Ghost Mentor Match: Channeling Coding Spirits & a Git Ofrenda with Qwen & Gemma

A developer built Ghost Mentor Match, an open-source AI mentorship and Día de los Muertos code-remembrance platform that pairs an OpenAI-compatible inference adapter with Qwen 3.8-27B on Cerebras and Google Gemma 2 via local Ollama, switchable with a single UI toggle. The app renders git log commits, deprecated modules and sunsetted side projects as glowing marigold cards on a digital altar, and was scaffolded with Cursor and GitHub Copilot during the Hacktoberfest Open-Source AI Challenge.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine https://dev.to/challenges/hacktoberfest-week4-2026-10-26 Every software project is haunted. Beneath the clean production UI lives a graveyard of deleted functions, abandoned architectures, TODO comments from years ago, and 2:00 AM debugging sessions where the machine seems to have a mind of its own. Inspired by the OctoberFest mentor-match architecture and this week's Ghost in the Machine theme, I built Ghost Mentor Match: The Spirit in the Machine —an open-source AI mentorship and Día de los Muertos code-remembrance platform. The application bridges both halves of the challenge prompt through two interactive experiences: git log commits, deprecated modules, or sunsetted side projects onto a glowing digital altar adorned with marigolds 🔗 GitHub Repository: https://github.com/CodeWithPritom/mentor-match I designed and built Ghost Mentor Match with an open-source AI core from the ground up: Qwen 3.8-27B & Google Gemma 2 : qwen-3.8-27b gemma2:2b http://localhost:11434 . 090A0F in 00F5D4 with warm Día de los Muertos marigold gold FFB703 . mentor-match workflow using modern React/Tailwind and an OpenAI-compatible open-weight inference adapter. Switching between cloud-hosted open weights Cerebras and 100% offline local weights Ollama + Gemma takes a single toggle in the UI. Building a developer mentorship tool that inspects broken stack traces and private git histories highlights exactly why open-weight models and open innovation beat closed, proprietary APIs: APIConnectionError when your Wi-Fi drops during a late-night coding session. By supporting local open weights on consumer hardware, developers can summon mentor diagnostics completely offline at During the rapid build sprint from the OctoberFest makeathon to final deployment, I used Cursor alongside GitHub Copilot to scaffold the multi-model inference adapter bridging Cerebras qwen-3.8-27b and local Ollama gemma2:2b , wire up the interactive Día de los Muertos altar state, and refine the responsive Figma Make UI components. The moment this project truly landed was when I ran a real commit log from an old, abandoned student project through the Día de los Muertos Code Ofrenda . Seeing a deleted 300-line authentication module honored on screen—with glowing marigold cards reminding me that "no code is truly wasted if it taught the hands that wrote the next version" —genuinely hit different. As developers, we spend so much time deleting, refactoring, and moving on that we rarely pause to appreciate the messy early commits that carried us forward. Turning git log from a dry audit trail into a living altar of engineering memories captured the exact thin line between past and present that Halloween and Día de los Muertos represent.