> ## Documentation Index
> Fetch the complete documentation index at: https://docs.docketqa.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Changelog

> Technical updates to Docket 

# 🧠 Docket Technical Changelog

## **May 2026**

* **Universal modules.** One module is reusable across every browser viewport, iOS device, and Android device. The `viewport_width`, `viewport_height`, `browser_zoom`, `device_type`, and `device_name` fields have been removed from the module API.
* **Per-config step caches.** Recorded and self-healed steps stay sharp on every device / viewport / zoom they've been run against. `list-modules` adds a `config_key` query param to scope what's returned.
* **New Start Screen launcher.** The Start Screen button now opens a device picker grouped by platform with per-resolution entries and inline mobile app selection. Defaults follow the test you're viewing.
* **Screen Out of Sync overlay.** When the running worker drifts from the test's config, the stream shows an overlay listing the specific drifts and a single **Restart Screen** button. Run and Record are disabled until they match.

***

## **October 2025**

* Optimized AWS + Porter cluster configuration, cutting average browser-worker CPU/memory usage by \~22%.
* Tuned pre-check confidence threshold and CPU allocation logic per site for more stable agent runs.
* Added automatic weekly dependency vulnerability scans in CI/CD pipeline.
* Improved S3 object storage configuration with versioning + Object Lock for data integrity.
* Refactored internal monitoring to surface agent latency, memory, and timeout metrics in dashboard.

***

## **September 2025**

* Enhanced **self-healing agent** behavior for broken selectors, delayed elements, and network retries.
* Introduced **usage analytics** pipeline capturing test latency, pass/fail counts, and error codes.
* Benchmarked and tuned Playwright concurrency profiles across different CPU classes to reduce cold-start time.

***

## **August 2025**

* Deployed full AWS + Porter environment with staging + production clusters and load-balanced worker pool.
* Launched new vision model for Docket
* Introduced system health dashboard showing session errors, retries, and agent restarts.
* Improved Docker image build flow — reduced image size and deployment time by >30%.


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