Product updates, implementation details, and field notes on getting an app running, who may reach it, and the record the next change starts from.
Articles, shipping notes, and the thinking behind how aidrop.it works.
Context engineering replaces prompt engineering by focusing on what the model knows, how it retrieves memory, and why that changes output quality.
Why CLAUDE.md helps coding agents but breaks down as full memory, and what a shared memory layer adds on top.
How to build an AI twin that works at your level by depositing decisions, standards, and domain knowledge into a memory layer.
Tiny daily memory deposits compound into a smarter AI workflow; here is how to build a habit that improves every future session.
A clear explanation of AI agent memory: context windows, retrieval, and persistent memory, and how the three layers work together.
