Latest Updates

Documenting code, one commit at a time.

JavaScript Node.js

Independent Control for LinkedIn Post Generation

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"

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JavaScript Mermaid

Handling Mermaid Diagram Rendering Errors

Sometimes, the most challenging bugs are not in the core logic, but in the tooling around it. Recently, while working on the diagram rendering service for a project, I encountered an issue where invalid Mermaid syntax would cause the entire process to hang. Here's how I tackled it.

The Problem

The diagram rendering service, used for generating visualizations, relied on an external script to

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PHP Mermaid

Improving Code Quality with Consistent Mermaid Diagram Generation

Introduction

Ensuring consistent code quality and documentation can be a challenge. One area where consistency is crucial is in the generation of diagrams for technical documentation. This post discusses how we've improved the consistency and validity of Mermaid diagrams generated as part of our technical writing process for the devlog-ist/landing project, which provides a landing page for

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Enhancements to Referral Program, Dev.to Integration, and Terms Update

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.

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Enhancing Content Discoverability for AI

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.

The Goal

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.

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Improving AI Usage Tracking with Refactored Queries

Optimizing AI Token Usage Queries

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 Changes

The primary focus was on improving the efficiency of retrieving daily and monthly tenant AI usage data. This was achieved through two key changes:

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Enhancing Content Generation with Dynamic Post Creation

Introduction

In the realm of automated content creation, achieving variety and maintaining engagement are key challenges. This post explores a technique for enhancing the dynamism of auto-generated posts by introducing an element of randomization into the content selection process.

The Challenge: Monotony in Automated Content

Automatically generating posts can become repetitive if the

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