Bloblang playground just got smarter

The Bloblang playground has been enhanced with intelligent autocomplete features and improved collaboration tools to support developers in transforming and mapping data more efficiently. This update introduces a more intuitive autocomplete system that recognizes data types, structures, and context, offering relevant suggestions and dynamic metadata detection. Users can now benefit from function and method completion with parameter hints, streamlining the process of writing and testing Bloblang mappings. Additionally, the playground facilitates collaboration through exportable configurations, URL sharing, and importing previous sessions, making it easier to version control and share reusable transformations. These improvements aim to optimize workflows for those using Bloblang in data pipelines or Model Context Protocol (MCP) servers, with the playground evolving into a robust tool for both prototyping and production use.