Meaning
A development approach where the AI acts as a collaborative coding partner, with the human developer maintaining oversight and making architectural decisions while the AI handles implementation details.
Definition
This mirrors traditional pair programming dynamics but with AI as the partner. The human focuses on high-level design, business requirements, edge cases, and code quality while AI handles syntax, boilerplate, and routine implementation. This division of labor maximizes both speed and quality.
Example
A developer describes the architecture: “We need a caching layer using Redis with 1-hour TTL, fallback to database queries, and cache invalidation on updates.” The AI implements the Redis client setup, caching logic, TTL management, and fallback handling while the developer reviews the implementation, suggests optimizations, and ensures it matches system requirements.
