This post explores the recent updates to the devlog-ist/landing project, focusing on the strategic seeding of prompts and examples designed to streamline and enhance content creation for both portfolio development and LinkedIn engagement.

The Goal

The primary objective was to provide users with a robust set of starting points to overcome the initial hurdle of content generation.

This post details the addition of a portfolio_url column to the PostResource table within the devlog-ist/landing project. The devlog-ist/landing project is responsible for the landing page and related resources.

The Change

A new column, portfolio_url, was added to the PostResource table. This allows associating a URL to a portfolio or external resource related to a specific post.

Introduction

In web applications, displaying certain data based on specific conditions is a common requirement. This post delves into how the devlog-ist/landing project implemented conditional display of the portfolio URL column, enhancing the user interface by showing the column only for published posts.

The Challenge

The initial design of the devlog-ist/landing project displayed

Introduction

In content management systems, providing easy access to the published output is crucial for content creators. A common frustration is the need to navigate through multiple screens to view the final result of their work. This update to the landing page project addresses this issue by adding a direct link to the published portfolio post from the edit page.

The Problem

This post details recent improvements to the devlog-ist/landing project, which is designed to create effective landing pages.

We focused on refining how prompts are displayed and improving the post editing form to include a portfolio URL.

Bullet List Rendering for Prompts

Previously, portfolio and LinkedIn prompts were rendered as plain text. To enhance readability and organization, we've

Introduction

The devlog-ist/landing project focuses on creating an engaging landing page experience. A key aspect of a successful landing page is readability, ensuring content is easily accessible across different devices and screen sizes. This post details improvements made to enhance text readability on the landing page, specifically focusing on dynamic text scaling.

The Problem

Introduction

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

The landing project aims to provide a public-facing website. We've been working on improving its search engine optimization (SEO). This ensures the site is easily discoverable and receives explicit indexing signals on every crawlable page.

The recent updates focused on adding meta robots directives to control indexing and following behavior, canonical URLs to avoid duplicate content issues,

Improving the auditability of AI interactions is crucial for maintaining security and control. A recent update focuses on preventing the exposure of raw code to AI models, enhancing data security, and providing better insights into flagged code changes.

The Challenge of Raw Diffs

Previously, raw git diffs were sent to AI models for analysis. This approach, while providing detailed context,

This post discusses recent improvements to our application, focusing on enhanced security measures and smarter code generation capabilities.

Safe Mode Implementation

We've introduced a 'safe mode' feature, giving tenants more control over security audits during post generation. By default, safe mode is enabled, ensuring all generated content undergoes a thorough security check.