Archives

A detailed architecture guide for production AI agents with typed tools, bounded autonomy, state machines, approvals, security, observability, and evaluation.

A detailed systems-level tour of database pages, row layouts, B-trees, buffer pools, MVCC, write-ahead logging, recovery, and performance tradeoffs.

How Gemini-style multimodal models are trained and served: text, image, audio, video, long context, tool use, MoE ideas, and how open models like Kimi are designed.

A detailed guide to embeddings, vector indexes, chunking, hybrid retrieval, reranking, citations, evaluation, and secure production RAG systems.

There's already an AI model in every digital thing. If you don't believe me, check Hugging Face. Here's how we got here and what it means.

Everything you need to know about how memory actually works — from stack vs heap to virtual memory, paging, cache hierarchy, and why understanding this makes you a better engineer.

A deep dive into building a realistic high-frequency trading system — from order book data structures to lock-free algorithms, kernel bypass networking, and a backtesting engine.

A practical, production-focused guide to building WebRTC applications with signaling, ICE, media adaptation, data channels, recovery, security, and observability.

Modern web development is assembling pre-built blocks. AI is great at connecting them. Here's why that matters.

What if you could turn YouTube into unlimited cloud storage? I built a system that hides files inside video frames using C++ and clever math.

A practical deep dive into how data actually travels across the internet — from physical cables to cloud infrastructure, routing, firewalls, and VPNs.

Everything you need to know about how devices actually talk to each other — from TCP handshakes to HTTP/3, WebSocket, DNS, and load balancers.

Building a real-time raytracing engine from scratch — reflections, shading, and light transport computed live on the GPU.