Insights on Software Architecture, AI, and Engineering Leadership.
TL;DR Most developers treat AI as a "black box", we send a JSON payload to an API and get a string response. This article breaks down what happens inside that box: from tokenization and vector embeddings to the Transformer architecture and the probab...
TL;DR: The Responses API gives you simpler request/response semantics, richer streaming events (including function calls), first‑class tool use, and persistent conversations. This guide shows exactly how to migrate a production app—how to handle stre...
Introduction We have all seen how fast AI is evolving. From code generation to scaffolding entire modules, tools like ChatGPT, GitHub Copilot, and others are already part of many engineers daily routines. But one approach that stands out and is rapid...
Introduction AI is evolving rapidly, and while cloud-based AI services are great, they come with privacy concerns, API limits, and server downtime. What if you could run DeepSeek R1 on your own machine without depending on external servers? In this g...
The AI landscape is evolving rapidly, and DeepSeek AI has emerged as one of the most talked about tools in recent months. If you are a developer, AI enthusiast, or someone keeping an eye on emerging technologies, you must have heard about it. But wha...
Disclaimer:Please keep in mind that what I’m sharing here is based on my personal thoughts, observations, and research. I’m not an AI expert or scientist, but these are the questions and ideas that have been on my mind. Also, I have personally been u...
