This is a submission for the DEV Weekend Challenge: Community

The Community

I built this for the builders who are too tired to speak.

We’ve all been there: it’s 2 AM, your terminal is finally green, the features are humming, and you’ve just pushed that final commit. You feel a surge of triumph, but then—the wall hits. To share your work with the DEV community, you have to face the blinking, judgmental cursor of a blank text editor. You have to translate the elegant logic of your functions into human sentences.

For many of us, the “paperwork” of coding—the documentation, the blog posts, the storytelling—is where our projects go to die. I built this for every developer who has amazing code sitting in a dark repository because they didn’t have the emotional energy to write the “How I Built It” post. I built this for us.

What I Built

ForkToPost is a bridge between your repository and your community. It is an AI-powered narrative engine that analyzes your codebase and breathes life into a draft submission post.

Inspired by my previous work on Source Persona, ForkToPost doesn’t just list your files; it interprets your intent. It looks at your forks, your commits, and your structure to generate a meaningful starting point for your next DEV post. It’s designed to handle the “heavy lifting” of structural writing so you can focus on adding your unique human spark.

Demo

You can explore the project and see how it transforms raw code into readable stories here:

https://github.com/vero-code/forktopost

Code

How I Built It

The journey of building ForkToPost was one of radical empathy. I had to ask myself: What does a developer actually need when they are exhausted? They don’t need more complexity; they need a partner.

I utilized a modern stack designed for speed and intelligence:

• React & TypeScript: To ensure the interface felt snappy and reliable.
• Tailwind CSS: To create a focused, low-friction UI that doesn’t overwhelm the senses.
• Gemini Integration: The “soul” of the app, which uses specialized prompting to identify the “Aha!” moments in a user’s code.
• GitHub: To seamlessly pull repository data without making the user copy-paste their entire life.

Technical Architecture

I designed the system to follow a Context-Extraction-Transformation pipeline:

1. The Ingestion Layer: The user provides a repository URL. The system uses the GitHub API to crawl the file tree, prioritizing README.md, package.json, and core logic directories.
2. The Context Synthesis Engine: Instead of sending raw code to an LLM (which hits token limits and loses focus), I built a “Context Scraper.” It extracts the technological fingerprint of the project—identifying the stack, the project’s scale, and the primary problem it solves.
3. The Persona Layer: Drawing from the philosophy of Source Persona, the engine applies a “Community-First” lens. It doesn’t just summarize; it looks for the emotional hooks—why this project matters to other developers.
4. The Markdown Generator: The final output is structured specifically for the DEV.to editor, pre-formatted with Liquid tags and section headers to ensure the path from “Code” to “Publish” is as short as possible.

The Data Flow:
User Input -> GitHub API Fetcher -> Context Filter -> LLM Narrative Processor -> Markdown Stream -> User's Screen.

Building this reminded me that technology is most powerful when it protects our time for creativity. ForkToPost is my love letter to the DEV community—a tool to ensure that no great project is ever left unheard.

This post was generated with ForkToPost — transform your repositories into compelling stories.