Documenting code, one commit at a time.
In the devlog-ist/landing project, we're focused on delivering high-quality content. A crucial part of this is ensuring that AI-generated content meets our standards before it's published.
AI models, particularly when generating longer pieces of content, can sometimes be cut short due to token limits or other constraints.
Ensuring the quality of AI-generated content is crucial before it reaches the end user. This post details how we implemented content validation to detect and prevent truncated or incomplete AI-generated posts from being published in the devlog-ist/landing project.
AI models, especially when generating longer content, can sometimes be cut off
In the rapidly evolving landscape of AI-powered tools, clear communication is paramount. A recent update to the devlog-ist/landing project highlights this necessity, specifically in how these tools interact with platforms like LinkedIn.
AI-generated content, while powerful, often relies on markdown for formatting. However, platforms like LinkedIn don't fully
When creating visual assets for LinkedIn, especially banners, it's important to consider how LinkedIn's image compression might affect the final appearance. This post details how we addressed an issue where box-shadows on our landing page banners were causing undesirable compression artifacts after being uploaded to LinkedIn.
When creating images for social media, especially for professional platforms like LinkedIn, image quality is paramount. Recompression artifacts can significantly degrade the visual appeal of banners, leading to a less professional look. Here's how we tackled this issue in the devlog-ist/landing project, which, among other things, generates social media banners.
The devlog-ist/landing project focuses on creating an engaging landing page experience. A recent enhancement involved redesigning the LinkedIn banner to align with a neo-brutalist aesthetic.
The primary goal was to revamp the LinkedIn banner to match the landing page's retro style. This involved incorporating several key design elements:
When integrating AI into software development workflows, it's crucial to handle potential inconsistencies in the AI's responses. This post addresses a scenario where an AI service, designed to provide structured data, occasionally omits a specific key, leading to errors in the consuming application.
mermaid_diagramThe devlog-ist/landing project
We're constantly striving to improve the content generation process for the devlog-ist/landing project, which aims to create engaging and informative landing pages. Recently, we focused on enhancing the AI's ability to generate relevant diagrams for our technical blog posts. It turns out simply asking for a diagram isn't enough – you need to be specific about its purpose!
The devlog-ist/landing project aims to provide a customizable landing page experience. A key aspect of user experience is the pagination, which allows users to navigate through content easily. This post explores how we enhanced the pagination by introducing themed styles that align with different portfolio themes.
Previously, the pagination used a generic Laravel style, which
In the ongoing development of devlog-ist/landing, a project whose description was not provided, maintaining a consistent brand identity and relevant content presentation is crucial. This post explores recent enhancements focused on visual consistency in LinkedIn banner generation using brand colors, a white logo, and top tags by frequency.