Describe your codebase and history
Codebase age, how many rounds of AI-assisted feature additions it's been through, test coverage, and whether you maintain architecture documentation.
CURSOR / GITHUB COPILOT / REPLIT / LOVABLE COMPARISONS
Maintain Bench
Describe your codebase age, how many rounds of AI-assisted feature additions it's been through, and test coverage — get a transparent maintainability risk score with reasoning about how AI-generated code debt accumulates.
- Transparent, weighted risk scoring
- Reasoning shown per input, plus recommendations
- All answers stay in your browser
Answer the questions and click Score maintainability risk to see your codebase's AI-generated debt risk.
Why this score
Recommendations
How it works
We compute a weighted risk score
Each input contributes risk points on a transparent 0-100 scale — more feature rounds and lower test coverage raise risk, while maintained architecture docs lower it.
Get a verdict with reasoning and recommendations
A low/moderate/high maintainability risk verdict, plus a reasoning line per input and concrete next steps to reduce accumulated AI-generated code debt.
Continue learning: AI coding tool limitations compared · Which AI coding tool is best for MVP development?
Frequently asked questions
What counts as "AI-generated code debt"?
Repeated rounds of AI-prompted changes without a human architecture review tend to accumulate inconsistent patterns, duplicated logic, and workarounds — this tool estimates that accumulation risk from observable project characteristics rather than reading your actual code.
Does this analyze my actual codebase?
No — it's a self-reported estimate based on codebase age, number of AI-assisted feature rounds, test coverage, and documentation practices. It's a starting signal, not a static analysis of your files.
Why does test coverage matter so much to the score?
Low or no automated test coverage means AI-suggested changes are more likely to introduce regressions that go unnoticed until they reach users, which compounds maintainability risk faster than most other factors.
Is this the same as Prompt Debt or Technical Debt Cost Estimator?
Prompt Debt looks for specific areas where prompts repeatedly work around architecture problems; Technical Debt Cost Estimator prices out debt in dollars. Maintain Bench gives a single overall risk score from project-level characteristics.
How We Compare
| Feature | MVPHub | Manual code review / static analysis tools | General AI assistant judgment call |
|---|---|---|---|
| Transparent, weighted risk formula | Included | Limited | Not included |
| Reasoning per input factor | Included | Not included | Limited |
| Concrete recommendations included | Included | Not included | Limited |
| Reads your actual source code | Not included | Included | Not included |
Static analysis tools read actual code but need setup and configuration; asking a general AI assistant gives an informal opinion without a consistent formula. MVPHub gives an instant, transparent risk estimate from project characteristics as a quick starting signal.
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