How AI coding assistants really work — context, retrieval, models — and how to set up a workflow that gets good code.
Paste any text to estimate how many tokens it uses, and see what that text would cost to send to each major model.
A developer-level look at how coding assistants assemble context, retrieve code, and why they confidently call functions that don't exist.
A concrete setup for editor, agent, context files, and guardrails so AI speeds you up instead of quietly adding risk.
How to match model tiers to real coding work — completion, refactors, agentic loops — without overpaying or waiting on the wrong tool.