Developers often face challenges when orchestrating complex workflows in distributed systems, which require managing long-running processes, coordinating asynchronous steps, and ensuring reliability amidst failures. Traditional solutions like explicit state machines can become complex and prone to errors as systems expand. Temporal offers a more developer-friendly approach by providing a durable execution model that abstracts the intricacies of distributed workflows, allowing developers to focus on business logic rather than infrastructure. Temporal enables developers to write straightforward code that functions as a state machine without the need for explicit state tracking, offering built-in retries, timeouts, and enhanced visibility for debugging. By automatically handling state persistence and recovery, Temporal simplifies the development of robust, fault-tolerant applications, reducing the need for manual failure handling and enhancing productivity. This approach results in cleaner, more maintainable code, as Temporal manages the underlying complexities of distributed workflow orchestration, making it a compelling alternative to traditional state machine implementations.