## Description
- Removed the final use of klona, which was a significant contributor to
performance bottlenecks in our evaluation cycles.
- Enhanced the dataTree reduction logic to improve the quality of diff
updates. Previously, some diffs were not applied correctly, potentially
leading to stale application states. This change should reduce related
Sentry-reported issues.
- In a configured customer app running on Windows, we observed
approximately a 1-second improvement in LCP. Additionally, overall Web
Worker scripting time is expected to decrease by about 29.6%. These
optimizations primarily target update evaluation cycles and should lead
to noticeably improved app responsiveness.
## Automation
/ok-to-test tags="@tag.All"
### 🔍 Cypress test results
<!-- This is an auto-generated comment: Cypress test results -->
> [!TIP]
> 🟢🟢🟢 All cypress tests have passed! 🎉🎉🎉
> Workflow run:
<https://github.com/appsmithorg/appsmith/actions/runs/14475541362>
> Commit: 9d0b751c6da7675938e53bd11ae5f2a0158e144a
> <a
href="https://internal.appsmith.com/app/cypress-dashboard/rundetails-65890b3c81d7400d08fa9ee5?branch=master&workflowId=14475541362&attempt=1"
target="_blank">Cypress dashboard</a>.
> Tags: `@tag.All`
> Spec:
> <hr>Tue, 15 Apr 2025 18:35:25 UTC
<!-- end of auto-generated comment: Cypress test results -->
## Communication
Should the DevRel and Marketing teams inform users about this change?
- [ ] Yes
- [ ] No
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## Summary by CodeRabbit
- **Bug Fixes**
- Improved error handling for evaluation errors, with enhanced logging
and reporting for specific error types.
- **Tests**
- Added comprehensive test cases covering data tree type changes, update
cycles, error handling during state updates, and evaluation flow
accuracy.
- **Refactor**
- Refactored data tree diffing, update logic, and evaluation state
management for better modularity, error resilience, and control flow
during evaluation cycles.
- **New Features**
- Introduced granular tracking, serialization, and application of data
tree updates to improve performance and reliability.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
f9d2e2f0ab