AI Engineering and Architecture

Welcome to the knowledge base for AI engineering, system design, and software architecture.

Selected Readings

A short set of high-signal notes and article-based writeups worth opening first.

Notes on what agent instruction files should contain and how they fit into a broader context system.

A concrete starting point for measuring workflow quality instead of relying on intuition.

Why coding-agent speed does not remove the need for a human-held model of the system and its constraints.

Use the site by major topic area when you want the broader map instead of a single highlighted note.

Practical notes on LLM-based systems, evaluation workflows, and agent behavior.

Architecture, trade-offs, distributed systems, and interview-oriented design frameworks.

General software engineering practices, architecture thinking, and implementation discipline.