Building clear, concise documentation is a pain point for many developers. That’s why I set out to build an AI-powered knowledge base (KB) article generator — one that helps teams create consistent, high-quality docs with minimal effort.
In this post, I’ll walk you through my journey — from initial prompt engineering to a polished desktop app designed specifically for developers.
Documentation can be tedious and time-consuming, yet it’s essential for any product or project. My goal was simple: make KB writing faster, smarter, and more accessible using AI.
The first step was crafting effective prompts for Google Gemini. I experimented with different ways to instruct the AI to generate:
Prompt tuning was iterative, requiring testing, tweaking, and refining to get reliable results.
Next, I wrapped the prompt logic in a Python script that:
I chose a desktop app approach to give users full ownership — no subscriptions or cloud storage required.
Developers wanted flexibility, so I included:
After initial release, feedback helped shape features and usability. I prioritized:
These elements helped set it apart from typical SaaS doc tools.
If you’re a developer or technical writer frustrated with doc creation, check out the AI Knowledge Base Article Creator — the desktop app that makes writing KBs fast, local, and subscription-free.
