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.

The Problem

LinkedIn's API has limits on request size. Sending a

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 Problem

The original PostResource table included a column labeled 'Post Reports'. This name was ambiguous and didn't clearly

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.

The Problem

Previously, the application used a single random mode toggle that controlled whether random post examples and prompts were used across all platforms.

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.

The Initial Design

Initially, the PostResource table included a column named 'Post Reports'.

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.

The Problem: One Size Doesn't Fit All

Previously, a single "random mode"

Working on the devlog-ist/landing project, we're refining the authentication flow. The goal is to streamline user registration and login, particularly for non-developers who might be contributing recommendations. We've adjusted the available OAuth providers to match user roles.

Previously, both GitHub and LinkedIn were presented as default options on the login and registration pages.

OAuth provides a streamlined approach to user authentication, but it's crucial to implement security measures that protect user data and prevent unauthorized access. A common scenario involves social login, where users authenticate via third-party providers like GitHub or LinkedIn.

The Problem: Unregistered Users and Automatic Registration

A potential vulnerability arises when users not yet

Overview

This update introduces an enhanced referral program with tiered commissions, seamless Dev.to integration, and updated terms and conditions to reflect these changes.

Referral Program Enhancements

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.

Introduction

This article discusses a common issue in applications using GitHub OAuth for authentication: inadvertently overwriting a user's existing token with one that has fewer permissions. We'll explore how to ensure the application preserves the user's original, broader-scoped token when requesting narrower scopes during subsequent logins.

The Problem

Many applications use GitHub

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.

Streamlining the Promotion Code Application

A well-designed checkout process should provide a clear and intuitive way for users to apply promotion codes.