Mastering System Design: 10 Key Pillars Every Engineer Should Know Designing scalable, reliable, and efficient systems starts with understanding these 10 core pillars that form the foundation of modern system architecture. 1. APIs & Security Covers REST, gRPC, GraphQL, rate

Every time you order food, send a message, refresh your timeline, or make a payment… an API call is happening somewhere behind the scenes. But building APIs is only one part of the job. The real challenge is designing the application architecture behind them. Let’s break it

Stop using vector search everywhere! A 30-year-old algorithm with zero training, zero embeddings, and zero fine-tuning still powers Elasticsearch, OpenSearch, and most production search systems today. It's called BM25. Let me explain what makes it so powerful: Imagine you're

thatsMinimumRequirement redd.it/1sd5ivq

Git Flow - Finally makes sense 🔁 main → production develop → working branch feature → build release → stabilize hotfix → fix production fast Most people memorize Git. Top engineers visualize it.

35 System design concepts clearly explained: 1. Event-driven architecture: lucode.co/event-driven-a… 2. gRPC: lucode.co/grpc-explained… 3. Database types: lucode.co/database-types… 4. CAP theorem: blog.levelupcoding.com/p/cap-theorem-… 5. Microservices: lucode.co/microservices-… 6. Sync vs Async:

A must-know of configurations for anyone programming in TypeScript (or learning) 👆 I will disagree with erasableSyntaxOnly though. #TypeScript #JavaScript #CleanCode #coding youtube.com/watch?v=35cESn…

𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 𝗥𝗲𝗱 𝗙𝗹𝗮𝗴𝘀 In his now-famous software design book, "𝗔 𝗣𝗵𝗶𝗹𝗼𝘀𝗼𝗽𝗵𝘆 𝗢𝗳 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘀𝗶𝗴𝗻," Professor John Ousterhout of Stanford University explained the rationale behind many good and bad practices in

Layers of AI

Caching (Redis, Memcached) What is Caching? Caching is the process of storing frequently accessed data in a temporary storage (cache) so future requests can be served faster. Instead of querying the database every time, the system retrieves data from the cache, reducing

RAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector DB. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by enabling the

RAG has three generations. Most teams are still on the first one. 🧠 Classic RAG → Retrieves Fast, simple, single-hop. Perfect for FAQs and policy lookups. Graph RAG → Connects Entity-rich and relational. Shines when the answer lives *between* documents, not inside them.

youtube.com/watch?v=-95FNm… Here we go! All seniors and staff engineers saw this coming! #SoftwareEngineer #AgenticEngineering #AgenticAI #coding #webdev Simply the next big abstraction layer in software.

Programming languages and what they’re built with • C → Written in Assembly • C++ → Written in C • Java → Written in C++ • Python → Written in C • JavaScript (V8 engine) → Written in C++ • Go → Written in C (initially), now mostly Go • Rust → Written in Rust

Still having mixed conclusions about this new version. Economically, it doesn't seem worth it. #AgenticEngineering #AgenticAI #LLM #AI claudecodecamp.com/p/i-measured-c…

The 20 Software Engineering Laws Most engineers learn these laws the hard way You learn them when your rewrite collapses or when a late project gets three more engineers and dies faster. Sometimes you learn it when a metric becomes a target, and the whole team starts gaming it.

- Luck creates openings. - Consistency keeps you in motion. - And persistence keeps you from leaving too early. Most “lucky breaks” only become useful because someone was still present, still improving, still trying, still visible, still reachable, or still prepared when the