blogs

Multi-Agent Systems — When One AI Agent Isn't Enough

What happens when you give multiple AI agents different roles and let them collaborate? From supervisor patterns to swarm intelligence, let's explore how multi-agent orchestration works and when it actually makes sense.

2026-06-08

Web Performance That Actually Matters — A Practical Guide to Core Web Vitals

LCP, INP, CLS — these aren't just Google metrics. They directly impact user experience and SEO. Here's a practical guide to measuring, debugging, and fixing Core Web Vitals in real applications.

2026-05-30

RAG Done Right — Building Retrieval-Augmented Generation That Actually Works

Everyone's building RAG systems, but most of them suck. Let's go beyond naive vector search and build RAG that actually retrieves relevant context and generates accurate answers.

2026-05-15

Event-Driven Architecture — Patterns That Actually Scale

From event sourcing to CQRS to saga patterns — a practical look at event-driven architecture patterns, when to use them, and the hidden complexity nobody warns you about.

2026-05-12

Building AI Agents From Scratch — Beyond Simple Chat Completions

AI agents are more than prompt chaining. Let's build an agent from scratch with tool use, memory, planning, and self-correction — and understand the architecture patterns that make agents actually useful.

2026-04-22

Virtual DOM vs Signals — The Future of Frontend Reactivity

React's Virtual DOM diffing was revolutionary. But Solid, Svelte, and Angular are betting on signals and fine-grained reactivity. Who's right? Let's compare the two paradigms and understand the trade-offs.

2026-04-18

Raft Consensus Algorithm — How Distributed Systems Agree on Things

How do multiple servers agree on the same value when any of them could fail at any time? Raft makes distributed consensus understandable — let's walk through leader election, log replication, and safety guarantees.

2026-04-05

React Server Components — What Changes and Why It Matters

React Server Components fundamentally change how we think about React. Let's break down the mental model, understand the server-client boundary, and see how RSC reduces your JavaScript bundle to almost nothing.

2026-03-25

The CAP Theorem — What It Actually Means (And What People Get Wrong)

CAP theorem is one of the most misunderstood concepts in distributed systems. Let's cut through the confusion and understand what consistency, availability, and partition tolerance really mean in practice.

2026-03-10

Write-Ahead Logging — How Databases Survive Crashes Without Losing Your Data

Your database just crashed mid-transaction. How does it recover without losing committed data or applying half-finished writes? The answer is WAL — let's break it down.

2026-02-28

MVCC — How Your Database Handles Thousands of Concurrent Reads and Writes

Ever wondered how PostgreSQL lets multiple users read and write at the same time without stepping on each other? Let's explore MVCC, transaction isolation levels, and the hidden cost of bloat.

2026-01-20

Understanding Database Sharding — When and How to Split Your Data

A deep dive into database sharding strategies — horizontal vs vertical partitioning, consistent hashing, and when you actually need sharding vs when you're over-engineering.

2025-12-15

Index Scan vs Sequential Scan vs Bitmap Scan

In this post, we explored how PostgreSQL chooses between different scan methods based on table size, index availability, and query selectivity.

2025-11-23