Ghost in the Machine: Necromancing Dead Codebases Locally with Gemma 3 & Ollama
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 4: Ghost in the Machine Disclosure: this project was built with AI assistance — a local Gemma 3 model performed the code autopsy and drafted rewrites through Ollama, and a human verified every finding, rejected the invented ones, and wrote the tests. No cloud AI service was used. Ghost in the Machine: Necromancing Dead…
This article details a Python tool called "The Legacy Code Necromancer" that can resurrect abandoned codebases and generate a detailed audit report. The tool runs locally on a single machine, using Gemma 3 through Ollama to analyze the code, remove sensitive information, and suggest improvements. The author ran the tool on a sample directory containing two Python files with fake credentials, revealing 15 issues in total.
However, only 8 were confirmed critical flaws, while the rest were either invented by the model or not present in the code. The author rejected the unreliable suggestions and documented the findings, rejecting the model's inaccurate "Cause of Death" claims. The repository includes the annotated report and the final code output.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
