AI coding assistants accelerate development but introduce tradeoffs around skill atrophy, codebase design, verification, and security that shape how much value they actually deliver.

Good API design hides complexity behind narrow, stable interfaces; sources here address that principle from schema validation in Angular HTTP layers, typed QuickBooks abstraction, component input discipline, and LLM-friendliness of deep modules.

The practical discipline of building, evaluating, and operating systems that use large language models, spanning knowledge architecture, agent control flow, inference optimization, and the human and organizational costs of getting it wrong.

A broad discipline covering architecture, tooling, testing, and craft decisions that determine how software is built, maintained, and extended — a theme connecting sources on agent reliability, CSS platform primitives, component design, shell scripting, and more.

Systems design is the practice of structuring software components so each can evolve, fail, or be replaced independently; sources here address this through agent architecture, interpreter construction, durable execution, module depth, and container isolation.