Deep technical articles on distributed systems, AI engineering, system design, software architecture, and engineering leadership.
Most engineers learn DSA by reading pseudocode. I wanted to watch it. Here's how I built AlgoLens — 25+ interactive algorithm and system design visualizers — with zero external animation libraries.
Building real-time, event-driven architectures usually requires expensive persistent servers. Here is how I built a production-grade, fan-out notification engine — entirely serverless — using Next.js 16, Upstash Redis, and QStash.
RAG (Retrieval-Augmented Generation) is the most important AI architecture pattern of 2025. Here's how I built a production-grade document assistant — end to end — using Next.js 16, Google Gemini, and Pinecone.
Consistent hashing is one of those concepts that sounds academic until you understand what problem it solves. Once you get it, you'll see it everywhere — DynamoDB, Cassandra, CDNs, and more.
Message queues are one of the most powerful tools in a distributed systems engineer's toolkit. But choosing the wrong one can hurt you. Here's when to use SQS, Kafka, and SNS — and why.
Most engineers can build a social feed. Far fewer can build one that handles 10 million users without falling over. Here's exactly how I'd design it — and the trade-offs I'd make at every layer.
Distributed transactions are one of the hardest problems in microservices. Here's how the SAGA pattern solves it — and how I'd apply it to design Uber's ride booking system from scratch.
Most engineers know the acronym. Few can confidently apply it when designing real systems. Here's how to actually think about CAP theorem when making architectural decisions.