How can you improve performance when working with JSON in Go applications?

Improving performance when working with JSON in Go applications involves various strategies to minimize overhead and optimize resource usage. One approach is to minimize allocations during JSON encoding and decoding by reusing buffers and pools where possible. This helps reduce memory churn and improves efficiency, especially in high-throughput scenarios. Additionally, precomputing JSON encoding for frequently used data can save processing time by caching serialized representations. While using a faster JSON encoding library may offer some performance gains, the built-in encoding/json package in Go is generally efficient for most use cases. Finally, leveraging concurrency for parallel JSON operations can further enhance performance by utilizing multiple CPU cores effectively. By applying these techniques judiciously, developers can achieve better performance when working with JSON in Go applications.