What It Is
A person describes what they want in natural language and an AI assistant generates most of the code. The term was popularized in early 2025. It captures both the excitement of building quickly and the risk of trusting code that has not been fully understood.
Key Points
- Strengths: prototypes, internal tools, and exploration.
- Risks: security flaws, hidden bugs, and inconsistent architecture.
- Maintainability: code nobody on the team understands is hard to maintain.
- Safeguards: code review, automated tests, static analysis, and guidelines.
Why It Matters
Without discipline, speed today becomes technical debt tomorrow. Responsible teams combine AI generation with review and testing so productivity gains last.
How ClearLeaff Applies It
Our AI × SDLC approach keeps experienced engineers in the loop, using AI code copilots to accelerate delivery while maintaining enterprise quality and reliability.