Slopapalooza
1. Before prompting AI to write code, is there a written spec or acceptance criteria?
2. Does a human review the architecture AI suggests before implementing it?
3. Are acceptance criteria clear before prompting — not invented after the code lands?
4. Do AI-generated changes come with tests that someone actually trusts?
5. Can a developer on your team explain the architecture of AI-generated code — components, data flow, failure modes — well enough to direct future changes?
6. Are prompts, decisions, and tradeoffs captured somewhere durable — not just in chat history?
7. Is your repo free of repeated half-solutions to the same problem?

Each “no” is one slop point. Lower is better. The scoring lives client-side — your answers never leave this page.