AIAgent

This article systematically explains the core concepts and four-stage workflow of Spec-Driven Development, as well as its fundamental difference from vibe coding. Drawing on today’s tools and maturity levels, it explains why writing a specification before implementation substantially reduces ambiguity and rework in the age of AI coding agents.

LangChain’s breakdown of the agent harness connects context engineering, memory, MCP, and the agent loop into one coherent map.

A long-form Prompt Engineering guide for AI application engineers, covering foundational principles, context design, task chains, injection defenses, agent prompt design, and evaluation-driven development.