Spec-Driven Development Might Be The Only Way To Keep AI Coding Agents From Going Off The Rails

Spec-driven development is becoming crucial for companies using AI coding agents to prevent technical debt and ensure predictable behavior. AI agents can build features quickly, but without direction, they may introduce chaos into production. To fix this, define clear specifications before code starts, including user goals, functional rules, edge cases, and acceptance criteria. This approach ensures the specification becomes the source of truth before code starts. Reviewing the plan before implementation is key to staying code-literate in AI-driven development.