Documenting code, one commit at a time.
This post details a small but important change in how we generate content for sharing on LinkedIn, focusing on aligning the tone with the platform's user experience.
The primary goal was to shift the voice of automatically generated LinkedIn share posts to a first-person perspective. Since the posts are published from the user's profile, using "I" instead of third-person references
In the ongoing development of devlog-ist/landing, a project focused on creating engaging landing pages, a recent refactoring effort centered on enhancing the clarity and maintainability of our data structures. Specifically, we focused on the PostResource table.
The original PostResource table included a column labeled 'Post Reports'. This name was ambiguous and didn't clearly
This post delves into a recent refactoring effort within the devlog-ist/landing project, focusing on enhancing the structure and clarity of the PostResource table. The primary goal was to replace the 'Post Reports' column with 'Scheduled For', aiming for a more intuitive and maintainable data model.
Initially, the PostResource table included a column named 'Post Reports'.
Sometimes, seemingly small changes can significantly improve code clarity and maintainability. This post explores a refactoring effort focused on streamlining data representation within a project.
Initially, a particular feature within the devlog-ist/landing project used a column named 'Post Reports' in the PostResource table.
This post details a recent refactoring effort within the devlog-ist/landing project, focusing on improvements to content generation workflows. By separating concerns and enhancing the user interface, we've aimed to create a more maintainable and user-friendly experience.
Previously, the logic for generating content, particularly for platforms like LinkedIn, was tightly
We recently added a "Share on LinkedIn" feature to our landing page project, devlog-ist/landing. The goal was to increase user engagement and expand the reach of user portfolios by enabling seamless sharing on LinkedIn. This post details the implementation process, covering AI-powered post generation, direct publishing via the LinkedIn API, and considerations for different user
We've recently enhanced our platform to allow users to automate content publishing to external platforms like LinkedIn and Dev.to. This feature aims to simplify the content creation and distribution process by enabling users to set default publishing preferences.
This enhancement introduces the ability for users to manage their auto-publishing
Improving the accuracy and scope of technology detection is crucial for generating relevant and informative content. A recent update introduces rule-based technology detection, significantly expanding our ability to identify the technologies involved in code changes. This enhancement allows for more precise tagging and categorization of blog posts, benefiting both content creators and readers.
This post details how we streamlined our content generation process to improve security, consistency, and maintainability.
Previously, our application used separate code paths for generating content based on user prompts versus automatic generation. This divergence led to inconsistencies in security auditing, resource management, and error handling.
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:
