Documenting code, one commit at a time.
Providing users with options to personalize their experience can significantly improve satisfaction. A recent enhancement to our application allows users to select their preferred font from a curated list, offering a more tailored and visually appealing interface.
Customization empowers users, making them feel more in control and connected to the application.
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:
Developers often strive for efficiency, but sometimes, optimizing too early can lead to more problems than solutions.
Optimizing code before understanding its performance bottlenecks can waste time and introduce unnecessary complexity. It's tempting to micro-optimize, but it's crucial to identify the actual performance-critical sections first.
This post delves into optimizing SQL queries for product ranking and data aggregation, focusing on common pitfalls and effective strategies to enhance performance and accuracy. We'll explore techniques to address memory errors, improve query speed, and ensure data integrity when dealing with complex relationships and large datasets.
This update focuses on refining access control for AI settings and improving the Post Generator navigation within the application. Key changes include restricting access to AI configuration settings to superadmin users only and reordering the Post Generator in the navigation menu for improved user experience.
To enhance security and prevent
