Transformer Basics: Encoder and Decoder
A clear explanation of what the Transformer encoder and decoder each do, grounded in the original architecture and illustrated with simple examples.
All Posts
Using Superpowers: Changing How I Work with Agents
An analysis of Superpowers — a skill library that injects disciplined development practices like TDD, debugging, brainstorming, and code review into AI coding agents — covering its architecture and design philosophy.
Playwright Architecture Explained — Why It Became the E2E Testing Standard
A deep dive into the Playwright repository — covering the core engine, client/server protocol, fixture-based test runner, why it has become so popular, why it feels slow when paired with an LLM, and what the alternatives look like.
Attention Is All You Need (2017) — Paper Notes
A reading note on the Transformer paper — the core ideas, why it mattered, and what to read next.
LLM Learning Basics: cross-entropy and perplexity
Explains cross-entropy and perplexity — the metrics used to measure how wrong a model is — with formulas, commentary, and examples.