Documenting code, one commit at a time.
We aimed to enhance the user experience on our application's welcome page by replacing static theme links with an interactive, inline preview feature. This allows users to visualize theme changes directly without navigating to external sites.
Previously, users had to click on external links to preview different themes. This process was disruptive and
Filament is a powerful tool for rapidly building admin panels. A common requirement is displaying related data directly within a resource's edit page. Let's explore how to use Filament's relation managers to achieve this, enhancing the user experience and data accessibility.
Relation managers in Filament provide an elegant way to display and
We've recently made improvements to our application's statistics charts, focusing on providing a more relevant historical view and enhancing code reusability across the platform.
Previously, our developer growth and contribution activity charts displayed data for the current calendar year. This approach limited the ability to easily compare performance
When dealing with multi-tenant applications, handling tenant removal gracefully is crucial for user experience and data integrity. This post discusses a strategy for tenant dissolution with a focus on minimizing disruption and providing users with options.
In a multi-tenant system, deleting a tenant can have significant implications for its users.
We recently encountered a peculiar font rendering issue in our application where CSS font-family declarations within <style> tags were being improperly escaped. This resulted in the browser ignoring the intended font styles. Here's how we diagnosed and resolved the problem.
When using Blade's {{ }} syntax to output the font-family CSS property, single quotes within the font
Managing resource quotas across multiple tenants can be challenging, especially when the need for manual overrides arises. This post explores how we refactored our token usage service to implement a tenant-centric quota system with support for manual adjustments.
Previously, our token quota management was user-based. This created inefficiencies when the context already provided
Maintaining data consistency across distributed systems and applications often requires careful management of caches. Stale data in caches can lead to unexpected behavior and inconsistencies. We recently implemented several enhancements to our application's caching strategy, focusing on proactive invalidation to ensure data accuracy and prevent outdated information from impacting
During a recent update, we encountered an issue where partial failures during data synchronization could lead to data loss. This post details the problem and the solution implemented to ensure data integrity.
Our application relies on synchronizing data from an external source. The synchronization process involves fetching and updating various data points.
We've recently refactored and optimized our AI token usage tracking to improve performance and maintainability. This involved extracting duplicated queries and enhancing user filtering.
The primary focus was on improving the efficiency of retrieving daily and monthly tenant AI usage data. This was achieved through two key changes:
Recent commits to our application focused on improving the reliability and efficiency of our caching mechanisms, as well as enhancing the overall robustness of the codebase. These changes aim to prevent race conditions and reduce the risk of errors during refactoring.
A key improvement involves replacing Cache::has and Cache::put with the atomic
