Wednesday, October 14, 2026

How (and Why) I Built an AI Assistant

This article is an honest account of the process on why I built a custom AI assistant instead of just paying for one, what the architecture looks like, the actual code, what broke, and what it does now that I genuinely rely on.

3 Pandas Tricks for Data Cleaning & Preparation

In this article, we will walk through three essential Pandas tricks to clean and prepare your data efficiently: declarative method chaining, memory and speed optimization via categoricals and vectorized string accessors, and group-aware imputation using .transform().

Pairing Claude Code with Local Models

Local models in 2026 are good enough. For the tasks Claude Code handles daily: code completion, refactoring, debugging, codebase explanation; a well-chosen quantized model running locally covers the vast majority of real use cases at zero per-token cost and with no rate limits.