🗓️ Monthly Dev Report: June 2026

A developer built ClassifierAI, a Chrome extension that uses TensorFlow.js to detect AI-generated articles and images on Dev.to. The model was trained on 866 images using Google's Teachable Machine. The project was developed in collaboration with @codingwithjiro.

Hey everyone I bring you my development journey on what I have discovered, accomplishments for this month, and the goals for next month Additionally, I will share some posts highlights on what post I am proud of sharing to Dev.to and my top 3 posts that stood out to me this month Worked with @codingwithjiro on ClassifierAI: A Chrome Extension that detects AI-Generated articles on dev.to It was fun working with Elmar and looking forward for more collaboration work in the future If you are interested in this project, feel free to contribute A Google Chrome Extension that integrates Machine Learning to determine if the image and the dev.to article, that the user is viewing, is AI-Generated. This uses Tensorflow.js to perform Image Classification and Text Classification. The model is trained using Teachable Machine https://teachablemachine.withgoogle.com/ by Google where it is train from 866 images, that consists of AI and Non-AI images, using the following settings: Clone or download the repository and navigate to the project directory. Install the project dependencies: npm install Build the extension: npm run build Open Google Chrome and navigate to: chrome://extensions Enable Developer Mode in the top-right corner. Click Load unpacked and select the generated dist/ folder. The extension is now installed and ready to use. This is the overall demo of the use… @lovestaco https://dev.to/lovestaco A post on why LLM understand...that. @itsugo https://dev.to/itsugo A post of Aryan's experience on DEV @artemkozak https://dev.to/artemkozak A Docker Visualizer that is helpful for visual programmers and for big projects