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AI · March 22, 2026

roast-my-code

AI that scores and roasts your codebase for AI slop patterns

roast-my-code launched on March 22, 2026 with 3 votes, #3,303 of 23,380 launches that month and more than 50% of that year's launches.

Visit github.com ↗roast-my-code alternativestop 14% of March 2026

What it does

roast-my-code is a CLI that scans your repo for AI-generated code smell patterns — TODOs, placeholder variable names (foo/bar/temp), empty exception handlers, commented-out blocks — and scores it 0–100. It then calls an LLM (Groq free tier, $0 to run) to generate a brutal roast referencing your actual file names and worst offenders. Unlike pylint or flake8, it specifically targets what AI coding assistants leave behind. Exports a shareable HTML report + badge.

A brutally honest, funny AI-powered code quality roaster - Rohan5commit/roast-my-code

The AI that roasts your codebase so your teammates don't have to. git clone https://github.com/Rohan5commit/roast-my-code cd roast-my-code pip install -e . Free LLM Setup (Recommended) Use Groq as primary (free tier), and NVIDIA NIM as backup. roast ./my-project roast https://github.com/user/repo roast https://github.com/user/repo/tree/main --no-llm roast ./my-project --no-llm --output report.html Provider controls: roast ./my-project --provider groq --model llama-3.3-70b-versatile roast ./my-project --provider auto --backup-provider nim --backup-model microsoft/phi-4-mini-instruct CI and machine-readable output: roast ./my-project --no-llm --json-output roast-report.json roast ./my-project…from github.com

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