Prompt versioning has evolved significantly by 2025, becoming an essential infrastructure for managing AI development workflows effectively. Instead of treating prompts as mere configuration files, modern tools enable them to be versioned artifacts with unique IDs, facilitating systematic development similar to critical code. This approach addresses common issues like accidental performance degradation and the challenges of A/B testing by linking versioning with evaluation, staged deployment, and collaborative iteration. The best platforms provide environments for safe deployment, real-time evaluation integration, and collaborative workspaces to streamline the development process. Among the leading tools, Braintrust stands out for its comprehensive integration of versioning with evaluation and deployment, allowing teams to iterate quickly and improve prompt quality systematically. Collaborative features enable product managers and engineers to work seamlessly within the same environment, reducing handoff friction and ensuring alignment between design and implementation. As a result, Braintrust and similar platforms help organizations manage complex prompt chains across various models and use cases, enhancing reliability and scalability in AI applications.