How to Level Up Your Portfolio in the AI Era: From Technical

Until recently, building a technical writing portfolio could be as simple as creating a website, adding a list of articles, describing your writing experience, and linking to your social profiles.


That's no longer enough.


Developers can ask an AI assistant to generate an explanation of an API, summarize documentation, produce a tutorial outline, or even write a first version of a coding article in seconds. In 2026, large language models are deeply integrated into developer workflows—GitHub Copilot suggests code in real time, ChatGPT and Claude draft documentation, and AI-powered tools like Mintlify and Swimm auto-generate and maintain technical content. The bar for "technically correct writing" has never been lower.


That changes what a technical writer brings to the table.


The valuable skill is no longer simply producing technically correct sentences. It's understanding the technology well enough to know what should be written, testing whether the instructions actually work, identifying where developers will get stuck, and turning that knowledge into documentation someone can implement.


That's the thinking behind my portfolio website.


I built it as more than an online résumé. I wanted it to demonstrate how I approach developer education.


This article explains how I built the portfolio, the technologies behind it, how I organized the application, how I deployed it, and what the project taught me about becoming a technical writer for developers during this AI era.


Table of Contents


via FreeCodeCamp

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