Datadog's Continuous Profiler provides detailed insight into the efficiency of application code by measuring execution time and resource utilization, enabling users to manage compute costs and optimize inefficient code. The profiler allows for continuous capture of code profiles for all production instances, providing a view of how performance changes over time, and helping users identify and fix performance bottlenecks. This feature is particularly useful in detecting code performance regressions, identifying the cause of increased latency in service endpoints, and comparing code performance between releases. By providing real-time monitoring and comparison capabilities, Datadog's Continuous Profiler enables developers to diagnose performance issues, optimize costly lines of code, and deploy fixes faster, ultimately improving their users' experience.