I Tested Cursor 3.4's Cloud Agents on 18 Tasks — Its 70% Cache Killed My Local Docker Loop

Editor's take

Cursor's latest update, version 3.4, introduced cloud-based agents designed to streamline multi-repository workflows and improve Docker build efficiency through enhanced caching. This development is significant because it directly addresses common developer pain points: slow build times and complex dependency management across multiple codebases, a persistent challenge as projects scale and team collaboration increases. The integration of build-scoped secrets and improved Dockerfile layer caching aims to reduce the friction inherent in modern software development environments.

The reported 70% cache hit rate, while impressive, suggests that the effectiveness of these agents may be highly dependent on the specific project structure and workflow. Future observations should focus on the real-world performance across a wider range of projects and team sizes, particularly concerning the persistence and reliability of the cache. Understanding the trade-offs between local and cloud agent processing, and how this impacts iterative development cycles for teams using tools like Docker, will be key to assessing its long-term impact.