Validation is where Behaviour-Driven Development either earns trust or quietly loses it. Teams can spend time agreeing behaviour and writing clear scenarios, but without visible validation those scenarios don’t carry much weight. If people can’t see what has actually run — and what the outcome was — BDD starts to feel theoretical rather than reliable. […]

BDD automation is often where expectations and reality start to drift apart. Teams talk about “automating BDD” as if it is the goal in itself. In practice, automation is just one part of the picture. It’s useful only if it reinforces the behaviour that was agreed earlier — not if it quietly replaces it. Automation

Gherkin scenarios in Jira are often treated as the point where BDD becomes “real”. In practice, formulation is where BDD either becomes genuinely useful — or quietly turns into another artefact that people stop trusting. Formulation sits between discovery and execution. It is the stage where discussions and examples are turned into something precise enough

Most Agile teams say they practise Behaviour-Driven Development. Fewer can clearly point to where the behaviour was actually agreed. That usually comes down to discovery. Discovery is the point where teams are supposed to align on what a system should do before development starts. It’s also the stage that quietly gets rushed, diluted, or pushed

AI-driven BDD is increasingly being used by Agile teams to support the creation and maintenance of Behaviour-Driven Development scenarios. AI is starting to play a role in how Agile teams create and maintain Behaviour-Driven Development (BDD) scenarios. Its value, however, is often misunderstood. AI does not replace collaboration, product ownership, or decision-making. In modern BDD