed, and scaled independently.

→ CORE CONCEPT

→ Monolithic Application → Split into Independent Services
→ Each Service → Own logic → Own database → Own deployment lifecycle
→ Services communicate via APIs or events

→ KEY CHARACTERISTICS

→ Single Responsibility → each service handles one business function
→ Loose Coupling → services do not depend on internal logic of others
→ Independent Deployment → changes in one service do not affect others
→ Technology Diversity → each service can use different tech stacks
→ Fault Isolation → failure in one service does not crash the whole system

→ MICROSERVICES COMPONENTS

→ Client → API Gateway → Microservices
→ API Gateway → authentication → routing → rate limiting
→ Microservices → User Service → Order Service → Payment Service
→ Each Service → Own Database
→ Message Queue/Event Bus → async communication
→ Service Registry → service discovery
→ Load Balancer → distributes traffic

→ COMMUNICATION PATTERNS

→ Synchronous Communication
→ REST or gRPC → request/response
→ Simple but tightly coupled

→ Asynchronous Communication
→ Events → Message Queues (Kafka, RabbitMQ, SQS)
→ High scalability → loose coupling

→ DATA MANAGEMENT STRATEGY

→ Database per Service → no shared databases
→ Data consistency → achieved using events
→ Eventual consistency → preferred over strong consistency
→ Saga Pattern → manages distributed transactions

→ SCALING IN MICROSERVICES

→ Scale services independently based on load
→ High-traffic service → scale out only that service
→ Auto-scaling → Kubernetes / Cloud platforms
→ Horizontal scaling → preferred approach

→ FAULT TOLERANCE & RESILIENCE

→ Circuit Breaker → stops cascading failures
→ Retry Mechanisms → handles temporary failures
→ Timeouts → prevents resource blocking
→ Bulkhead Pattern → isolates failures

→ DEPLOYMENT & ORCHESTRATION

→ Containerization → Docker
→ Orchestration → Kubernetes
→ CI/CD Pipelines → automated testing & deployment
→ Rolling Updates → zero downtime deployments

→ OBSERVABILITY

→ Centralized Logging
→ Distributed Tracing
→ Metrics & Monitoring
→ Health Checks for each service

→ PROS OF MICROSERVICES

→ High scalability
→ Faster development cycles
→ Independent team ownership
→ Better fault isolation
→ Cloud-native compatibility

→ CONS OF MICROSERVICES

→ Increased system complexity
→ Network latency
→ Data consistency challenges
→ Higher operational overhead
→ Requires strong DevOps practices

→ WHEN TO USE MICROSERVICES

→ Large-scale applications
→ Rapidly growing user base
→ Multiple development teams
→ Systems requiring high availability and scalability

→ QUICK TIP

→ Microservices Architecture enables:
→ Independent development and scaling
→ Resilient and fault-tolerant systems
→ Faster innovation and deployment
→ Modern cloud-native system design

SYSTEM DESIGN HANDBOOK (FULL GUIDE):
https://t.co/aE1KNO7yX5

[SumitM @SumitM_X]

Senior backend devs , do this :

[SumitM @SumitM_X]

Senior Java devs , do this :

[Python Developer @PythonDvz]

Agentic RAG Tech Stack

[Python Developer @PythonDvz]

Layers of AI

[Saquib Aftab @iamsaquibdev]

DSA Patterns for Coding Interviews ✅

[Akshay 🚀 @akshay_pachaar]

I switched to AI Engineering 2 years ago!

It was the best career move I ever made.

If you want to start today, here's a roadmap:

[Skilled Coder @theskilledcoder]

Algorithm Upgrades: From Naive → Optimal

[Neo Kim @systemdesignone]

If I had to scale a site to 1 million users, here's what I'd do (step by step):

[Nina @HeyNina101]

This is the most complete structure I’ve seen for learning how AI agents actually work. It covers what matters, in the right order, without overcomplicating it.

[Saquib Aftab @iamsaquibdev]

Spring Boot with Virtual Threads vs. WebFlux : Full Comparison ✅