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
When working on web applications, ensuring that all components render correctly across different environments is crucial. In the devlog-ist/landing project, a recent commit focused on restoring the visibility of a diagram section within the PostResource component. This seemingly small change can have a significant impact on the user experience, ensuring that visual elements are displayed as
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
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.
Modern e-commerce platforms often leverage promotional codes to drive sales and enhance customer experience. Integrating these codes seamlessly into the checkout flow is crucial for maximizing their effectiveness.
A well-designed checkout process should provide a clear and intuitive way for users to apply promotion codes.
Making content easily discoverable for AI search engines is crucial for broader reach. Here's how we improved the accessibility of our tenant portfolio content.
Our primary objective was to enable AI search engines to easily discover and consume tenant portfolio content. This involved providing machine-readable endpoints that expose content in a structured and easily parsable manner.
Our landing page was primarily targeted towards individual developers. To broaden our reach, we've pivoted to include a stronger B2B narrative and activate our Enterprise plan.
The previous landing page lacked specific content and messaging to attract institutions such as academies, bootcamps, and universities.
To create a more engaging landing page experience by embedding a short, autoplaying promotional video.
A dedicated video project was created using Remotion v4 to produce a 20-second promotional video. The video highlights key features and provides a call to action.
The video was structured into five distinct scenes:
Our application needed to support multiple languages for promo videos, ensuring a localized experience for users across different regions. This included translating video content and optimizing video formats for efficient delivery.
We implemented a solution involving content localization, component updates for internationalization (i18n), and video format
Our team has been working on streamlining the video rendering process for our landing page promos. This update focuses on simplifying the output format to a single standard: MP4.
The previous setup involved generating both MP4 and WebM formats for different browsers and devices. This required maintaining separate rendering configurations and increased storage
