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Hawksxo
Hawksxo

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How I Built an Event-Driven Go Microservice to Automate Tech Updates from GitHub to LinkedIn

#ai #opensource #architecture #go

As developers, we ship features every day, but summarizing technical Pull Requests or Release notes into engaging LinkedIn posts is often an afterthought or a manual chore.

To solve this, I built Git-To-Feedβ€”an open-source Go microservice that listens to GitHub webhooks, processes technical context via Gemini AI, and requires a human approval tap in Discord before publishing to LinkedIn.

πŸ—οΈ System Architecture

Here is how the event-driven pipeline flows:

flowchart TD
    GH["GitHub Webhook"] -->|"HMAC Verified"| WH["Webhook Handler"]
    WH --> PIPE["Pipeline Gemini AI"]
    PIPE --> BOT["Discord Bot"]
    BOT -->|"Approve / Reject"| APP["Approval Engine"]
    APP -->|"Published"| LI["LinkedIn API"]

πŸ› οΈ Key Technical Features

  • Package-by-Feature Layout: Domain logic (internal/approval, internal/pipeline, internal/publisher) is cleanly separated from infrastructure adapters (internal/platform).

  • HMAC Signature Verification: Webhooks are validated before processing payload memory.

  • Anti-Cringe & Few-Shot Prompting: Structured AI templates convert technical jargon into clear release announcements without corporate fluff.

  • Human-in-the-Loop: Discord WebSocket bot renders interactive action buttons (Approve / Reject) so no post goes live without dev review.

🀝 Open Source & Contributing

The repository is live on GitHub under the MIT license!

πŸ‘‰ Git To Feed - GTF

We have open issues labeled good first issue and help wanted for CI/CD setup, multi-channel routing, and test coverage. PRs and star support are highly appreciated!

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