Building ChatGPT: A Comprehensive Guide to Large Language Models When you type a question into ChatGPT and press enter, what exactly happens behind that text box? This guide takes you through the entire pipeline of how …
Building Character-Level Language Models: From Bigrams to GPT-2 Character-level language models predict the next character in a sequence by learning patterns from training data. This tutorial builds these models …
Disciplined AI Software Development: A Structured Methodology for AI-Human Collaboration AI-assisted development often produces bloated code, architectural inconsistencies, and context drift across sessions. The …
The Mathematics Behind Large Language Models: A Physics Perspective Physics training provides an unexpected advantage for understanding Large Language Models. The mathematical foundations that seemed irrelevant in …
Defeasibility in Answer Set Programs with Defaults and Argumentation Rules Defeasible reasoning allows logical axioms to be true “by default” while permitting other conflicting axioms to undercut or negate …
Logic Programming with Defaults and Argumentation Theories: A Unified Framework for Defeasible Reasoning Logic programming faces a fundamental challenge: default negation, while powerful for common-sense reasoning, …
Building Supabase-like OAuth Authentication For MCP Servers MCP servers need OAuth2 authentication to work securely in production environments. The Model Context Protocol specification requires OAuth2 with Dynamic Client …
Augmented Coding: Beyond the Vibes Kent Beck distinguishes between casual AI assistance and disciplined augmented coding through his ambitious B+ Tree implementation project. The difference transforms how developers …
Should we revisit Extreme Programming in the age of AI? AI coding tools generate thousands of lines of code in minutes, but this speed creates new risks. Extreme Programming (XP) practices—designed for rapid feedback and …
Reverse Engineering Claude Code: The Secret Sauce Behind Better AI Coding Agents Claude Code outperforms other coding agents despite using similar underlying models. The difference lies in sophisticated prompt …
