Documenting code, one commit at a time.
The devlog-ist/landing project focuses on creating landing pages. Recently, we tackled a performance bottleneck during the LinkedIn publishing process. The issue arose from sending large base64 encoded images directly within the publish request, leading to 413 errors from Nginx due to exceeding the maximum request size.
LinkedIn's API has limits on request size. Sending a
The devlog-ist/landing project focuses on creating landing pages and managing content for various platforms. This post details the addition of an independent LinkedIn random mode for post generation.
Previously, the application used a single random mode toggle that controlled whether random post examples and prompts were used across all platforms.
When developing tools for content generation, flexibility is key. A recent update to the devlog-ist/landing project focuses on providing more granular control over how content is generated for different platforms. Specifically, we've decoupled the random mode setting for LinkedIn from the portfolio's random mode.
Previously, a single "random mode"
When generating content for LinkedIn using AI, it's crucial to tailor the prompts for conciseness and engagement. The goal is to create posts that fully encapsulate the idea within LinkedIn's character limit, avoiding truncation and maximizing impact.
Key optimizations include instructing the AI to generate short, focused content (around 2500 characters), structured in 3-5 paragraphs.
Working on the landing project, which is focused on creating a compelling user experience, we've recently enhanced our testing strategy to ensure the reliability of our GitHub API integrations.
The goal was to catch potential issues arising from changes to the GitHub API, preventing silent failures in our application. We've implemented a suite of integration tests that validate the structure of
This update introduces an enhanced referral program with tiered commissions, seamless Dev.to integration, and updated terms and conditions to reflect these changes.
The referral program has been expanded with the addition of a dedicated landing page, complete with details about the program, commission rates, and automated tools.
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.
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.
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
