Timetracer v1.4.0 adds native Django support and a streamlined pytest integration, addressing the most requested features since its launch. The tool records API interactions and dependencies, allowing developers to replay them locally to debug production issues without complex local setups.

This update is significant for Django developers managing large applications with complex dependencies like VPN-locked APIs or legacy systems. Instead of replicating entire enterprise infrastructure, teams can now record a session from staging and replay it on any machine for consistent debugging.

The new pytest plugin introduces three fixtures—`timetracer_replay`, `timetracer_record`, and `timetracer_auto`—replacing brittle mocks with real, recorded data snapshots. This makes integration tests more reliable and mirrors production behavior, reducing the 'it works on my machine' problem in CI/CD pipelines.