BDD (and Standard Cucumber Steps) Is a Great Fit for AI Agentic Coding (github.com)

A recent announcement highlights the strengths of Behavior-Driven Development (BDD) using Standard Cucumber Steps (SCS), particularly for AI-driven coding agents such as Claude Code and Copilot. By utilizing BDD, the process of generating code becomes more efficient and less prone to errors caused by AI hallucinations or "gaming" the tests. BDD separates the specification from the implementation, enabling AI agents to focus on writing code that meets clear, executable specifications written in plain language. The significance of this approach lies in addressing the common challenges faced by AI-generated code, where the correctness of output is often hard to ascertain. Traditional methods like unit tests verify how code operates but fail to ensure it does what it is intended to do. BDD's structured format helps create living documentation that the agents can maintain, fostering collaboration and transparency. This methodology not only simplifies code reviews but also amplifies the reliability and accuracy of AI-generated outputs, potentially revolutionizing development workflows in the AI/ML community.